программирование

JavaScript for hackers, Learn to think like a hacker, Heyes G., 2024.
    
Фрагмент из книги.
JavaScript has always been my passion, I’m fascinated by ways to help me understand JS further. You can often see me tweeting about ways to call functions without parentheses, insane XSS vectors and general ways to find deeper ways of understanding a particular feature. I’m often asked how a tweet can be used to apply to a WAF bypass or browser exploit. For me this isn’t important, sure you could use ways to call JavaScript functions without parentheses to bypass WAFs but the point of my tweets is often to rapidly gain knowledge that could be applied later.

JavaScript for Automation 3, Shanks J.
    
   In this chapter, we explore a practical example of integrating JavaScript for Automation (JXA) with OpenAI’s API. The goal is to create an automation script that interacts with OpenAI’s powerful GPT-3.5 model, enhancing the Mac user’s scripting capabilities with advanced AI insights.

Introduction to Computer Programming with Python, Wang H., 2023.
    
   This chapter prepares you to learn how to program with Python. Preparation includes a brief introduction to computers and computing, programming, and programming languages, as well as the installation of Python and Python interactive programming and integrated development environments (IDEs), including Jupyter Notebook for interactive programming and VS Code as a required IDE.

Head First SQL, A Learner’s Guide to Querying and Managing Data, Fessel K., 2026.
    
   You’re learning great things about how you can organize the information from multiple documents into categories of data and arrange them in a grid-like table. You may have worked with data like this in software for spreadsheets such as Excel or Google Sheets. In this book, we’ll use SQL to create tables as well as find the information we put in them. So what is SQL?

Hands-on Rust, Effective Learning through 2D Game Development and Play, Wolverson H., 2021.
    
   This book assumes that you have some prior programming experience. It gently introduces you to Rust and game development concepts. If you’ve written anything more complicated than a “Hello, World” program in another programming language, you should feel comfortable working through this book’s examples.
This book is ideal for anyone who wants to give Rust a try—it does not assume that you know the Rust language. It’s also well suited for Rust developers who want to try their hand at game development. Alongside an introductory programming tutorial, it could also be helpful to new developers.

GPT-4 for Developers, Campesato O., 2024.
    
   This book contains basic code samples that are written in Python, and their primary purpose is to familiarize you with basic Python to help you understand the Python code generated via ChatGPT. Moreover, clarity has higher priority than writing more compact code that is more difficult to understand (and possibly more prone to bugs). If you decide to use any of the code in this book, you ought to subject that code to the same rigorous analysis as the other parts of your code base.

Godot From Zero to proficiency, Beginner, A step-by-step guide to coding your first game, Felicia P., 2021.
    
   This book will show you how you can very quickly start using Godot and code in GDScript, a scripting language similar to Python.
This book series entitled Godot From Zero to Proficiency allows you to play around with Godot’s core features, and essentially those that will make it possible to create interesting 3D and 2D games rapidly. After reading this book series, you should find it easier to use Godot and its core functionalities, including programming with GDScript.

Geocomputation with Python, Dorman M., Graser A., Nowosad J., 2025.
    
   Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Python’s capabilities for spatial data analysis, as well as dozens of worked-through examples covering the entire range of standard GIS operations. A unique selling point of the book is its cohesive and joined-up coverage of both vector and raster geographic data models and consistent learning curve. This book is an excellent starting point for those new to working with geographic data with Python, making it ideal for students and practitioners beginning their journey with Python.