Subtitled "30 Essential Questions and Answers on Machine Learning and AI", this book was born out of questions often fielded by author Sebastian Raschka, who takes a direct, no-nonsense approach to make advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.

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This book looks at the world of Pascal and Delphi. From the innovative mind of Niklaus Wirth at Zurich's ETH to the global software revolutions powered by Borland's Turbo Pascal, Marco Geuze unravels the story of how simplicity and efficiency became the core of modern software development. With a focus on pivotal moments, Marco captures how they revolutionized not only coding but also the way programmers think. Filled with behind-the-scenes stories from key players like Anders Hejlsberg, Zack Urlocker, Allen Bauer and Chuck Jazdzewski, this book dives deep into the heart of programming history and showcases the development environment that sparked the era of rapid application building.

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This book reveals what you can do with the EspressIf ESP32's GPIO lines together with widely used sensors, servos and motors and ADCs. Harry Fairhead uses C as the ideal choice of language to program the ESP32, ensuring that your programs are fast and efficient, and here it is used with the Espressif IoT Development Framework, ESP-IDF and VS Code, a combination which makes it simple to get started and provides a wealth of functions not found elsewhere.

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This book introduces AI algorithms designed to solve complex and poorly-structured problems such as "What’s the fastest route from one place to another?" "How do you calculate the optimal price for a product?" and "How should you plant crops, allocate resources, and schedule surgeries?" 

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This book considers how the flow of information has shaped us, and our world. Taking the reader from the Stone Age through the Bible, early modern witch-hunts, Stalinism, Nazism and the resurgence of populism today, Yuval Noah Harari considers the complex relationship between information and truth, bureaucracy and mythology, wisdom and power.

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Subtitled "A Practical Introduction to Modern Encryption", this thoroughly revised and updated second edition introduces modern cryptography and down fundamental mathematical concepts without shying away from meaty discussions of how they work. Jean-Philippe Aumasson provides insights into topics like authenticated encryption, secure randomness, hash functions, block ciphers, and public-key techniques such as RSA and elliptic curve cryptography.

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After you’re comfortable with Rust’s syntax and its uniquely-powerful compiler, there’s a whole new dimension to explore as you put it to use in real projects. Subtitled "Code like a Rustacean", this book catalogs, documents, and describes both how classic design patterns work with Rust, and the new Rust-specific patterns that will help solve common programming problems and ensure your code is easy for others to understand. Brenden Matthews answers questions such as How do you apply standard design patterns in Rust applications? Where and why should you use IntoIterator? And why do Rustaceans love the PhantomData type?

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This book is a comprehensive study on analog historical simulation games, exploring both their theoretical concepts and practical solutions. Riccardo Masini considers the various ways used by simulation games to depict the different dynamics of historical events and analyzes how commercial analog miniature and board wargames can become valuable tools for historical research and provide a more modern and captivating interpretation of past events.

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This book looks at what data structures and algorithms can do for JavaScript code. Jay Wengrow examines how mastering them enables you to write code that runs faster and more efficiently. The book looks at how to use Big O notation to measure and articulate the efficiency of code, and modify algorithms to make it faster. Wenrow examines how the choice of arrays, linked lists, and hash tables can dramatically affect the code you write. 

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This guide to statistical analysis using Python presents important topics useful for data science such as prediction, correlation, and data exploration.Peter C. Bruce, Peter Gedeck and Janet Dobbins provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation.

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This guide is based on Daniel Shiffman's Coding Train YouTube channel, where Shiffman mixes creativity and code. This JavaScript-based edition of Shiffman’s work concentrates on the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations.

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This book guides the reader example-by-example from setup, through that first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. Mark Needham, Michael Hunger and Michael Simons explore DuckDB’s handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB.

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