Programming Languages

Spot errors in your Go code you didn’t even know you were making and boost your productivity by avoiding common mistakes and pitfalls.

100 Go Mistakes and How to Avoid Them shows you how to:

• Dodge the most common mistakes made by Go developers
• Structure and organize your Go application
• Handle data and control structures efficiently
• Deal with errors in an idiomatic manner
• Improve your concurrency skills
• Optimize your code
• Make your application production-ready and improve testing quality

100 Go Mistakes and How to Avoid Them puts a spotlight on common errors in Go code you might not even know you’re making. You’ll explore key areas of the language such as concurrency, testing, data structures, and more—and learn how to avoid and fix mistakes in your own projects. As you go, you’ll navigate the tricky bits of handling JSON data and HTTP services, discover best practices for Go code organization, and learn how to use slices efficiently.

Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambda expressions and Streams. If you're interested in applying FP concepts to your Java code, this book is for you.

Author Ben Weidig highlights different aspects of functional programming and shows you how to incorporate them into your code without going "fully functional." You'll learn how, when, and why to use FP concepts such as immutability and pure functions to write more concise, reasonable, and future-proof code. Many developers seek to expand their horizons by using OOP and FP together. It's no longer either-or; it's both.

In this book, you will:

• Get a high-level overview of functional programming, including the types already available to Java developers
• Explore different FP concepts and learn how to use them
• Learn how to augment your code and use Java's new functional features in your daily work without going fully functional
• Develop a functional mindset and improve your programming skills regardless of language or paradigm

Linux is today’s dominant Internet server platform. System administrators and Web developers need deep Linux fluency, including expert knowledge of shells and the command line. This is the only guide with everything you need to achieve that level of Linux mastery. Renowned Linux expert Mark Sobell has brought together comprehensive, insightful guidance on the tools sysadmins, developers, and power users need most, and has created an outstanding day-to-day reference, updated with assistance from new coauthor Matthew Helmke.

This title is 100 percent distribution and release agnostic. Packed with hundreds of high-quality, realistic examples, it presents Linux from the ground up: the clearest explanations and most useful information about everything from filesystems to shells, editors to utilities, and programming tools to regular expressions.

Use a Mac? You’ll find coverage of the macOS command line, including macOS-only tools and utilities that other Linux/UNIX titles ignore.

A Practical Guide to Linux® Commands, Editors, and Shell Programming, Fourth Edition, is the only guide to deliver

• A MariaDB chapter to get you started with this ubiquitous relational database management system (RDBMS)
• A masterful introduction to Python for system administrators and power users
• In-depth coverage of the bash and tcsh shells, including a complete discussion of environment, inheritance, and process locality, plus coverage of basic and advanced shell programming
• Practical explanations of core utilities, from aspell to xargs, including printf and sshfs/curlftpfs, PLUS macOS—specific utilities from ditto to SetFile
• Expert guidance on automating remote backups using rsync
• Dozens of system security tips, including step-by-step walkthroughs of implementing secure communications using ssh and scp
• Tips and tricks for customizing the shell, including step values, sequence expressions, the eval builtin, and implicit command-line continuation
• High-productivity editing techniques using vim and emacs
• A comprehensive, 300-plus-page command reference section covering 102 utilities, including find, grep, sort, and tar
• Instructions for updating systems using apt-get and dnf
• And much more, including coverage of BitTorrent, gawk, sed, find, sort, bzip2, and regular expressions

In A Tour of C++, Third Edition, Bjarne Stroustrup provides an overview of ISO C++, C++20, that aims to give experienced programmers a clear understanding of what constitutes modern C++. Featuring carefully crafted examples and practical help in getting started, this revised and updated edition concisely covers most major language features and the major standard-library components needed for effective use.

Stroustrup presents C++ features in the context of the programming styles they support, such as object-oriented and generic programming. His tour is remarkably comprehensive. Coverage begins with the basics, then ranges widely through more advanced topics, emphasizing newer language features. This edition covers many features that are new in C++20 as implemented by major C++ suppliers, including modules, concepts, coroutines, and ranges. It even introduces some library components in current use that are not scheduled for inclusion in the standard until C++23.

This authoritative guide does not aim to teach you how to program (for that, see Stroustrup's Programming: Principles and Practice Using C++, Second Edition), nor will it be the only resource you'll need for C++ mastery (for that, see Stroustrup's The C++ Programming Language, Fourth Edition, and recommended online sources). If, however, you are a C or C++ programmer wanting greater familiarity with the current C++ language, or a programmer versed in another language wishing to gain an accurate picture of the nature and benefits of modern C++, you won't find a shorter or simpler introduction.

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.

In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level.

This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models.

The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming.

You'll also understand the common problems that cause undesirable behavior in concurrent programs.

Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable.

By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.

What you will learn

• Write efficient numerical code with NumPy, pandas, and Xarray
• Use Cython and Numba to achieve native performance
• Find bottlenecks in your Python code using profilers
• Optimize your machine learning models with JAX
• Implement multithreaded, multiprocessing, and asynchronous programs
• Solve common problems in concurrent programming, such as deadlocks
• Tackle architecture challenges with design patterns

Who this book is for

This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.

ANSI Common Lisp combines an introduction to Lisp programming, and a convenient, up-to-date reference manual for ANSI Common Lisp. Beginners will find that its careful explanations and interesting examples make Lisp programming easy to learn. Professional programmers will appreciate its thorough, practical approach.

FEATURES:

• An up-to-date reference manual for ANSI Common Lisp.
• An in-depth look at object-oriented programming. Explains the Common Lisp Object System (CLOS), and also shows how to write your own object-oriented language.
• Over 20 substantial examples, including programs for ray-tracing, text generation, pattern-matching, logical inference, generating HTML, sorting and searching, file I/O, compression, and date arithmetic.
• Special attention to critical concepts, including prefix syntax, code vs. data, recursion, functional programming, types, implicit pointers, dynamic allocation, closures, macros, class precedence, and generic functions vs. message-passing.
• A complete guide to optimization.
• The clearest and most thorough explanation of macros in any introductory book.
• Examples that illustrate Lisp programming styles, including rapid prototyping, bottom-up programming, object-oriented programming, and embedded languages.
• An appendix on debugging, with examples of common errors.

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward.

With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites.

Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:

• Dependency inversion and its links to ports and adapters (hexagonal/clean architecture)
• Domain-driven design’s distinction between Entities, Value Objects, and Aggregates
• Repository and Unit of Work patterns for persistent storage
• Events, commands, and the message bus
• Command-query responsibility segregation (CQRS)
• Event-driven architecture and reactive microservices

Assembly is a low-level programming language that's one step above a computer's native machine language. Although assembly language is commonly used for writing device drivers, emulators, and video games, many programmers find its somewhat unfriendly syntax intimidating to learn and use.

Since 1996, Randall Hyde's The Art of Assembly Language has provided a comprehensive, plain-English, and patient introduction to 32-bit x86 assembly for non-assembly programmers. Hyde's primary teaching tool, High Level Assembler (or HLA), incorporates many of the features found in high-level languages (like C, C++, and Java) to help you quickly grasp basic assembly concepts. HLA lets you write true low-level code while enjoying the benefits of high-level language programming.

As you read The Art of Assembly Language, you'll learn the low-level theory fundamental to computer science and turn that understanding into real, functional code.

You'll learn how to:

• Edit, compile, and run HLA programs
• Declare and use constants, scalar variables, pointers, arrays, structures, unions, and namespaces
• Translate arithmetic expressions (integer and floating point)
• Convert high-level control structures

This much anticipated second edition of The Art of Assembly Language has been updated to reflect recent changes to HLA and to support Linux, Mac OS X, and FreeBSD. Whether you're new to programming or you have experience with high-level languages, The Art of Assembly Language, 2nd Edition is your essential guide to learning this complex, low-level language.

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.

Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:

• Create artful graphs to visualize complex data sets and functions
• Write more efficient code using parallel R and vectorization
• Interface R with C/C++ and Python for increased speed or functionality
• Find new R packages for text analysis, image manipulation, and more
• Squash annoying bugs with advanced debugging techniques

Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

Step into the world of asynchronous programming with confidence by conquering the challenges of unclear concepts with this hands-on guide. Using functional examples, this book simplifies the trickiest concepts, exploring goroutines, fibers, futures, and callbacks to help you navigate the vast Rust async ecosystem with ease.

You’ll start by building a solid foundation in asynchronous programming and explore diverse strategies for modeling program flow. The book then guides you through concepts like epoll, coroutines, green threads, and callbacks using practical examples. The final section focuses on Rust, examining futures, generators, and the reactor-executor pattern. You’ll apply your knowledge to create your own runtime, solidifying expertise in this dynamic domain. Throughout the book, you’ll not only gain proficiency in Rust's async features but also see how Rust models asynchronous program flow.

By the end of the book, you'll possess the knowledge and practical skills needed to actively contribute to the Rust async ecosystem.

What you will learn

• Explore the essence of asynchronous program flow and its significance
• Understand the difference between concurrency and parallelism
• Gain insights into how computers and operating systems handle concurrent tasks
• Uncover the mechanics of async/await
• Understand Rust’s futures by implementing them yourself
• Implement green threads from scratch to thoroughly understand them

Who this book is for

This book is for programmers who want to enhance their understanding of asynchronous programming, especially those experienced in VM’ed or interpreted languages like C#, Java, Python, JavaScript, and Go. If you work with C or C++ but have had limited exposure to asynchronous programming, this book serves as a resource to broaden your knowledge in this area. Although the examples are predominantly in Rust, the intricacies of Rust’s futures are covered in detail. So, anyone with a keen interest in learning Rust or with working knowledge of Rust will be able to get the most out of this book.

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. You'll learn the basics of Python and explore Python’s rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks.

The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files. You’ll learn how to create programs that effortlessly perform useful feats of automation to:

• Search for text in a file or across multiple files
• Create, update, move, and rename files and folders
• Search the Web and download online content
• Update and format data in Excel spreadsheets of any size
• Split, merge, watermark, and encrypt PDFs
• Send email responses and text notifications
• Fill out online forms

Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python, 2nd Edition.

The GNU Autotools make it easy for developers to create software that is portable across many Unix-like operating systems, and even Windows. Although the Autotools are used by thousands of open source software packages, they have a notoriously steep learning curve.

Autotools is the first book to offer programmers a tutorial-based guide to the GNU build system. Author John Calcote begins with an overview of high-level concepts and a hands-on tour of the philosophy and design of the Autotools. He then tackles more advanced details, like using the M4 macro processor with Autoconf, extending the framework provided by Automake, and building Java and C# sources. He concludes with solutions to frequent problems encountered by Autotools users.

This thoroughly revised second edition has been updated to cover the latest versions of the Autotools. It includes five new chapters on topics like pkg-config, unit and integration testing with Autotest, internationalizing with GNU tools, the portability of gnulib, and using the Autotools with Windows. As with the first edition, you'll focus on two projects: Jupiter, a simple “Hello, world!” program, and FLAIM, an existing, complex open source effort containing four separate but interdependent projects. Follow along as the author takes Jupiter’s build system from a basic makefile to a full-fledged Autotools project, and then as he converts the FLAIM projects from complex, hand-coded makefiles to the powerful and flexible GNU build system.

Learn how to:

• Master the Autotools build system to maximize your software’s portability
• Generate Autoconf configuration scripts to simplify the compilation process
• Produce portable makefiles with Automake
• Build cross-platform software libraries with Libtool
• Write your own Autoconf macros

This detailed introduction to the GNU Autotools is indispensable for developers and programmers looking to gain a deeper understanding of this complex suite of tools. Stop fighting against the system and make sense of it all with the second edition of Autotools!

Bare Metal C will teach you how to program embedded devices with the C programming language. For embedded system programmers who want precise and complete control over the system they are using, this book pulls back the curtain on what the compiler is doing for you so that you can see all the details of what's happening with your program.

The first part of the book teaches C basics with the aid of a low-cost, widely available bare metal system (the Nucleo Arm evaluation system), which gives you all the tools needed to perform basic embedded programming. As you progress through the book you’ll learn how to integrate serial input/output (I/O) and interrupts into your programs. You’ll also learn what the C compiler and linker do behind the scenes, so that you’ll be better able to write more efficient programs that maximize limited memory. Finally, you’ll learn how to use more complex, memory hungry C features like dynamic memory, file I/O, and floating-point numbers.

Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You’ll build on simple programming techniques like loops and conditionals to create your own custom functions. You’ll come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio.

BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL

You’ve completed a basic Python programming tutorial or finished Al Sweigart’s best selling Automate the Boring Stuff with Python. What’s the next step toward becoming a capable, confident software developer?

Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, this book will teach you how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program—not just in Python but in any language.

You’ll learn:

• Coding style, and how to use Python’s Black auto-formatting tool for cleaner code
• Common sources of bugs, and how to detect them with static analyzers
• How to structure the files in your code projects with the Cookiecutter template tool
• Functional programming techniques like lambda and higher-order functions
• How to profile the speed of your code with Python’s built-in timeit and cProfile modules
• The computer science behind Big-O algorithm analysis
• How to make your comments and docstrings informative, and how often to write them
• How to create classes in object-oriented programming, and why they’re used to organize code

Toward the end of the book you’ll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book’s best practices. You’ll test your skills by implementing the program yourself.

Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer in the process as you learn to write readable code that’s easy to debug and perfectly Pythonic.

Black Hat Go explores the darker side of Go, the popular programming language revered by hackers for its simplicity, efficiency, and reliability. It provides an arsenal of practical tactics from the perspective of security practitioners and hackers to help you test your systems, build and automate tools to fit your needs, and improve your offensive security skillset, all using the power of Go.

You’ll begin your journey with a basic overview of Go’s syntax and philosophy and then start to explore examples that you can leverage for tool development, including common network protocols like HTTP, DNS, and SMB. You’ll then dig into various tactics and problems that penetration testers encounter, addressing things like data pilfering, packet sniffing, and exploit development. You’ll create dynamic, pluggable tools before diving into cryptography, attacking Microsoft Windows, and implementing steganography.

You'll learn how to:

• Make performant tools that can be used for your own security projects
• Create usable tools that interact with remote APIs
• Scrape arbitrary HTML data
• Use Go’s standard package, net/http, for building HTTP servers
• Write your own DNS server and proxy
• Use DNS tunneling to establish a C2 channel out of a restrictive network
• Create a vulnerability fuzzer to discover an application’s security weaknesses
• Use plug-ins and extensions to future-proof products
• Build an RC2 symmetric-key brute-forcer
• Implant data within a Portable Network Graphics (PNG) image

Are you ready to add to your arsenal of security tools? Then let’s Go!

Black Hat GraphQL is for anyone interested in learning how to break and protect GraphQL APIs with the aid of offensive security testing. Whether you’re a penetration tester, security analyst, or software engineer, you’ll learn how to attack GraphQL APIs, develop hardening procedures, build automated security testing into your development pipeline, and validate controls, all with no prior exposure to GraphQL required.

Following an introduction to core concepts, you’ll build your lab, explore the difference between GraphQL and REST APIs, run your first query, and learn how to create custom queries.

You’ll also learn how to:

• Use data collection and target mapping to learn about targets
• Defend APIs against denial-of-service attacks and exploit insecure configurations in GraphQL servers to gather information on hardened targets
• Impersonate users and take admin-level actions on a remote server
• Uncover injection-based vulnerabilities in servers, databases, and client browsers
• Exploit cross-site and server-side request forgery vulnerabilities, as well as cross-site WebSocket hijacking, to force a server to request sensitive information on your behalf
• Dissect vulnerability disclosure reports and review exploit code to reveal how vulnerabilities have impacted large companies

This comprehensive resource provides everything you need to defend GraphQL APIs and build secure applications. Think of it as your umbrella in a lightning storm.

When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. In this second edition of the bestselling Black Hat Python, you’ll explore the darker side of Python’s capabilities: everything from writing network sniffers, stealing email credentials, and bruteforcing directories to crafting mutation fuzzers, investigating virtual machines, and creating stealthy trojans.

All of the code in this edition has been updated to Python 3.x. You’ll also find new coverage of bit shifting, code hygiene, and offensive forensics with the Volatility Framework as well as expanded explanations of the Python libraries ctypes, struct, lxml, and BeautifulSoup, and offensive hacking strategies like splitting bytes, leveraging computer vision libraries, and scraping websites.

You’ll learn how to:

• Create a trojan command-and-control server using GitHub
• Detect sandboxing and automate common malware tasks like keylogging and screenshotting
• Extend the Burp Suite web-hacking tool
• Escalate Windows privileges with creative process control
• Use offensive memory forensics tricks to retrieve password hashes and find vulnerabilities on a virtual machine
• Abuse Windows COM automation
• Exfiltrate data from a network undetected

When it comes to offensive security, you need to be able to create powerful tools on the fly. Learn how with Black Hat Python.

CSS3 is the technology behind most of the eye-catching visuals on the Web. But the docs can be dry, murky, and full of dastardly caveats for inconsistent browser implementations.

This completely updated second edition of the best-selling Book of CSS3 distills the dense technical language of the CSS3 specification into plain English and shows you what CSS3 can do now, in all major browsers. You’ll find fully revised coverage of the updated syntax of gradients, grids, and flexible box layout, as well as all-new chapters on values and sizing, and graphical effects like filter effects and blend modes.

With an abundance of real-world examples and a focus on the principles of good design, The Book of CSS3 will help you expand your CSS skills, as you learn how to:

• Style text with custom font choices, drop shadows, and other effects
• Create, position, and resize background images on the fly
• Spice up static web pages with event-driven transitions and animations
• Apply 2D and 3D transformations to text and images
• Use linear and radial gradients to create smooth color transitions
• Take control of layout with grids, columns, and flexible alignment
• Tailor a website’s appearance to every type of web-capable device The companion website includes up-to-date browser compatibility charts, links to tutorials and resources, and live CSS3 examples.

The Web can be an ugly place. Make it pretty with The Book of CSS3.

F# brings the power of functional-first programming to the .NET Framework, a platform for developing software in the Microsoft Windows ecosystem. If you're a traditional .NET developer used to C# and Visual Basic, discovering F# will be a revelation that will change how you code, and how you think about coding.

In The Book of F#, Microsoft MVP Dave Fancher shares his expertise and teaches you how to wield the power of F# to write succinct, reliable, and predictable code. As you learn to take advantage of features like default immutability, pipelining, type inference, and pattern matching, you'll be amazed at how efficient and elegant your code can be.

You'll also learn how to:

• Exploit F#'s functional nature using currying, partial application, and delegation
• Streamline type creation and safety with record types and discriminated unions
• Use collection types and modules to handle data sets more effectively
• Use pattern matching to decompose complex types and branch your code within a single expression
• Make your software more responsive with parallel programming and asynchronous workflows
• Harness object orientation to develop rich frameworks and interact with code written in other .NET languages
• Use query expressions and type providers to access and manipulate data sets from disparate sources

Break free of that old school of programming. The Book of F# will show you how to unleash the expressiveness of F# to create smarter, leaner code.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.

You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:

• The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
• Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
• How to access R’s thousands of functions, libraries, and data sets
• How to draw valid and useful conclusions from your data
• How to create publication-quality graphics of your results

Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Ruby is famous for being easy to learn, but most users only scratch the surface of what it can do. While other books focus on Ruby's trendier features, The Book of Ruby reveals the secret inner workings of one of the world's most popular programming languages, teaching you to write clear, maintainable code.

You'll start with the basics—types, data structures, and control flows—and progress to advanced features like blocks, mixins, metaclasses, and beyond. Rather than bog you down with a lot of theory, The Book of Ruby takes a hands-on approach and focuses on making you productive from day one. As you follow along, you’ll learn to:

• Leverage Ruby's succinct and flexible syntax to maximize your productivity
• Balance Ruby's functional, imperative, and object-oriented features
• Write self-modifying programs using dynamic programming techniques
• Create new fibers and threads to manage independent processes concurrently
• Catch and recover from execution errors with robust exception handling
• Develop powerful web applications with the Ruby on Rails framework

Each chapter includes a "Digging Deeper" section that shows you how Ruby works under the hood, so you'll never be caught off guard by its deceptively simple scoping, multithreading features, or precedence rules.

Whether you're new to programming or just new Ruby, The Book of Ruby is your guide to rapid, real-world software development with this unique and elegant language.

C++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies.

With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch.

You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system.

By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.

What you will learn

• Gain insights into the nature of low latency applications across various industries
• Understand how to design and implement low latency applications
• Explore C++ design paradigms and features for low latency development
• Discover which C++ features are best avoided in low latency development
• Implement best practices and C++ features for low latency
• Measure performance and improve latencies in the trading system

Who this book is for

This book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.

This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard.

From the Preface:

We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form.

As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

This latest edition of the bestselling Packt series will give you a solid foundation to start building projects using modern C# and .NET with confidence.

You'll learn about object-oriented programming; writing, testing, and debugging functions; and implementing interfaces. You'll take on .NET APIs for managing and querying data, working with the fi lesystem, and serialization. As you progress, you'll explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core.

This latest edition integrates .NET 8 enhancements into its examples: type aliasing and primary constructors for concise and expressive code. You'll handle errors robustly through the new built-in guard clauses and explore a simplified implementation of caching in ASP.NET Core 8.

If that's not enough, you'll also see how native ahead-of-time (AOT) compiler publish lets web services reduce memory use and run faster. You'll work with the seamless new HTTP editor in Visual Studio 2022 to enhance the testing and debugging process. You'll even get introduced to Blazor Full Stack with its new unified hosting model for unparalleled web development flexibility.

What you will learn

• Discover C# 12's new features, including aliasing any type and primary constructors
• Try out the native AOT publish capability for ASP.NET Core 8 Minimal APIs web services
• Build rich web experiences using Blazor Full Stack, Razor Pages, and other ASP.NET Core features
• Integrate and update databases in your apps using Entity Framework Core models
• Query and manipulate data using LINQ
• Build and consume powerful services using Web API and Minimal API

Who this book is for

This book is for beginners as well as intermediate-level C# and .NET programmers who have worked with C# in the past and want to catch up with the changes made in the last few years. Prior exposure to C# or .NET is not a prerequisite. A general understanding of programming will help you to work through the book more comfortably, though the content is suitable for those completely new to programming. If you already have some C# and .NET skills and want to focus on developing practical apps, you can pick up Mark’s other .NET book, Apps and Services with .NET 8, instead.

When you have questions about C# 8.0 or .NET Core, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth there’s so much more to learn. In the tradition of the O’Reilly Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Organized around concepts and use cases, C# 8.0 in a Nutshell provides intermediate and advanced programmers with a concise map of C# and .NET knowledge that also plumbs significant depths.

• Get up to speed on C#, from syntax and variables to advanced topics such as pointers, closures, and patterns
• Dig deep into LINQ with three chapters dedicated to the topic
• Explore concurrency and asynchrony, advanced threading, and parallel programming
• Work with .NET features, including regular expressions, networking, serialization, spans, reflection, and cryptography
• Delve into Roslyn, the modular C# compiler as a service

C# in Depth, Fourth Edition is your key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, you'll master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more.

This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17.

C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of. Designed for intermediate to advanced programmers, C++ Crash Course cuts through the weeds to get you straight to the core of C++17, the most modern revision of the ISO standard. Part 1 covers the core of the C++ language, where you’ll learn about everything from types and functions, to the object life cycle and expressions. Part 2 introduces you to the C++ Standard Library and Boost Libraries, where you'll learn about all of the high-quality, fully-featured facilities available to you. You’ll cover special utility classes, data structures, and algorithms, and learn how to manipulate file systems and build high-performance programs that communicate over networks. You'll learn all the major features of modern C++, including:

• Fundamental types, reference types, and user-defined types
• The object lifecycle including storage duration, memory management, exceptions, call stacks, and the RAII (resource acquisition is initialization) paradigm
• Compile-time polymorphism with templates and run-time polymorphism with virtual classes
• Advanced expressions, statements, and functions
• Smart pointers, data structures, dates and times, numerics, and probability/statistics facilities
• Containers, iterators, strings, and algorithms
• Streams and files, concurrency, networking, and application development

With well over 500 code samples and nearly 100 exercises, C++ Crash Course is sure to help you build a strong C++ foundation. Covers C++17

C++ How to Program presents leading-edge computing technologies in a friendly manner appropriate for introductory college course sequences, based on the curriculum recommendations of two key professional organizations—the ACM and the IEEE.

The best-selling C++ How to Program is accessible to readers with little or no programming experience, yet comprehensive enough for the professional programmer. The Deitels’ signature live-code approach presents the concepts in the context of full working programs followed by sample executions. The early objects approach gets readers thinking about objects immediately—allowing them to more thoroughly master the concepts. Emphasis is placed on achieving program clarity and building well-engineered software. Interesting, entertaining, and challenging exercises encourage students to make a difference and use computers and the Internet to work on problems. To keep readers up-to-date with leading-edge computing technologies, the Tenth Edition conforms to the C++11 standard and the new C++14 standard.

Bestselling Programming Tutorial and Reference Completely Rewritten for the New C++11 Standard

Fully updated and recast for the newly released C++11 standard, this authoritative and comprehensive introduction to C++ will help you to learn the language fast, and to use it in modern, highly effective ways. Highlighting today’s best practices, the authors show how to use both the core language and its standard library to write efficient, readable, and powerful code.

Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language.

C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today's possibilities. Software design is the most essential aspect of a software project because it impacts the software's most important properties: maintainability, changeability, and extensibility.

• Learn how to evaluate your code with respect to software design
• Understand what software design is, including design goals such as changeability and extensibility
• Explore the advantages and disadvantages of each design approach
• Learn how design patterns help solve problems and express intent
• Choose the right form of a design pattern to get the most out of its advantages

C++/CLI in Action is a practical guide that will help you breathe new life into your legacy C++ programs. The book begins with a concise C++/CLI tutorial. It then quickly moves to the key themes of native/managed code interop and mixed-mode programming. You'll learn to take advantage of GUI frameworks like Windows Forms and WPF while keeping your native C++ business logic. The book also covers methods for accessing C# or VB.NET components and libraries.

Written for programmers with a background in another high-level language, in this book, youll learn Modern C++ development hands on using C++20 and its "Big Four" features--Ranges, Concepts, Modules and Coroutines. For more details, see the Preface, and the table of contents diagram inside the front cover.

In the context of 200+, hands-on, real-world code examples, you'll quickly master Modern C++ coding idioms using popular compilers--Visual C++®, GNU® g++, Apple® Xcode® and LLVM®/Clang. After the C++ fundamentals quick start, you'll move on to C++ standard library containers array and vector; functional-style programming with C++20 Ranges and Views; strings, files and regular expressions; object-oriented programming with classes, inheritance, runtime polymorphism and static polymorphism; operator overloading, copy/move semantics, RAII and smart pointers; exceptions and a look forward to C++23 Contracts; standard library containers, iterators and algorithms; templates, C++20 Concepts and metaprogramming; C++20 Modules and large-scale development; and concurrency, parallelism, the C++17 and C++20 parallel standard library algorithms and C++20 Coroutines.

Features

• Rich coverage of C++20's "Big Four": Ranges, Concepts, Modules and Coroutines
• Objects-Natural Approach: Use standard libraries and open-source libraries to build significant applications with minimal code
• Hundreds of real-world, live-code examples
• Modern C++: C++20, 17, 14, 11 and a look to C++23
• Compilers: Visual C++®, GNU® g++, Apple Xcode® Clang, LLVM®/Clang
• Docker: GNU® GCC, LLVM®/Clang
• Fundamentals: Control statements, functions, strings, references, pointers, files, exceptions
• Object-oriented programming: Classes, objects, inheritance, runtime and static polymorphism, operator overloading, copy/move semantics, RAII, smart pointers
• Functional-style programming: C++20 Ranges and Views, lambda expressions
• Generic programming: Templates, C++20 Concepts and metaprogramming
• C++20 Modules: Large-Scale Development
• Concurrent programming: Concurrency, multithreading, parallel algorithms, C++20 Coroutines, coroutines support libraries, C++23 executors
• Future: A look forward to Contracts, range-based parallel algorithms, standard library coroutine support and more

Camel in Action, Second Edition is the most complete Camel book on the market. Written by core developers of Camel and the authors of the highly acclaimed first edition, this book distills their experience and practical insights so that you can tackle integration tasks like a pro.

Sharpen your coding skills by exploring established computer science problems!

Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

Classic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems. All examples are written in Swift 4.1.

Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code.

With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully.

The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design.

The book discusses object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform.

By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code.

What you will learn

• Set up a productive development environment by leveraging automatic tools
• Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details
• Create advanced object-oriented designs using unique features of Python, such as descriptors
• Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design
• Create Python-specific solutions using decorators and descriptors
• Refactor code effectively with the help of unit tests
• Build the foundations for solid architecture with a clean code base as its cornerstone

Who this book is for

This book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming

For weeks, months —nay!—from the very moment you were born, you’ve felt it calling to you. At long last you’ll be united with the programming language you’ve been longing for: Clojure!

As a Lisp-style functional programming language, Clojure lets you write robust and elegant code, and because it runs on the Java Virtual Machine, you can take advantage of the vast Java ecosystem. Clojure for the Brave and True offers a “dessert-first” approach: you’ll start play­ing with real programs immediately, as you steadily acclimate to the abstract but powerful features of Lisp and functional programming. Inside you’ll find an offbeat, practical guide to Clojure, filled with quirky sample programs that catch cheese thieves and track glittery vampires.

Learn how to:

• Wield Clojure’s core functions
• Use Emacs for Clojure development
• Write macros to modify Clojure itself
• Use Clojure’s tools to simplify concurrency and parallel programming Clojure for the Brave and True assumes no prior experience with Clojure, the Java Virtual Machine, or functional programming. Are you ready, brave reader, to meet your true destiny? Grab your best pair of parentheses—you’re about to embark on an epic journey into the world of Clojure!

Build on your existing programming skills and upskill to professional-level C# programming.

In Code Like A Pro in C# you will learn:

• Unit testing and test-driven development
• Refactor a legacy .NET codebase
• Principles of clean code
• Essential backend architecture skills
• Query and manipulate databases with LINQ and Entity Framework Core

Critical business applications worldwide are written in the versatile C# language and the powerful .NET platform, running on desktops, cloud systems, and Windows or Linux servers.

Code Like a Pro in C# makes it easy to turn your existing abilities in C# or another OO language (such as Java) into practical C# mastery. There’s no “Hello World” or Computer Science 101 basics—you’ll learn by refactoring an out-of-date legacy codebase, using new techniques, tools, and best practices to bring it up to modern C# standards.

Get ready to code like a pro in Rust with insider techniques used by Rust veterans!

Code Like a Pro in Rust dives deep into memory management, asynchronous programming, and the core Rust skills that make you a Rust pro! Plus, you’ll find essential productivity techniques for Rust testing, tooling, and project management. You’ll soon be writing high-quality code that needs way less maintenance overhead.

In Code Like A Pro in Rust, you will learn:

• Essential Rust tooling
• Core Rust data structures
• Memory management
• Testing in Rust
• Asynchronous programming for Rust
• Optimized Rust
• Rust project management

Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. It skips the fluff and gets right to the heart of this powerful modern language. You’ll learn how to sidestep common Rust pitfalls and navigate quirks you might never have seen before—even if you’ve been programming for many years! Plus, discover timeless strategies for navigating the evolving Rust ecosystem and ensure your skills can easily adapt to future changes.

Computers are everywhere — most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating?

For more than 20 years, readers have delighted in Charles Petzolds illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing — and how human ingenuity and our compulsion to communicate have shaped every electronic device we use.

This new expanded edition explores more deeply the bit-by-bit, gate-by-gate construction of the heart of every smart device the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Along with new chapters, Petzold has created a new website, CodeHiddenLanguage.com, that uses animated interactive graphics to make computers even easier to comprehend.

From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution.

For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve.

Rather than focusing on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more.

Discover how to:

• Use Rust's standard libraries and data types such as numbers, strings, vectors, structs, Options, and Results to create command-line programs
• Write and test Rust programs and functions
• Read and write files, including stdin, stdout, and stderr
• Document and validate command-line arguments
• Write programs that fail gracefully
• Parse raw and delimited text manually, using regular expressions and Rust crates
• Use and control randomness

Core Java, Volume I: Fundamentals, Twelfth Edition, is the definitive guide to writing robust, maintainable code. Whatever version of Java you are using--up to and including Java 17--this book will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Cay S. Horstmann reveals the most powerful and effective ways to get the job done.

This book is written for readers with prior programming experience who are looking for in-depth coverage of the Java language and platform. You'll learn about all language features in detail, including the recent improvements in Java 17. The applied chapters and code examples cover the most up-to-date capabilities of the vast Java library. For 25 years, Core Java has prepared serious programmers for serious Java programming.

This first of two volumes offers in-depth coverage of fundamental Java programming, including object-oriented programming, generics, collections, lambda expressions, concurrency, and functional programming. Classic material for Swing UI programming is included for those who need it. This edition's new content covers text blocks, switch enhancements, records, pattern matching for instanceof, sealed classes, and more.

• Master foundational techniques, idioms, and best practices for writing superior Java code
• Leverage the power of interfaces, lambda expressions, and inner classes
• Harden programs through effective exception handling and debugging
• Write safer, more reusable code with generic programming
• Improve performance and efficiency with Java's standard collections
• Explore simple programs with JShell and assemble complex programs with archives and modules
• Build cross-platform GUIs with the Swing toolkit
• Fully utilize multicore processors with Java's powerful concurrency model

See Core Java, Volume II: Advanced Features, Twelfth Edition (coming in 2022), for expert coverage of Java 17 enterprise features, the module system, annotations, networking, security, and advanced UI programming.

Learn how to program in Python while making and breaking ciphers—algorithms used to create and send secret messages!

After a crash course in Python programming basics, you’ll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère cipher. You’ll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, the type of encryption used to secure today’s online transactions, including digital signatures, email, and Bitcoin.

Each program includes the full code and a line-by-line explanation of how things work. By the end of the book, you’ll have learned how to code in Python and you’ll have the clever programs to prove it!

You’ll also learn how to:

• Combine loops, variables, and flow control statements into real working programs
• Use dictionary files to instantly detect whether decrypted messages are valid English or gibberish
• Create test programs to make sure that your code encrypts and decrypts correctly
• Code (and hack!) a working example of the affine cipher, which uses modular arithmetic to encrypt a message
• Break ciphers with techniques such as brute-force and frequency analysis

There’s no better way to learn to code than to play with real programs. Cracking Codes with Python makes the learning fun!

Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines.

In Data Analysis with Python and PySpark you will learn how to:

• Manage your data as it scales across multiple machines
• Scale up your data programs with full confidence
• Read and write data to and from a variety of sources and formats
• Deal with messy data with PySpark’s data manipulation functionality
• Discover new data sets and perform exploratory data analysis
• Build automated data pipelines that transform, summarize, and get insights from data
• Troubleshoot common PySpark errors
• Creating reliable long-running jobs

Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you’ve learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required.

This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafores legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. Youll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle todays big data challenges.

Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more. Their code examples and illustrations are so clear, you can understand them even if youre a near-beginner, or your experience is with other procedural or object-oriented languages.

• Build core computer science skills that take you beyond merely writing code
• Learn how data structures make programs (and programmers) more efficient
• See how data organization and algorithms affect how much you can do with todays, and tomorrows, computing resources
• Develop data structure implementation skills you can use in any language
• Choose the best data structure(s) and algorithms for each programming problemand recognize which ones to avoid

Data Structures & Algorithms in Python is packed with examples, review questions, individual and team exercises, thought experiments, and longer programming projects. It’s ideal for both self-study and classroom settings, and either as a primary text or as a complement to a more formal presentation.

An updated, innovative approach to data structures and algorithms

Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++.

The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms.

• Offers a unique multimedia format for learning the fundamentals of data structures and algorithms
• Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design
• Provides clear approaches for developing programs
• Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts

Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

You’ve got data to communicate. But what kind of visualization do you choose, how do you build your visualizations, and how do you ensure that they're up to the demands of the Web?

In Data Visualization with JavaScript, you’ll learn how to use JavaScript, HTML, and CSS to build practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and you'll be building basic visualizations (like bar, line, and scatter graphs) in no time.

You'll also learn how to:

• Create tree maps, heat maps, network graphs, word clouds, and timelines
• Map geographic data, and build sparklines and composite charts
• Add interactivity and retrieve data with AJAX
• Manage data in the browser and build data-driven web applications
• Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries

If you already know your way around building a web page but aren’t quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. You’ll soon be well on your way to creating simple, powerful data visualizations.

Download the source code

Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time.

After speeding through Python’s basic syntax and setting up a complete programming environment, you’ll learn to work with Python’s dynamic data typing, its support for both functional and object-oriented programming techniques, special features like generator expressions, and advanced topics like concurrency. You’ll also learn how to package, distribute, debug, and test your Python project.

Master how to:

• Make Python's dynamic typing work for you to produce cleaner, more adaptive code.
• Harness advanced iteration techniques to structure and process your data.
• Design classes and functions that work without unwanted surprises or arbitrary constraints.
• Use multiple inheritance and introspection to write classes that work intuitively.
• Improve your code's responsiveness and performance with asynchrony, concurrency, and parallelism.
• Structure your Python project for production-grade testing and distribution

The most pedantically pythonic primer ever printed, Dead Simple Python will take you from working with the absolute basics to coding applications worthy of publication.

Deep learning from the ground up using R and the powerful Keras library!

In Deep Learning with R, Second Edition you will learn:

• Deep learning from first principles
• Image classification and image segmentation
• Time series forecasting
• Text classification and machine translation
• Text generation, neural style transfer, and image generation

Deep Learning with R, Second Edition shows you how to put deep learning into action. It’s based on the revised new edition of François Chollet’s bestselling

Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks.

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares.

You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.

You'll also learn how to:

• Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees
• Measure the efficiency and speed of algorithms
• Generate Voronoi diagrams for use in various geometric applications
• Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles
• Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions
• Use simulated annealing to perform global optimization
• Build a decision tree to predict happiness based on a person's characteristics

Once you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.

Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.

With only a basic understanding of Python and high school math, you’ll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you’ll discover how to find and use data-driven solutions to make business decisions.

Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.

You’ll also learn how to:

• Forecast consumer demand
• Optimize marketing campaigns
• Reduce customer attrition
• Predict website traffic
• Build recommendation systems

With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don’t wait; dive right in!

Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things.

Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to:

• Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots
• Explore set theory and probability with programs for coin flips, dicing, and other games of chance
• Solve algebra problems using Python’s symbolic math functions
• Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set
• Write programs to find derivatives and integrate functions

Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 “darts” at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more.

Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math.

Uses Python 3

Your success—and sanity—are closer at hand when you work at a higher level of abstraction, allowing your attention to be on the business problem rather than the details of the programming platform. Domain Specific Languages—"little languages" implemented on top of conventional programming languages—give you a way to do this because they model the domain of your business problem.

DSLs in Action introduces the concepts you'll need to build high-quality domain-specific languages. It explores DSL implementation based on JVM languages like Java, Scala, Clojure, Ruby, and Groovy and contains fully explained code snippets that implement real-world DSL designs. For experienced developers, the book addresses the intricacies of DSL design without the pain of writing parsers by hand.

The world runs on code written in the C programming language, yet most schools begin the curriculum with Python or Java. Effective C bridges this gap and brings C into the modern era—covering the modern C17 Standard as well as potential C2x features. With the aid of this instant classic, you’ll soon be writing professional, portable, and secure C programs to power robust systems and solve real-world problems.

Robert C. Seacord introduces C and the C Standard Library while addressing best practices, common errors, and open debates in the C community. Developed together with other C Standards committee experts, Effective C will teach you how to debug, test, and analyze C programs. You’ll benefit from Seacord’s concise explanations of C language constructs and behaviors, and from his 40 years of coding experience.

You’ll learn:

• How to identify and handle undefined behavior in a C program
• The range and representations of integers and floating-point values
• How dynamic memory allocation works and how to use nonstandard functions
• How to use character encodings and types
• How to perform I/O with terminals and filesystems using C Standard streams and POSIX file descriptors
• How to understand the C compiler’s translation phases and the role of the preprocessor
• How to test, debug, and analyze C programs

Effective C will teach you how to write professional, secure, and portable C code that will stand the test of time and help strengthen the foundation of the computing world.

Since this Jolt-award winning classic was last updated in 2008, the Java programming environment has changed dramatically. Java 7 and Java 8 introduced new features and functions including, forEach() method in Iterable interface, default and static methods in Interfaces, Functional Interfaces and Lambda Expressions, Java Stream API for Bulk Data Operations on Collections, Java Time API, Collection API improvements, Concurrency API improvements, and Java IO improvements.

In this new edition of Effective Java, Bloch explores new design patterns and language idioms that have been introduced since the second edition was released in 2008 shortly after Java SE6, including Lambda, streams, generics and collections, as well as selected Java 9 features.

As in previous editions, each chapter consists of several “items” presented in the form of a short, standalone essay that provides specific advice, insight into Java platform subtleties, and updated code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why.

• Updated techniques and best practices on classic topics, including objects, classes, libraries, methods, and serialization
• How to avoid the traps and pitfalls of commonly misunderstood subtleties of the language
• Focus on the language and its most fundamental libraries: java.lang, java.util, and, to a lesser extent, java.util.concurrent and java.io

Coming to grips with C++11 and C++14 is more than a matter of familiarizing yourself with the features they introduce (e.g., auto type declarations, move semantics, lambda expressions, and concurrency support). The challenge is learning to use those features effectively—so that your software is correct, efficient, maintainable, and portable. That’s where this practical book comes in. It describes how to write truly great software using C++11 and C++14—i.e. using modern C++.

Topics include:

• The pros and cons of braced initialization, noexcept specifications, perfect forwarding, and smart pointer make functions
• The relationships among std::move, std::forward, rvalue references, and universal references
• Techniques for writing clear, correct, effective lambda expressions
• How std::atomic differs from volatile, how each should be used, and how they relate to C++'s concurrency API
• How best practices in "old" C++ programming (i.e., C++98) require revision for software development in modern C++

Effective Modern C++ follows the proven guideline-based, example-driven format of Scott Meyers' earlier books, but covers entirely new material.

"After I learned the C++ basics, I then learned how to use C++ in production code from Meyer's series of Effective C++ books. Effective Modern C++ is the most important how-to book for advice on key guidelines, styles, and idioms to use modern C++ effectively and well. Don't own it yet? Buy this one. Now".
-- Herb Sutter, Chair of ISO C++ Standards Committee and C++ Software Architect at Microsoft

It’s easy to start developing programs with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.

This second edition of Effective Python will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings together 90 Python best practices, tips, and shortcuts, and explains them with realistic code examples so that you can embrace Python with confidence.

Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You’ll understand the best way to accomplish key tasks so you can write code that’s easier to understand, maintain, and improve. In addition to even more advice, this new edition substantially revises all items from the first edition to reflect how best practices have evolved.

Key features include

• 30 new actionable guidelines for all major areas of Python
• Detailed explanations and examples of statements, expressions, and built-in types
• Best practices for writing functions that clarify intention, promote reuse, and avoid bugs
• Better techniques and idioms for using comprehensions and generator functions
• Coverage of how to accurately express behaviors with classes and interfaces
• Guidance on how to avoid pitfalls with metaclasses and dynamic attributes
• More efficient and clear approaches to concurrency and parallelism
• Solutions for optimizing and hardening to maximize performance and quality
• Techniques and built-in modules that aid in debugging and testing
• Tools and best practices for collaborative development

Effective Python will prepare growing programmers to make a big impact using Python.

With technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success.

With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartłomiej Płotka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles.

This book shows you how to:

• Clarify and negotiate efficiency goals
• Optimize efficiency on various levels
• Use common resources like CPU and memory effectively
• Assess efficiency using observability signals like metrics, logging, tracing, and (continuous) profiling via open source projects like Prometheus, Jaeger, and Parca
• Apply tools like go test, pprof, benchstat, and k6 to create reliable micro and macro benchmarks
• Efficiently use Go and its features like slices, generics, goroutines, allocation semantics, garbage collection, and more!

Take your Linux skills to the next level! Whether you're a system administrator, software developer, site reliability engineer, or enthusiastic hobbyist, this practical, hands-on book will help you work faster, smarter, and more efficiently. You'll learn how to create and run complex commands that solve real business problems, process and retrieve information, and automate manual tasks.

You'll also truly understand what happens behind the shell prompt, so no matter which commands you run, you can be more successful in everyday Linux use and more competitive on the job market.

As you build intermediate to advanced command-line skills, you'll learn how to:

• Choose or construct commands that get your work done quickly
• Run commands efficiently and navigate the Linux filesystem with ease
• Build powerful, complex commands out of simpler ones
• Transform text files and query them like databases to achieve business goals
• Control Linux point-and-click features from the command line

Building on the bestselling first edition, EJB 3 in Action, Second Edition tackles EJB 3.2 head-on, through numerous code samples, real-life scenarios, and illustrations. This book is a fast-paced tutorial for Java EE business component development using EJB 3.2, JPA 2 and CDI. Besides covering the basics of EJB 3.2, this book includes in-depth EJB 3.2 internal implementation details, best practices, design patterns, and performance tuning tips.

Thousands of developers have learned to build applications in Elixir by using Saša Jurić’s Elixir in Action. You’ll skip the programming basics or 101 introductions; this book builds on your existing knowledge to get you quickly writing real Elixir code. Along the way, you'll develop an appreciation for, and considerable skill in, functional and concurrent programming.

Inside Elixir in Action, Third Edition you’ll find:

• Updates for Elixir 1.15
• Elixir modules, functions, and type system
• Functional and concurrent programming
• Introduction to distributed system design
• Creating deployable releases

Fully updated to Elixir 1.15, this book contains new coverage of working with application configuration and the latest OTP releases. It teaches you the underlying principles and functional concepts of Elixir, and how each piece fits into the bigger picture of building production-ready systems with Elixir, Erlang, and the OTP framework.

JavaScript lies at the heart of almost every modern web application, from social apps like Twitter to browser-based game frameworks like Phaser and Babylon. Though simple for beginners to pick up and play with, JavaScript is a flexible, complex language that you can use to build full-scale applications.

This much anticipated and thoroughly revised third edition of Eloquent JavaScript dives deep into the JavaScript language to show you how to write beautiful, effective code. It has been updated to reflect the current state of JavaScript and web browsers and includes brand-new material on features like class notation, arrow functions, iterators, async functions, template strings, and block scope. A host of new exercises have also been added to test your skills and keep you on track.

As with previous editions, Haverbeke continues to teach through extensive examples and immerses you in code from the start, while exercises and full-chapter projects give you hands-on experience with writing your own programs. You start by learning the basic structure of the JavaScript language as well as control structures, functions, and data structures to help you write basic programs. Then you’ll learn about error handling and bug fixing, modularity, and asynchronous programming before moving on to web browsers and how JavaScript is used to program them. As you build projects such as an artificial life simulation, a simple programming language, and a paint program, you’ll learn how to:

• Understand the essential elements of programming, including syntax, control, and data
• Organize and clarify your code with object-oriented and functional programming techniques
• Script the browser and make basic web applications
• Use the DOM effectively to interact with browsers
• Harness Node.js to build servers and utilities

Isn’t it time you became fluent in the language of the Web?

Erlang and OTP in Action teaches you the concepts of concurrent programming and the use of Erlang's message-passing model. It walks you through progressively more interesting examples, building systems in Erlang and integrating them with C/C++, Java, and .NET applications, including SOA and web architectures.

Now in its third edition, this bestselling guide to TypeScript takes you through the nuts and bolts of the language. No frills, no fuss—just TypeScript essentials!

TypeScript enhances JavaScript with static typing, while keeping all the JS flexibility you know and love! It’s the perfect choice for any developer looking to improve the predictability and reliability of their code.

Essential TypeScript 5, Third Edition teaches you how to get the most out of TypeScript 5 for a consistent, dependable development experience.

Inside Essential TypeScript 5, Third Edition you’ll learn how to:

• Configure the TypeScript development tools
• Use type annotations
• Create strongly typed functions and classes
• Use generic types
• Use type guards to determine types
• Create and consume type declaration files
• Use TypeScript to create web applications with Angular and React

The book starts you off with a proper understanding of the JavaScript type system that will make using TypeScript so much easier. On that solid foundation, you’ll build your understanding of TypeScript development, following a hands-on learning path all the way to TypeScript’s advanced features.

Event-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more.

You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging.

By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.

What you will learn

• Understand different event-driven patterns and best practices
• Plan and design your software architecture with ease
• Track changes and updates effectively using event sourcing
• Test and deploy your sample software application with ease
• Monitor and improve the performance of your software architecture

Who this book is for

This hands-on book is for intermediate-level software architects, or senior software engineers working with Golang and interested in building asynchronous microservices using event sourcing, CQRS, and DDD. Intermediate-level knowledge of the Go syntax and concurrency features is necessary.

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals.

This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design.

With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.

What you will learn

• Go beyond the basics to explore advanced C++ programming techniques
• Develop proficiency in advanced data structures and algorithm design with C++17 and C++20
• Implement best practices and design patterns to build scalable C++ applications
• Master C++ for machine learning, data science, and data analysis framework design
• Design world-ready applications, incorporating networking and security considerations
• Strengthen your understanding of C++ concurrency, multithreading, and optimizing performance with concurrent data structures

Who this book is for

This book will empower experienced C++ developers to achieve advanced proficiency, enabling them to build professional-grade applications with the latest features of C++17 and C++20. If you’re an aspiring software engineer or computer science student, you’ll be able to master advanced C++ programming techniques through real-world applications that will prepare you for complex projects and real-world challenges.

Extending and Embedding Perl explains how to expand the functionality and usefulness of the Perl programming language and how to use Perl from C programs. It begins simply but also covers complex issues using real code examples from the Perl source. The book discusses how to write interfaces to C libraries (as well as C++ and Fortran libraries). It shows you how to implement Perl callbacks for C libraries, how to pass Perl hashes and arrays between Perl and C, and how to use the Perl Data Language infrastructure to improve the speed of array operations.

Additionally, the book peers under the hood to see how the Perl programming language really works by looking at the interpreter. The make-up of Perl variables is discussed along with details on how a Perl program is parsed and converted to executable code.

F# Deep Dives presents a collection of real-world F# techniques, each written by expert practitioners. Each chapter presents a new use case where you'll read how the author used F# to solve a complex problem more effectively than would have been possible using a traditional approach. You'll not only see how a specific solution works in a specific domain, you'll also learn how F# developers approach problems, what concepts they use to solve them, and how they integrate F# into existing systems and environments.

Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications.

Fast Python is a toolbox of techniques for high performance Python including:

• Writing efficient pure-Python code
• Optimizing the NumPy and pandas libraries
• Rewriting critical code in Cython
• Designing persistent data structures
• Tailoring code for different architectures
• Implementing Python GPU computing

Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy.

Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.

Don't waste time bending Python to fit patterns you've learned in other languages. Python's simplicity lets you become productive quickly, but often this means you aren't using everything the language has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas.

Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python's core language features and libraries and teaches you how to make your code shorter, faster, and more readable.

Complete with major updates throughout, this new edition features five parts that work as five short books within the book:

• Data structures: Sequences, dicts, sets, Unicode, and data classes
• Functions as objects: First-class functions, related design patterns, and type hints in function declarations
• Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, protocols, and more static types
• Control flow: Context managers, generators, coroutines, async/await, and thread/process pools
• Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that replace or simplify metaclasses

Build hyper-fast and hyper-efficient web applications with GraphQL! This practical, comprehensive guide introduces the powerful GRANDStack for developing full stack web applications based in graph data structures.

In Full Stack GraphQL Applications you will learn how to:

• Build backend functionalities for GraphQL applications
• Model a GraphQL API with GraphQL type definitions
• Utilize Neo4j as a backend database
• Handle authentication and authorization with GraphQL
• Implement pagination and rate limiting in a GraphQL API
• Develop a GraphQL service with Apollo Server
• Install Neo4j Database on different platforms
• Create a basic frontend application using React and Apollo Client
• Deploy a full stack GraphQL application to the cloud

The GraphQL query language radically reduces over-fetching or under-fetching of data by constructing precise graph-based data requests. In

Full Stack GraphQL Applications you’ll learn how to build graph-aware web applications that take full advantage of GraphQL’s amazing efficiency. Neo4j’s William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch. He reveals how you can build your web apps with GraphQL, React, Apollo, and Neo4j Database, aka “the GRANDstack,” to get maximum performance out of GraphQL.

No-nonsense techniques, libraries, and best practices you can use to keep your Python applications safe and secure.

In Full Stack Python Security: Cryptography, TLS, and attack resistance, you’ll learn how to:

• Use algorithms to encrypt, hash, and digitally sign data
• Create and install TLS certificates
• Implement authentication, authorization, OAuth 2.0, and form validation in Django
• Protect a web application with Content Security Policy
• Implement Cross Origin Resource Sharing
• Protect against common attacks including clickjacking, denial of service attacks, SQL injection, cross-site scripting, and more

Full Stack Python Security: Cryptography, TLS, and attack resistance teaches you everything you’ll need to build secure Python web applications. As you work through the insightful code snippets and engaging examples, you’ll put security standards, best practices, and more into action. Along the way, you’ll get exposure to important libraries and tools in the Python ecosystem.