Programming Languages

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.

• Use coroutines and tasks alongside async/await syntax to run code concurrently
• Build web APIs and make concurrency web requests with aiohttp
• Run thousands of SQL queries concurrently
• Create a map-reduce job that can process gigabytes of data concurrently
• Use threading with asyncio to mix blocking code with asyncio code

Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages.

Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.

Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works.

Topics include:

• Data Structures and Algorithms
• Strings and Text
• Numbers, Dates, and Times
• Iterators and Generators
• Files and I/O
• Data Encoding and Processing
• Functions
• Classes and Objects
• Metaprogramming
• Modules and Packages
• Network and Web Programming
• Concurrency
• Utility Scripting and System Administration
• Testing, Debugging, and Exceptions
• C Extensions

Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.

You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online.

As you work through the book, you’ll learn how to:

• Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and Django
• Make increasingly complex 2D games that respond to keypresses and mouse clicks
• Generate interactive data visualizations using a variety of datasets
• Build apps that allow users to create accounts and manage their own data, and deploy your apps online
• Troubleshoot coding errors and solve common programming problems

New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django.

If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code!

You will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.

Python How-To includes over 60 detailed answers to questions like:

• How do I join and split strings?
• How do I access dictionary keys, values, and items?
• How do I set and use the return value in function calls?
• How do I process JSON data?
• How do I create lazy attributes to improve performance?
• How do I change variables in a different namespace?

…and much more!

Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Inside you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career. Author Yong Cui’s clear and practical writing is instantly accessible and makes it easy to take advantage of Python’s versatile tools and libraries. Perfect to be read both from cover to cover, and whenever you need help troubleshooting your code.

Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.

Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.

This handy guide will help you:

• Learn how Python represents data and program as objects
• Understand the value and uses of type annotations
• Examine which language features appeared in which recent versions
• Discover how to use modern Python idiomatically
• Learn ways to structure Python projects appropriately
• Understand how to debug Python code

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.

Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.

By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.

What you will learn

• Implement objects in Python by creating classes and defining methods
• Extend class functionality using inheritance
• Use exceptions to handle unusual situations cleanly
• Understand when to use object-oriented features, and more importantly, when not to use them
• Discover several widely used design patterns and how they are implemented in Python
• Uncover the simplicity of unit and integration testing and understand why they are so important
• Learn to statically type check your dynamic code
• Understand concurrency with asyncio and how it speeds up programs

Who this book is for

If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.

Python One-Liners will teach you how to read and write “one-liners”: concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.

The book’s five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills.

You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments.

You’ll also learn how to:

• Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution
• Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics
• Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning
• Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators
• Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting

By the end of the book, you’ll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.

Harness the power of Python as you turn code into tangible creations with Python Playground, a collection of 15 inventive projects that will expand your programming horizons, spark your curiosity, and elevate your coding skills.

Go beyond the basics as you write programs to generate art and music, simulate real-world phenomena, and interact with hardware, all through the use of Python and common libraries such as numpy, matplotlib, and Pillow.

As you work through the book’s projects, you will:

• Craft intricate Spirograph-like designs with parametric equations and the turtle module
• Generate music by synthesizing plucked string sounds
• Transform everyday images into ASCII art, photomosaics, and eye-popping autostereograms
• Design engaging cellular automata and flocking simulations
• Explore the realm of 3D graphics, from basic shape rendering to visualizing MRI scan data
• Build a Raspberry Pi–powered laser show that dances along with music

New to this edition: We’ve expanded your playground with five new projects: you’ll draw fractals, bring Conway’s Game of Life into 3D space, and use a Raspberry Pi and Python to create a musical instrument, an IoT garden monitor, and even a machine learning–driven speech recognition system.

Whether you’re a seasoned professional or just getting started, you’ll find Python Playground to be a great way to learn, experiment with, and master this versatile programming language.

Test applications, packages, and libraries large and small with pytest, Python's most powerful testing framework. pytest helps you write tests quickly and keep them readable and maintainable. In this fully revised edition, explore pytest's superpowers - simple asserts, fixtures, parametrization, markers, and plugins - while creating simple tests and test suites against a small database application. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing. This book shows you how.

pytest is undeniably the best choice for testing Python projects. It's a full-featured, flexible, and extensible testing framework. pytest's fixture model allows you to share test data and setup procedures across multiple layers of tests. The pytest framework gives you powerful features such as assert rewriting, parametrization, markers, plugins, parallel test execution, and clear test failure reporting - with no boilerplate code.

With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn yet powerful tool. Write short, maintainable tests that elegantly express what you're testing. Speed up test times by distributing tests across multiple processors and running tests in parallel. Use Python's builtin assert statements instead of awkward assert helper functions to make your tests more readable. Move setup code out of tests and into fixtures to separate setup failures from test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, and even existing unittest tests.

Write simple, maintainable tests quickly with pytest.

Python Tools for Scientists will introduce you to Python tools you can use in your scientific research, including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries. You’ll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data.

Once you’ve built an optimal programming environment with Anaconda, you’ll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the book’s fast-paced Python primer, you’ll tour a range of scientific tools and libraries like scikit-learn and seaborn that you can use to manipulate and visualize your data, or analyze it with machine learning algorithms.

You’ll also learn how to:

• Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development features
• Use Python’s built-in data types, write custom functions and classes, and document your code
• Represent data with the essential NumPy, Matplotlib, and pandas libraries
• Use Python plotting libraries like Plotly, HoloViews, and Datashader to handle large datasets and create 3D visualizations

Regardless of your scientific field, Python Tools for Scientists will show you how to choose the best tools to meet your research and computational analysis needs.

The only way to master a skill is to practice. In

Python Workout, author

Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own.

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.

You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.

You'll understand how to:

• Visualize: Create plots for data exploration and communication of results
• Transform: Discover variable types and the tools to work with them
• Import: Get data into R and in a form convenient for analysis
• Program: Learn R tools for solving data problems with greater clarity and ease
• Communicate: Integrate prose, code, and results with Quarto

R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments.

In R in Action, Third Edition you will learn how to:

• Set up and install R and RStudio
• Clean, manage, and analyze data with R
• Use the ggplot2 package for graphs and visualizations
• Solve data management problems using R functions
• Fit and interpret regression models
• Test hypotheses and estimate confidence
• Simplify complex multivariate data with principal components and exploratory factor analysis
• Make predictions using time series forecasting
• Create dynamic reports and stunning visualizations
• Techniques for debugging programs and creating packages

R in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package.

At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You’ll learn a variety of coding paradigms, including iterative, object oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics—from statistical analysis to search algorithms, the Turing machine, and more.

Early chapters cover basic Racket concepts like data types, syntax, variables, strings, and formatted output. You’ll learn how to perform math in Racket’s rich numerical environment, and use programming constructs in different problem domains (like coding solutions to the Tower of Hanoi puzzle). Later, you’ll play with plotting, grapple with graphics, and visualize data. Then, you’ll escape the confines of the command line to produce animations, interactive games, and a card trick program that’ll dazzle your friends.

You'll learn how tot:

• Use DrRacket, an interactive development environment (IDE) for writing programs
• Compute classical math problems, like the Fibonacci sequence
• Generate two-dimensional function plots and create drawings using graphics primitives
• Import and export data to and from Racket using ports, then visually analyze it
• Build simple computing devices (pushdown automaton, Turing machine, and so on) that perform tasks
• Leverage Racket’s built-in libraries to develop a command line algebraic calculator

Racket Programming the Fun Way is just like the language itself—an embodiment of everything that makes programming interesting and worthwhile, and that makes you a better programmer.

Functional programming languages are good at expressing complex ideas in a succinct, declarative way. Functional concepts such as "immutability" and "function values" make it easier to reason about code—as well as helping with concurrency. The new F# language, LINQ, certain new features of C#, and numerous .NET libraries now bring the power of functional programming to .NET coders.

This book teaches the ideas and techniques of functional programming applied to real-world problems. You'll see how the functional way of thinking changes the game for .NET developers. Then, you'll tackle common issues using a functional approach. The book will also teach you the basics of the F# language and extend your C# skills into the functional domain. No prior experience with functional programming or F# is required.

With its emphasis on project-based practice, Real World Python will take you from playing with syntax to writing complete programs in no time. You’ll conduct experiments, explore statistical concepts, and solve novel problems that have frustrated geniuses throughout history, like detecting distant exoplanets, as you continue to build your Python skills.

Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem, followed by a mission designed to make you think like a programmer. You’ll direct a Coast Guard search-and-rescue effort, plot and execute a NASA flight to the moon, protect access to a secure lab using facial recognition, and more. Along the way you’ll learn how to:

• Use libraries like matplotlib, NumPy, Bokeh, pandas, Requests, Beautiful Soup, and turtle
• Work with Natural Language Processing and computer vision modules like NLTK and OpenCV
• Write a program to detect and track objects moving across a starfield
• Scrape speeches from the internet and autosummarize them
• Use the Mars Orbiter Laser Altimeter (MOLA) map to select spacecraft landing sites
• Survive a zombie apocalypse with the aid of data-plotting and visualization tools

The book’s programs are beginner-friendly, but as you progress you’ll learn more sophisticated techniques to help you grow your coding capabilities. Once your missions are accomplished, you’ll be ready to solve real-world problems with Python on your own.

Racket is a descendant of Lisp, a programming language renowned for its elegance, power, and challenging learning curve. But while Racket retains the functional goodness of Lisp, it was designed with beginning programmers in mind. Realm of Racket is your introduction to the Racket language.

In Realm of Racket, you'll learn to program by creating increasingly complex games. Your journey begins with the Guess My Number game and coverage of some basic Racket etiquette. Next you'll dig into syntax and semantics, lists, structures, and conditionals, and learn to work with recursion and the GUI as you build the Robot Snake game. After that it's on to lambda and mutant structs (and an Orc Battle), and fancy loops and the Dice of Doom. Finally, you'll explore laziness, AI, distributed games, and the Hungry Henry game.

As you progress through the games, chapter checkpoints and challenges help reinforce what you've learned. Offbeat comics keep things fun along the way.

As you travel through the Racket realm, you'll:

• Master the quirks of Racket's syntax and semantics
• Learn to write concise and elegant functional programs
• Create a graphical user interface using the 2htdp/image library
• Create a server to handle true multiplayer games

Realm of Racket is a lighthearted guide to some serious programming. Read it to see why Racketeers have so much fun!

Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs.

Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT.

Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out.

David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not.

Take the guesswork out using regular expressions to search and manipulate text. With this updated cookbook, you have access to hundreds of proven recipes for today's most popular programming languages - including C#, Java, JavaScript (including XRegExp), Perl, PHP, Python, Ruby, and VB.NET. As useful as regular expressions can be for programmers, their power doesn't come worry-free. This guide will deepen your understanding, no matter how much experience you have with this reliable tool. You'll learn powerful new tricks, steer clear of flavor-specific gotchas, and save valuable time with this huge library of solutions to difficult, real-world problems.

Understand the basics of regular expressions through a concise tutorial Use regular expressions effectively in several programming and scripting languages Learn how to validate and format input Manage words, lines, special characters, and numerical values Find solutions for using regular expressions in URLs, paths, markup, and data exchange Discover the nuances of more advanced regex features Experience how regular expressions' APIs, syntax, and behavior differ from language to language Write better regular expressions for custom needs

There may be no better way to learn how to program than by dissecting real, representative examples written in your language of choice. Ruby by Example analyzes a series of Ruby scripts, examining how the code works, explaining the concepts it illustrates, and showing how to modify it to suit your needs. Baird's examples demonstrate key features of the language (such as inheritance, encapsulation, higher-order functions, and recursion), while simultaneously solving difficult problems (such as validating XML, creating a bilingual program, and creating command-line interfaces). Each chapter builds upon the previous, and each key concept is highlighted in the margin to make it easier for you to navigate the book.

You'll learn how to:

• Use the interactive Ruby shell (irb) to learn key features of the language
• Extend Ruby using RubyGems, the Ruby package manager
• Create numerical utilities, as well as utilities that process and analyze HTML/XML
• Implement purely functional and metaprogramming techniques to save time and effort
• Optimize, profile, and test your code to make sure that it not only does its job, but does it well
• Create web applications using Rails

Ruby is the fastest growing programming language today, and for good reason: Its elegant syntax and readable code make for prolific and happy programmers. But it can be difficult to understand and implement without a little help. Ruby by Example shows you how to take advantage of Ruby as you explore Ruby's fundamental concepts in action.

Ruby is a powerful programming language with a focus on simplicity, but beneath its elegant syntax it performs countless unseen tasks.

Ruby Under a Microscope gives you a hands-on look at Ruby’s core, using extensive diagrams and thorough explanations to show you how Ruby is implemented (no C skills required). Author Pat Shaughnessy takes a scientific approach, laying out a series of experiments with Ruby code to take you behind the scenes of how programming languages work. You’ll even find information on JRuby and Rubinius (two alternative implementations of Ruby), as well as in-depth explorations of Ruby’s garbage collection algorithm.

• How a few computer science concepts underpin Ruby’s complex implementation
• How Ruby executes your code using a virtual machine
• How classes and modules are the same inside Ruby
• How Ruby employs algorithms originally developed for Lisp
• How Ruby uses grammar rules to parse and understand your code
• How your Ruby code is translated into a different language by a compiler

No programming language needs to be a black box. Whether you’re already intrigued by language implementation or just want to dig deeper into Ruby, you’ll find Ruby Under a Microscope a fascinating way to become a better programmer.

Covers Ruby 2.x, 1.9 and 1.8

Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques. You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. Filled to the brim with real-life use cases and scenarios, you'll go beyond the Rust syntax and see what Rust has to offer in real-world use cases.

Deliver fast, reliable, and maintainable applications by building backend servers, services, and frontends all in nothing but Rust.

In Rust Servers, Services, and Apps, you’ll learn:

• Developing database-backed web services in Rust
• Building and securing RESTful APIs
• Writing server-side web applications in Rust
• Measuring and benchmarking web service performance
• Packaging and deploying web services
• Full-stack Rust applications

The blazingly fast, safe, and efficient Rust language has been voted “most loved” for multiple consecutive years on the StackOverflow survey.

Rust Server, Services, and Apps shows you why! Inside, you’ll build web servers, RESTful services, server-rendered apps, and client frontends just using Rust. You’ll learn to write code with small and predictable resource footprints, and build high-performing applications with unmatched safety and reliability.

Create bulletproof, high-performance web apps and servers with Rust.

In Rust Web Development you will learn:

• Handling the borrow checker in an asynchronous environment
• Learning the ingredients of an asynchronous Rust stack
• Creating web APIs and using JSON in Rust
• Graceful error handling
• Testing, tracing, logging, and debugging
• Deploying Rust applications
• Efficient database access

Rust Web Development is a pragmatic, hands-on guide to creating server-based web applications with Rust. If you’ve designed web servers using Java, NodeJS, or PHP, you’ll instantly fall in love with the performance and development experience Rust delivers. Hit the ground running! Author Bastian Gruber’s sage advice makes it easy to start tackling complex problems with Rust. You’ll learn how to work efficiently using pure Rust, along with important Rust libraries such as tokio for async runtimes, warp for web servers and APIs, and reqwest to run external HTTP requests.

Sass and Compass in Action is the definitive guide to stylesheet authoring using these two revolutionary tools. Written for both designers and developers, this book demonstrates the power of both Sass and Compass through a series of examples that address common pain points associated with traditional stylesheet authoring. The book begins with simple topics such as CSS resets and moves on to more involved topics such as grid frameworks and CSS3 vendor implementation differences.

Scala 3 is concise, consistent, flexible, robust, and efficient, but there's a lot to learn and navigating features and improvements can be challenging. Scala for the Impatient, Third Edition, is a complete yet concise guide that reflects the major enhancements of Scala 3, from improved syntax and revamped type system to powerful contextual abstractions.

This indispensable tutorial offers a faster, easier pathway for learning today's Scala. Horstmann--author of the programming classic, Core Java--covers everything working developers need to know, focusing on hands-on solutions, not academic theory. Given the size and scope of Scala 3, there's plenty to cover but it's presented in small chunks organized for quick access and easy understanding, with plenty of practical insights and focused sample code.

• Get started quickly with Scala 3 interpreter, syntax, tools, and current usage
• Master core language features: functions, arrays, maps, tuples, packages, imports, exception handling, and more
• Design and build better object-oriented code with Scala 3
• Use Scala for real-world programming tasks: working with files, regular expressions, and processes
• Work with higher-order functions and the powerful Scala collections library
• Create concurrent programs with Scala futures
• Understand the Scala type system, including revamped enums, intersection and union types, and enhanced type inference
• Use contextual abstractions to easily extend class hierarchies, enrich existing classes, perform automatic conversions, and elegantly hide tedious details
• Apply advanced "power tools" such as annotations and given values
• Discover how to "program with types," analyzing and generating types at compile time
• Get a taste of what's now possible with Scala macros

If you're a Java, Python, C++, or C# programmer who's new to Scala or functional programming--or even if you've already used earlier versions of Scala--this guide will help you write code that's more robust, more efficient, and more secure.

Scala in Action is a comprehensive tutorial that introduces Scala through clear explanations and numerous hands-on examples. Because Scala is a rich and deep language, it can be daunting to absorb all the new concepts at once. This book takes a "how-to" approach, explaining language concepts as you explore familiar programming challenges that you face in your day-to-day work.

Scala in Depth is a unique new book designed to help you integrate Scala effectively into your development process. By presenting the emerging best practices and designs from the Scala community, it guides you through dozens of powerful techniques example by example.

More than ever, the web is a universal platform for all types of applications, and JavaScript is the language of the web. If you're serious about web development, it's not enough to be a decent JavaScript coder. You need to be ninja-stealthy, efficient, and ready for anything. This book shows you how.

Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You’ll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time.

As you make your way through the book’s extensive tutorials, you’ll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You’ll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode.

You’ll also learn how to:

• Make and use effective decorators and methods, including abstract, static, and class methods
• Employ Python for functional programming using generators, pure functions, and functional functions
• Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs
• Apply dynamic performance analysis to identify bottlenecks in your code
• Work with relational databases and effectively manage and stream data with PostgreSQL

If you’ve been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!

"Serious Python contains a considerable amount of judicious battle-tested advice from an experienced developer—as well as some insightful gems from the guest contributors—making the overall effort a welcome addition to the limited number of books aimed at more advanced Python programmers." —Michael J. Ross, web developer and former Slashdot contributor.

Build and upgrade an automated software delivery pipeline that supports containerization, integration testing, semantic versioning, automated deployment, and more.

In Shipping Go you will learn how to:

• Develop better software based on feedback from customers
• Create a development pipeline that turns feedback into features
• Reduce bugs with pipeline automation that validates code before it is deployed
• Establish continuous testing for exceptional code quality
• Serverless, container-based, and server-based deployments
• Scale your deployment in a cost-effective way
• Deliver a culture of continuous improvement

Shipping Go is a hands-on guide to shipping Go-based software. Author Joel Holmes shows you the easy way to set up development pipelines, fully illustrated with practical examples in the powerful Go language. You’ll put continuous delivery and continuous integration into action, and discover instantly useful guidance on automating your team’s build and reacting with agility to customer demands. Your new pipelines will ferry your projects through production and deployment, and also improve your testing, code quality, and production applications.

With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.

You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.

• Learn the key steps for preparing your data for analysis
• Perform time series analysis using SQL's date and time manipulations
• Use cohort analysis to investigate how groups change over time
• Use SQL's powerful functions and operators for text analysis
• Detect outliers in your data and replace them with alternate values
• Establish causality using experiment analysis, also known as A/B testing

If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.

In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.

• Quickly look up how to perform specific tasks using SQL
• Apply the book's syntax examples to your own queries
• Update SQL queries to work in five different database management systems
• NEW: Connect Python and R to a relational database
• NEW: Look up frequently asked SQL questions in the "How Do I?" chapter

SQL Queries for Mere Mortals has earned worldwide praise as the clearest, simplest tutorial on writing effective queries with the latest SQL standards and database applications. Now, author John L. Viescas has updated this hands-on classic with even more advanced and valuable techniques.

Step by step, Viescas guides you through creating reliable queries for virtually any current SQL-based database. He demystifies all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data.

Building on the basics, Viescas shows how to solve challenging real-world problems, including applying multiple complex conditions on one table, performing sophisticated logical evaluations, and using unlinked tables to think “outside the box.”

In two brand-new chapters, you learn how to perform complex calculations on groups for sophisticated reporting, and how to partition data into windows for more flexible aggregation.

Practice all you want with downloadable sample databases for today’s versions of Microsoft Office Access, Microsoft SQL Server, and the open source MySQL and PostgreSQL databases. Whether you’re a DBA, developer, user, or student, there’s no better way to master SQL.

Coverage includes:

• Getting started: understanding what relational databases are, and ensuring that your database structures are sound
• SQL basics: using SELECT statements, creating expressions, sorting information with ORDER BY, and filtering data using WHERE
• Summarizing and grouping data with GROUP BY and HAVING clauses
• Drawing data from multiple tables: using INNER JOIN, OUTER JOIN, and UNION operators, and working with subqueries
• Modifying data sets with UPDATE, INSERT, and DELETE statements
• Advanced queries: complex NOT and AND, conditions, if-then-else using CASE, unlinked tables, driver tables, and more
• NEW! Using advanced GROUP BY keywords to create subtotals, roll-ups, and more
• NEW! Applying window functions to answer more sophisticated questions, and gain deeper insight into your data

Software-Independent Approach!

If you work with database software such as Access, MS SQL Server, Oracle, DB2, MySQL, Ingres, or any other SQL-based program, this book could save you hours of time and aggravation—before you write a single query!

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language.

Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions.

In Statistics Slam Dunk you’ll develop a toolbox of R programming skills including:

• Reading and writing data
• Installing and loading packages
• Transforming, tidying, and wrangling data
• Applying best-in-class exploratory data analysis techniques
• Creating compelling visualizations
• Developing supervised and unsupervised machine learning algorithms
• Executing hypothesis tests, including t-tests and chi-square tests for independence
• Computing expected values, Gini coefficients,  z-scores, and other measures

If you’re looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner’s guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you’ll get no clean pre-packaged data sets in

Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team.

Strengthen your overall coding skills by exploring the wonderful, wild, and often weird world of esoteric languages (esolangs). Strange Code starts with a dive into the underlying history of programming, covering the early computer-science concepts, like Turing machines and Turing completeness, that led to the languages we use today. It then explores the realm of “atypical” programming languages, introducing you to the out-of-the-box thinking that comes from these unusual approaches to coding.

Later chapters address the even more unusual esolangs, nearly all of which are like nothing you’ve ever seen. Finally, author Ron Kneusel helps you develop and use two entirely new programming languages. You may not apply these languages in your day job, but this one-of-a-kind book will motivate you to think differently about what it means to express thought through code, while discovering the far-flung boundaries of programming.

You'll learn:

• How to program with pictures using Piet
• How to write two-dimensional programs in Befunge
• How to implement machine-learning algorithms using the text pattern matching language SNOBOL
• How to decipher Brainfuck code like [->-[>+>>]>[[-]+>+>>]How to design and create two original programming languages

Learning to think in these languages will make you a better, more confident programmer.

Now updated for Swift 5! Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if effectively used, can help you create even better apps with clean, crystal-clear code and awesome features. Swift in Depth is designed to help you unlock these tools and quirks and get developing next-gen apps, web services, and more!

SwiftUI is the modern way to build user interfaces for iOS, macOS, and watchOS. It provides a declarative and intuitive way to create beautiful and interactive user interfaces. The new edition of this comprehensive cookbook includes a fully updated repository for SwiftUI 5, iOS 17, Xcode 15, and Swift 5.9. With this arsenal, it teaches you everything you need to know to build beautiful and interactive user interfaces with SwiftUI 5, from the basics to advanced topics like custom modifiers, animations, and state management.

In this new edition, you will dive into the world of creating powerful data visualizations with a new chapter on Swift Charts and how to seamlessly integrate charts into your SwiftUI apps. Further, you will be able to unleash your creativity with advanced controls, including multi-column tables and two-dimensional layouts. You can explore new modifiers for text, images, and shapes that give you more control over the appearance of your views.

You will learn how to develop apps for multiple platforms, including iOS, macOS, watchOS, and more.

With expert insights, real-world examples, and a recipe-based approach, you’ll be equipped to build remarkable SwiftUI apps that stand out in today’s competitive market.

What you will learn

• Create stunning, user-friendly apps for iOS 17, macOS 14, and watchOS 10 with SwiftUI 5
• Use the advanced preview capabilities of Xcode 15
• Use async/await to write concurrent and responsive code
• Create powerful data visualizations with Swift Charts
• Enhance user engagement with modern animations and transitions
• Implement user authentication using Firebase and Sign in with Apple
• Learn about advanced topics like custom modifiers, animations, and state management
• Build multi-platform apps with SwiftUI

Who this book is for

This book is for mobile developers who want to learn SwiftUI as well as experienced iOS developers transitioning from UIKit to SwiftUI. The book assumes knowledge of the Swift programming language. Knowledge of object-oriented design and data structures will be useful but not necessary. You'll also find this book to be a helpful resource if you're looking for reference material regarding the implementation of various features in SwiftUI.

A simple, straightforward, and hands-on roadmap to the world of computer programming with Python

Teach Yourself VISUALLY: Python is your personal guide to getting you started in programming. As one of the world's most popular—and most accessible—coding languages, Python is your gateway into the wide and wonderful world of computer science. This hands-on guide walks you through Python step by clearly illustrated step, from writing your very first Python code in a terminal window or the VS Code app through to creating your own lists, dictionaries, and custom classes.

In the book, you’ll learn to:

• Install Python and the tools you need to work with it on Windows, macOS, and Linux
• Work with files and folders, manipulate text, and create powerful functions that do exactly what you want
• Write clean code that makes decisions effectively, repeats actions as needed, and handles any errors that occur

A must-have resource for aspiring programmers starting from the very beginning, Teach Yourself VISUALLY: Python is also an indispensable handbook for programmers making a transition from another language.

Automated testing will help you write high-quality software in less time, with more confidence, fewer bugs, and without constant manual oversight.

Testing JavaScript Applications is a guide to building a comprehensive and reliable JS application testing suite, covering both how to write tests and how JS testing tools work under the hood. You’ll learn from Lucas de Costa, a core contributor to popular JS testing libraries, as he shares a quality mindset for making testing decisions that deliver a real contribution to your business. You’ll benefit from informative explanations and diagrams, easily-transferable code samples, and useful tips on using the latest and most consolidated libraries and frameworks of the JavaScript ecosystem.

Randall Hyde's The Art of Assembly Language has long been the go-to guide for learning assembly language. In this long-awaited follow-up, Hyde presents a 64-bit rewrite of his seminal text. It not only covers the instruction set for today’s x86-64 class of processors in-depth (using MASM), but also leads you through the maze of assembly language programming and machine organization by showing you how to write code that mimics operations in high-level languages.

Beginning with a “quick-start” chapter that gets you writing basic ASM applications as rapidly as possible, Hyde covers the fundamentals of machine organization, computer data representation and operations, and memory access. He’ll teach you assembly language programming, starting with basic data types and arithmetic, progressing through control structures and arithmetic to advanced topics like table lookups and string manipulation. In addition to the standard integer instruction set, the book covers the x87 FPU, single-instruction, multiple-data (SIMD) instructions, and MASM’s very powerful macro facilities. Throughout, you’ll benefit from a wide variety of ready-to-use library routines that simplify the programming process.

You’ll learn how to:

• Write standalone programs or link MASM programs with C/C++ code for calling routines in the C Standard Library
• Organize variable declarations to speed up access to data, and how to manipulate data on the x86-64 stack
• Implement HLL data structures and control structures in assembly language
• Convert various numeric formats, like integer to decimal string, floating-point to string, and hexadecimal string to integer
• Write parallel algorithms using SSE/AVX (SIMD) instructions
• Use macros to reduce the effort needed to write assembly language code

The Art of 64-bit Assembly, Volume 1 builds on the timeless material of its iconic predecessor, offering a comprehensive masterclass on writing complete applications in low-level programming languages.

• Download the resource files used in the book

If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches.

These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online.

You’ll create:

• Hangman, Blackjack, and other games to play against your friends or the computer
• Simulations of a forest fire, a million dice rolls, and a Japanese abacus
• Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver
• A first-person 3D maze game
• Encryption programs that use ciphers like ROT13 and Vigenère to conceal text

If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!

A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app by building a twitter analysis dashboard that maps the number of likes certain accounts gained over time. You’ll build up skills through three more sophisticated projects. The first is a global analysis app that compares country data in three areas: the percentage of a population using the internet, percentage of parliament seats held by women, and CO2 emissions. You’ll then build an investment portfolio dashboard, and an app that allows you to visualize and explore machine learning algorithms.

In this book you will:

• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media data
• Use Git to download and build on existing apps written by the pros
• Visualize machine learning models in your apps
• Create and manipulate statistical and scientific charts and maps using Plotly

Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

The type system is the foundation upon which all C# programs are built. The C# Type System will show you how to define and implement value types effectively, and write more performant and robust code. Real-world code examples and test cases throughout will elevate your programming with C# and show you how best to implement the principles you’re learning.

Among the core aspects of working with the type system, you’ll learn:

• How user-defined value types, and even simple types, can enhance your code’s readability
• How reference and value types differ within C#
• How method parameters and arguments relate to reference and value types
• How differences in copy semantics between value and reference types affect a program’s behavior
• How the different methods of value comparisons for equality work behind the scenes
• The unique characteristics and roles of various types in an application, especially how value types go beyond mere data storage
• Why inheritance isn’t optimal for value types
• How to measure and evaluate the performance of an app’s use of different data types

Whether you’re a novice or seasoned programmer, you’ll find The C# Type System indispensable in your efforts to turn good code into great.

The new C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, has reorganized, extended, and completely rewritten his definitive reference and tutorial for programmers who want to use C++ most effectively.

The C++ Programming Language, Fourth Edition, delivers meticulous, richly explained, and integrated coverage of the entire language—its facilities, abstraction mechanisms, standard libraries, and key design techniques. Throughout, Stroustrup presents concise, “pure C++11” examples, which have been carefully crafted to clarify both usage and program design. To promote deeper understanding, the author provides extensive cross-references, both within the book and to the ISO standard.

Topics addressed in this comprehensive book include

• Basic facilities: type, object, scope, storage, computation fundamentals, and more
• Modularity, as supported by namespaces, source files, and exception handling
• C++ abstraction, including classes, class hierarchies, and templates in support of a synthesis of traditional programming, object-oriented programming, and generic programming
• Standard Library: containers, algorithms, iterators, utilities, strings, stream I/O, locales, numerics, and more
• The C++ basic memory model, in depth

Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer.

This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability.

By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.

What you will learn

• Solve the most popular Java coding problems efficiently
• Tackle challenging algorithms that will help you develop robust and fast logic
• Practice answering commonly asked non-technical interview questions that can make the difference between a pass and a fail
• Get an overall picture of prospective employers' expectations from a Java developer
• Solve various concurrent programming, functional programming, and unit testing problems

Who this book is for

This book is for students, programmers, and employees who want to be invited to and pass interviews given by top companies. The book assumes high school mathematics and basic programming knowledge.

The DSC Book teaches you everything you need to know to implement DSC today! You’ll learn DSC’s basic architecture, how to write configurations, and how to author your own DSC resources.

The Go Programming Language is the authoritative resource for any programmer who wants to learn Go. It shows how to write clear and idiomatic Go to solve real-world problems. The book does not assume prior knowledge of Go nor experience with any specific language, so you'll find it accessible whether you're most comfortable with JavaScript, Ruby, Python, Java, or C++.

• The first chapter is a tutorial on the basic concepts of Go, introduced through programs for file I/O and text processing, simple graphics, and web clients and servers.
• Early chapters cover the structural elements of Go programs: syntax, control flow, data types, and the organization of a program into packages, files, and functions. The examples illustrate many packages from the standard library and show how to create new ones of your own. Later chapters explain the package mechanism in more detail, and how to build, test, and maintain projects using the go tool.
• The chapters on methods and interfaces introduce Go's unconventional approach to object-oriented programming, in which methods can be declared on any type and interfaces are implicitly satisfied. They explain the key principles of encapsulation, composition, and substitutability using realistic examples.
• Two chapters on concurrency present in-depth approaches to this increasingly important topic. The first, which covers the basic mechanisms of goroutines and channels, illustrates the style known as communicating sequential processes for which Go is renowned. The second covers more traditional aspects of concurrency with shared variables. These chapters provide a solid foundation for programmers encountering concurrency for the first time.
• The final two chapters explore lower-level features of Go. One covers the art of metaprogramming using reflection. The other shows how to use the unsafe package to step outside the type system for special situations, and how to use the cgo tool to create Go bindings for C libraries.

Java's much-awaited "Project Jigsaw" is finally here! Java 11 includes a built-in modularity framework, and The Java Module System is your guide to discovering it. In this new book, you'll learn how the module system improves reliability and maintainability, and how it can be used to reduce tight coupling of system components.

The Joy of Clojure, Second Edition is a deep look at the Clojure language. Fully updated for Clojure 1.6, this new edition goes beyond just syntax to show you the "why" of Clojure and how to write fluent Clojure code. You'll learn functional and declarative approaches to programming and will master the techniques that make Clojure so elegant and efficient.

Whether building interactive browser-based applications or creating server-side applications in Node, JavaScript is the most widely used language for web programming. With new features, language improvements, paradigms, and potential use cases appearing regularly, there’s never been a more exciting time to be a JavaScript developer. In

The Joy of JavaScript, author and JavaScript expert Luis Atencio teaches you key design concepts that lead to clean, lean, modular, and easy-to-maintain code.

Maintaining poor legacy code, interpreting cryptic comments, and writing the same boilerplate over and over can suck the joy out of your life as a Java developer. Fear not! There's hope! Kotlin is an elegant JVM language with modern features and easy integration with Java. The Joy of Kotlin teaches you practical techniques to improve abstraction and design, to write comprehensible code, and to build maintainable bug-free applications.

The Linux Command Line takes you from your very first terminal keystrokes to writing full programs in Bash, the most popular Linux shell (or command line). Along the way you'll learn the timeless skills handed down by generations of experienced, mouse-shunning gurus: file navigation, environment configuration, command chaining, pattern matching with regular expressions, and more.

In addition to that practical knowledge, author William Shotts reveals the philosophy behind these tools and the rich heritage that your desktop Linux machine has inherited from Unix supercomputers of yore.

As you make your way through the book's short, easily-digestible chapters, you'll learn how to:

• Create and delete files, directories, and symlinks
• Administer your system, including networking, package installation, and process management
• Use standard input and output, redirection, and pipelines
• Edit files with Vi, the world's most popular text editor
• Write shell scripts to automate common or boring tasks
• Slice and dice text files with cut, paste, grep, patch, and sed

Once you overcome your initial "shell shock," you'll find that the command line is a natural and expressive way to communicate with your computer. Just don't be surprised if your mouse starts to gather dust.

"For those looking to master the Linux command line and get an essential understand of the core Linux command line tools, this book is a highly effective and useful guide." —Ben Rothke, RSA Conference

The Little Elixir & OTP Guidebook gets you started programming applications with Elixir and OTP. You begin with a quick overview of the Elixir language syntax, along with just enough functional programming to use it effectively. Then, you'll dive straight into OTP and learn how it helps you build scalable, fault-tolerant and distributed applications through several fun examples.

This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.

Recursion has an intimidating reputation: it’s considered to be an advanced computer science topic frequently brought up in coding interviews. But there’s nothing magical about recursion.

The Recursive Book of Recursion uses Python and JavaScript examples to teach the basics of recursion, exposing the ways that it’s often poorly taught and clarifying the fundamental principles of all recursive algorithms. You’ll learn when to use recursive functions (and, most importantly, when not to use them), how to implement the classic recursive algorithms often brought up in job interviews, and how recursive techniques can help solve countless problems involving tree traversal, combinatorics, and other tricky topics.   This project-based guide contains complete, runnable programs to help you learn:

• How recursive functions make use of the call stack, a critical data structure almost never discussed in lessons on recursion
• How the head-tail and “leap of faith” techniques can simplify writing recursive functions
• How to use recursion to write custom search scripts for your filesystem, draw fractal art, create mazes, and more
• How optimization and memoization make recursive algorithms more efficient

Al Sweigart has built a career explaining programming concepts in a fun, approachable manner. If you’ve shied away from learning recursion but want to add this technique to your programming toolkit, or if you’re racing to prepare for your next job interview, this book is for you.

The Rust Programming Language, 2nd Edition is the official guide to Rust 2021: an open source systems programming language that will help you write faster, more reliable software. Rust provides control of low-level details along with high-level ergonomics, allowing you to improve productivity and eliminate the hassle traditionally associated with low-level languages.

Klabnik and Nichols, alumni of the Rust Core Team, share their knowledge to help you get the most out of Rust’s features so that you can create robust and scalable programs. You’ll begin with basics like creating functions, choosing data types, and binding variables, then move on to more advanced concepts, such as:

• Ownership and borrowing, lifetimes, generics, traits, and trait objects to communicate your program’s constraints to the compiler
• Smart pointers and multithreading, and how ownership interacts with them to enable fearless concurrency
• How to use Cargo, Rust’s built-in package manager, to build, document your code, and manage dependencies
• The best ways to test, handle errors, refactor, and take advantage of expressive pattern matching

In addition to the countless code examples, you’ll find three chapters dedicated to building complete projects: a number-guessing game, a Rust implementation of a command line tool, and a multithreaded server.

Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more.

In The Well-Grounded Java Developer, Second Edition you will learn:

• The new Java module system and why you should use it
• Bytecode for the JVM, including operations and classloading
• Performance tuning the JVM
• Working with Java’s built-in concurrency and expanded options
• Programming in Kotlin and Clojure on the JVM
• Maximizing the benefits from your build/CI tooling with Maven and Gradle
• Running the JVM in containers
• Planning for future JVM releases

The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history. Each concept is illustrated with hands-on examples, including a fully modularized application/library and creating your own multithreaded application.

If you’re new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer.

Inside The Well-Grounded Python Developer you will discover:

• Building modules of functionality
• Creating a well-constructed web server application
• Integrating database access into your Python applications
• Refactor and decoupling systems to help scale them
• How to think about the big picture of your application

The Well-Grounded Python Developer builds on Python skills you’ve learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you’ll discover how all the bits of Python link up as you build and modify a typical web server application—the kind of web app that’s in high demand by modern businesses.

The Well-Grounded Rubyist, Third Editionis a beautifully written tutorial that begins with your first Ruby program and takes you all the way to sophisticated topics like reflection, threading, and recursion. Ruby masters David A. Black and Joe Leo distill their years of knowledge for you, concentrating on the language and its uses so you can use Ruby in any way you choose. Updated for Ruby 2.5.

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.

• Start with the basics, including language syntax and semantics
• Get a clear definition of each programming concept
• Learn about values, variables, statements, functions, and data structures in a logical progression
• Discover how to work with files and databases
• Understand objects, methods, and object-oriented programming
• Use debugging techniques to fix syntax, runtime, and semantic errors
• Explore interface design, data structures, and GUI-based programs through case studies

Third-Party JavaScript guides web developers through the complete development of a full-featured third-party JavaScript application. You'll learn dozens of techniques for developing widgets that collect data for analytics, provide helpful overlays and dialogs, or implement features like chat or commenting. The concepts and examples throughout this book represent the best practices for this emerging field, based on thousands of real-world dev hours and results from millions of users.

Learn the big skills of C programming by creating bite-size projects! Work your way through these 15 fun and interesting tiny challenges to master essential C techniques you’ll use in full-size applications.

In Tiny C Projects you will learn how to:

• Create libraries of functions for handy use and re-use
• Process input through an I/O filter to generate customized output
• Use recursion to explore a directory tree and find duplicate files
• Develop AI for playing simple games
• Explore programming capabilities beyond the standard C library functions
• Evaluate and grow the potential of your programs
• Improve code to better serve users

Tiny C Projects is an engaging collection of 15 small programming challenges! This fun read develops your C abilities with lighthearted games like tic-tac-toe, utilities like a useful calendar, and thought-provoking exercises like encoding and cyphers. Jokes and lighthearted humor make even complex ideas fun to learn. Each project is small enough to complete in a weekend, and encourages you to evolve your code, add new functions, and explore the full capabilities of C.

CSS is a must-know language for all web developers. In this practical book, you’ll explore numerous techniques to improve the way you write CSS as you build 12 tiny projects.

In Tiny CSS Projects you’ll build twelve exciting and useful web projects including:

• A loading screen created by styling SVG graphics
• A responsive newspaper layout with multiple columns
• Animating social media buttons with pseudo-elements
• Designing layouts using CSS grids
• Summary cards that utilize hover interactions
• Styling forms to make them more appealing to your users

The projects may be tiny, but the CSS skills you’ll learn are huge!

Tiny CSS Projects teaches you how to make beautiful websites and applications by guiding you through a dozen fun coding challenges. You’ll learn important skills through hands-on practice as you tinker with your own code and make real creative decisions about the projects you’re building. You’ll rapidly master the basics and then press on into CSS’s exciting layout features including grid and flexbox, animations, transitions, and media queries.

A long journey is really a lot of little steps. The same is true when you're learning Python, so you may as well have some fun along the way! Written in a lighthearted style with entertaining exercises that build powerful skills,

Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists and strings right through to regular expressions and randomness. Along the way you'll also discover how testing can make you a better programmer in any language.

Effectively reading and understanding existing code is a developer’s superpower. In this book, you’ll master techniques for code profiling, advanced debugging, and log evaluation to find and fix bugs and performance problems.

In Troubleshooting Java: Read, debug, and optimize JVM applications you will learn how to:

• Determine what code does the first time you see it
• Expose code logic problems
• Evaluate heap dumps to find memory leaks
• Monitor CPU consumption to optimize execution
• Use thread dumps to find and solve deadlocks
• Easily follow a service-oriented or microservices system
• Properly use logging to better understand Java app execution
• Use Java debuggers efficiently

Searching for bugs, detangling messy legacy code, or evaluating your codebase for new features sucks up much of a developer's time.

Troubleshooting Java: Read, debug, and optimize JVM applications teaches code investigation techniques that will help you efficiently understand how Java apps work, how to optimize them, and how to fix the bugs that break them. You’ll go from the basics of debugging to advanced methods for locating problems in microservices architectures, and save yourself hours—or even days—of time. Each new technique is explained with lively illustrations and engaging real-world examples.

Type-Driven Development with Idris, written by the creator of Idris, teaches you how to improve the performance and accuracy of your programs by taking advantage of a state-of-the-art type system. This book teaches you with Idris, a language designed to support type-driven development.

TypeScript is one of the most important tools for JavaScript developers. Still, even experienced developers wonder why the TypeScript compiler is throwing squiggly red lines at them. Enter TypeScript Cookbook . With this practical guide, author Stefan Baumgartner provides senior engineers with solutions for everyday TypeScript problems.

If you're conversant with TypeScript as well as JavaScript basics, this book provides actionable recipes to help you tackle a wide array of issues. From setting up complex project structures to developing advanced helper types, each self-contained recipe guides you through the problem and discusses why and how a solution works.

The ideal companion for your ongoing TypeScript journey, this cookbook helps you:

• Dive into the inner workings of the TypeScript type system
• Integrate TypeScript into a variety of projects
• Craft advanced type definitions that allow for flexible scenarios
• Create useful helper types that function across projects
• Ensure readability along with type safety
• Create robust APIs for helper types and their coworkers
• Strongly type function signatures that rely on string types
• Work around limitations of the standard library
• Integrate TypeScript into advanced React projects

Learn Professional TypeScript. I've been looking at the issues that turn up commonly when people start using TypeScript. This is based on the lessons from Stack Overflow / DefinitelyTyped and general engagement with the TypeScript community.

TypeScript is JavaScript with an important upgrade! By adding a strong type system to JavaScript, TypeScript can help you eliminate entire categories of runtime errors. In

TypeScript Quickly, you’ll learn to build rock-solid apps through practical examples and hands-on projects under the expert instruction of experienced web developers Yakov Fain and Anton Moiseev.

ECMAScript 6 represents the biggest update to the core of JavaScript in the history of the language. In Understanding ECMAScript 6, expert developer Nicholas C. Zakas provides a complete guide to the object types, syntax, and other exciting changes that ECMAScript 6 brings to JavaScript. Every chapter is packed with example code that works in any JavaScript environment so you’ll be able to see new features in action. You’ll learn:

• How ECMAScript 6 class syntax relates to more familiar JavaScript concepts
• What makes iterators and generators useful
• How arrow functions differ from regular functions
• Ways to store data with sets, maps, and more
• The power of inheritance
• How to improve asynchronous programming with promises
• How modules change the way you organize code

Whether you’re a web developer or a Node.js developer, you’ll find Understanding ECMAScript 6 indispensable on your journey from ECMAScript 5 to ECMAScript 6.

There's a wealth of data online, but sorting and gathering it by hand can be tedious and time consuming. Rather than click through page after endless page, why not let bots do the work for you?

Webbots, Spiders, and Screen Scrapers will show you how to create simple programs with PHP/CURL to mine, parse, and archive online data to help you make informed decisions. Michael Schrenk, a highly regarded webbot developer, teaches you how to develop fault-tolerant designs, how best to launch and schedule the work of your bots, and how to create Internet agents that:

• Send email or SMS notifications to alert you to new information quickly
• Search different data sources and combine the results on one page, making the data easier to interpret and analyze
• Automate purchases, auction bids, and other online activities to save time

Sample projects for automating tasks like price monitoring and news aggregation will show you how to put the concepts you learn into practice.

This second edition of Webbots, Spiders, and Screen Scrapers includes tricks for dealing with sites that are resistant to crawling and scraping, writing stealthy webbots that mimic human search behavior, and using regular expressions to harvest specific data. As you discover the possibilities of web scraping, you'll see how webbots can save you precious time and give you much greater control over the data available on the Web.

Are you spending valuable time on work a well-trained monkey could do? If so, Wicked Cool Ruby Scripts will teach you how to automate repetitive tasks using Ruby, one of the most powerful and easy-to-use programming languages around.

Wicked Cool Ruby Scripts provides 58 scripts that offer quick solutions to problems like system administration, manipulating images, and managing a website. After getting your feet wet creating simple scripts to automate tasks like file compression and decompression, you’ll learn how to create powerful web crawlers, security scripts, and full-fledged libraries and applications, as well as how to:

• Rename files, disable processes, change permissions, and modify users
• Manipulate strings, encrypt files, and sort efficiently
• Validate web links, check for orphan files, and generate forms
• Mass edit photos, extract image information, and create thumbnails
• Parse CSV files and scrape links, images, and pages from the Web

And as a nod to our security friends, you’ll even learn how to use Ruby to write Metasploit exploits. For each script you get the code, a discussion of how it works, and tips on how to customize it to solve real-world problems. By the time you’re finished, we think you’ll agree that Ruby is a wicked cool way to get things done.

Shell scripts are an efficient way to interact with your machine and manage your files and system operations. With just a few lines of code, your computer will do exactly what you want it to do. But you can also use shell scripts for many other essential (and not-so-essential) tasks.

This second edition of Wicked Cool Shell Scripts offers a collection of useful, customizable, and fun shell scripts for solving common problems and personalizing your computing environment. Each chapter contains ready-to-use scripts and explanations of how they work, why you’d want to use them, and suggestions for changing and expanding them. You’ll find a mix of classic favorites, like a disk backup utility that keeps your files safe when your system crashes, a password manager, a weather tracker, and several games, as well as 23 brand-new scripts, including:

• A ZIP code lookup tool that reports the city and state
• A Bitcoin address information retriever
• A suite of tools for working with cloud services like Dropbox and iCloud
• Tools for renaming and applying commands to files in bulk
• Image processing and editing tools

Whether you want to save time managing your system or just find new ways to goof off, these scripts are wicked cool!

Windows PowerShell in Action, Third Edition is an end-to-end revision of the definitive guide to PowerShell. Written by language designer Bruce Payette and MVP Richard Siddaway, this rich book offers a crystal-clear introduction to the language along with its essential everyday use cases. Beyond the basics, you'll find detailed examples on deep topics like performance, module architecture, and parallel execution.