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Coding, once considered an arcane craft practiced by solitary techies, is now recognized by educators and theorists as a crucial skill, even a new literacy, for all children. Programming is often promoted in K-12 schools as a way to encourage \"computational thinking\" -- which has now become the umbrella term for understanding what computer science has to contribute to reasoning and communicating in an ever-increasingly digital world.InConnected Code,Yasmin Kafai and Quinn Burke argue that although computational thinking represents an excellent starting point, the broader conception of \"computational participation\" better captures the twenty-first-century reality. Computational participation moves beyond the individual to focus on wider social networks and a DIY culture of digital \"making.\" Kafai and Burke describe contemporary examples of computational participation: students who code not for the sake of coding but to create games, stories, and animations to share; the emergence of youth programming communities; the practices and ethical challenges of remixing (rather than starting from scratch); and the move beyond stationary screens to programmable toys, tools, and textiles.

\"In this book, Brian Lennon demonstrates the power of a philological approach to the history of programming languages and their usage cultures. In chapters focused on specific programming languages such as SNOBOL and JavaScript, as well as on code comments, metasyntactic variables, the very early history of programming, and the concept of DevOps, Lennon emphasizes the histories of programming languages in their individual specificities over their abstract formal or structural characteristics, viewing them as carriers and sometimes shapers of specific cultural histories. The book's philological approach to programming languages presents a natural, sensible, and rigorous way for researchers trained in the humanities to perform research on computing in a way that draws on their own expertise. Combining programming knowledge with a humanistic analysis of the social and historical dimensions of computing, Lennon offers researchers in literar

Learn to build and manage better software with clean, intuitive, scalable, maintainable, and high-performance Python code. Key Features ? Comparative analysis of regular and Pythonic coding constructs. ? Illustrates application design paradigms for Python projects. ? Detailed pointers on optimal data processing and application design. ? Highlights accepted conventions for testing and managing production code. Description 'The Pythonic Way' acquaints you with Python's capabilities beyond basic syntax. This book will help you understand widely accepted Pythonic constructs and procedures, thus enabling you to write reliable, optimized, and modular applications.You'll learn about Pythonic data structures, class and object creation, and more. The book then delves into some of Python's lesser-known but incredibly powerful functionalities such as meta-programming, decorators, context managers, generators, and iterators. Additionally, you'll learn how to accelerate computations by using Pandas Series and Dataframes. You will be introduced to various design patterns that work well with Python applications. Finally, we'll discuss testing frameworks and best practices for testing, packaging, launching, and publishing applications in production environments.This book will empower you as you transition from beginner or competitive Python coding to industry-standard Python software development. Intermediate Python developers will gain a deeper understanding of the language's nuances, enabling them to create better software. What you will learn ? Understand common practices for writing scalable and legible Python code. ? Create robust and maintainable production codebases for time and space performant applications. ? Master effective data processing practices and features like generators and decorators to improve complex computations on large datasets. ? Get familiar with Pythonic design patterns for secure, large-scale applications. Who this book is for This book is a valuable reference manual for novice and intermediate programmers and data scientists to learn about Pythonic standards and conventions. For beginners, this book will get you started with Pythonic thinking. This book will serve as a guide to fine-tune your skills beyond syntax and help build robust Python applications for intermediate Python coders. Table of Contents 1. Introduction to Pythonic Code 2. Pythonic Data Structures 3. Classes and OOP Conventions 4. Python Modules and Metaprogramming 5. Pythonic Décorators and Context Managers 6. Data Processing Done Right 7. Iterators, Generators, and Coroutines 8. Python Descriptors 9. Pythonic Application Design and Architecture 10. Effective Testing for Python Code 11. Production Code Management About the Authors Sonal Raj is an engineer, mathematician, data scientist, and Python evangelist from India, who has carved a niche in the financial services domain. He is a Goldman Sachs and D.E. Shaw alumnus who currently heads the data analytics and research efforts for a high-frequency trading firm.He holds a dual master's degree in Computer Science and Business Management and is a former research fellow of the Indian Institute of Science. His areas of research range from image processing, real-time graph computations to electronic trading algorithms and data science. He is a doctoral candidate at the Swiss School of Business Management, Geneva. Over the years, he has implemented low latency platforms, trading strategies, and market signal models. With more than a decade of hands-on experience, he is a community speaker and a Python and data science mentor to newcomers in the field. LinkedIn Profile: https://www.linkedin.com/in/sonalraj/ Blog Link: https://www.sonalraj.com/

\"Learn programming basics in this kid-friendly, easy-to-follow book. It covers computer languages, writing programs, bugs, and loops using real-world examples and fun illustrations. Online and offline activities also boost learning and skills.\"-- Provided by publisher.

C++ is a powerful, much sought after programming language, but can be daunting to work with, even for engineering professionals. Why is this book so useful? Have you ever wondered: • How do keywords like static and virtual change their meanings according to context? • What are the similarities and differences between Pointers and References, Pointers and Arrays, Constructors and Copy Constructors, Nested and Local Inner Classes? • Why is Multiple Interface Inheritance seen to be beautiful but Multiple Implementation Inheritance considered evil? • When is Polymorphism Static or Dynamic, Bounded or Unbounded? Answers on these questions, and much more, are explained in this book, Cybernetics in C++. What makes this text so different and appealing in comparison to existing books on the market? • The Bulleted style, as opposed to Prose, produces results much faster, both in learning and reference • Rules of Thumb, and further expert Tips are given throughout in how to optimise your code • The Prospective Evils sections tell you what to avoid • The thorough coverage ensures you will be trained to expert level in each of Imperative, Procedural, Memory & Resource Management, Object Oriented and Generic Programming Cybernetics in C++ combines a theoretical overview and practical approach in one book, which should prove to be a useful reference for computer scientists, software programmers, engineers and students in this and related field.

It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity.

Explore the world of Rocket-fueled web application development and the power of the Rust programming language Key Features Discover solutions to the common problems faced while creating web applications with RocketLearn everything about Rust, from structs and crates to generics and debuggingCombine Rust and Rocket to create, test, and deploy a full-featured web app Book Description Looking for a fast, powerful, and intuitive framework to build web applications? This Rust book will help you kickstart your web development journey and take your Rust programming skills to the next level as you uncover the power of Rocket - a fast, flexible, and fun framework powered by Rust. Rust Web Development with Rocket wastes no time in getting you up to speed with what Rust is and how to use it. You’ll discover what makes it so productive and reliable, eventually mastering all of the concepts you need to play with the Rocket framework while developing a wide set of web development skills. Throughout this book, you'll be able to walk through a hands-on project, covering everything that goes into making advanced web applications, and get to grips with the ins and outs of Rocket development, including error handling, Rust vectors, and wrappers. You'll also learn how to use synchronous and asynchronous programming to improve application performance and make processing user content easy. By the end of the book, you'll have answers to all your questions about creating a web application using the Rust language and the Rocket web framework. What you will learn Master the basics of Rust, such as its syntax, packages, and toolsGet to grips with Rocket's tooling and ecosystemExtend your Rocket applications using Rust and third-party librariesCreate a full-fledged web app with Rocket that handles user contentWrite pattern-matching logic and handle Rust object lifetimesUse APIs and async programming to make your apps secure and reliableTest your Rocket application and deploy it to productionContainerize and scale your applications for maximum efficiency Who this book is for This web development book is for software engineers who want to learn how to use the Rocket framework to build web applications. Although not mandatory, basic knowledge of the Rust programming language will help you understand the topics covered easily.