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This practical guide helps you make the transition to writing idiomatic Rust-while also making full use of Rust's type system, safety guarantees, and burgeoning ecosystem.
TypeScript has a learning curve of its own, and understanding how to use it effectively takes time and practice. Using the format popularized by Effective C++ and Effective Java... Læs mere
Author Ian Griffiths guides you through C# 12.0 and .NET 8 fundamentals and techniques for building cloud, web, and desktop applications. Designed for experienced programmers, this... Læs mere
A friendly, fully-illustrated introduction to the most important computer programming algorithms. Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.
The core aim of the book is to provide a self-contained introduction to R (both Base R and the tidyverse) and show how this knowledge can be applied to a range of OR... Læs mere
Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten... Læs mere
This book introduces algorithmic approaches to computational design through both Grasshopper and Python. This book (including its accompanying code and... Læs mere
This book introduces algorithmic approaches to computational design through both Grasshopper and Python. This book (including its accompanying code and... Læs mere
This concise volume, using examples of psychotherapy talk, showcases the potential applications of data analytics for advancing discourse research and other related disciplines.
This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.
This book provides an accessible introduction to intermediate-level electrodynamics with computational approaches to complement a traditional mathematical treatment of the subject.
The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity.