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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Subtitled "Data Analysis Is (Not) an Art", in this book Franz Kronthaler shows how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data.

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In this book, mathematician Paulina Rowińska leads us on a journey around the globe to discover how maps and math are deeply entwined, and always have been. From a sixteenth-century map, an indispensable navigation tool that exaggerates the size of northern countries, to public transport maps that both guide and confound passengers, to congressional maps that can empower or silence whole communities, she reveals how maps and math have shaped not only our sense of space but our worldview.

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This book shows how to apply functional thinking to real-world problems using C#. Enrico Buonanno starts with the principles of functional programming and the language features that allow developers to program functionally. This second edition is fully revised to cover new functional-inspired features in the most recent releases of C#, including tuples, async streams, pattern matching, and records.

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Subtitled "Master the Full Stack with Typescript, React, Next.Js, Mongodb, and Docker", this book looks at developing complete web applications from the ground up, using JavaScript and its most popular frameworks. Martin Krause shows how to build and implement every component of a modern stack—from scratch.

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In this book, subtitled "Best Practices for Creating Trustworthy AI Systems", Qinghua Lu, et al. illuminate issues of AI responsibility across the entire system lifecycle and all system components. The authors also offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

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This book looks at using the htmx JavaScript library to add logic and server interaction to HTML. Mark Volkmann shows how it provides the effect of using a front-end SPA framework without writing front-end code, and lets developers use any server-side programming language and framework to build server applications with endpoints that simply return snippets of HTML.

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