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Nichols C: The Rust Programming
Language, 3rd Edition

The Rust Programming Language, 3rd Edition

Foreword Preface Acknowledgments Introduction Chapter 1: Getting Started Chapter 2: Programming a Guessing Game Chapter 3: Common Programming Concepts Chapter 4: Understanding Ownership Chapter 5: Using Structs to Structure Related Data Chapter 6: Enums and Pattern Matching Chapter 7: Managing Growing Projects with Packages, Crates, and Modules Chapter 8: Common Collections Chapter 9: Error Handling Chapter 10: Generic Types, Traits, and Lifetimes Chapter 11: Writing Automated Tests Chapter 12: An I/O Project: Building a Command Line Program Chapter 13: Functional Language Features: Iterators and Closures Chapter 14: More About Cargo and Crates.io Chapter 15: Smart Pointers Chapter 16: Fearless Concurrency Chapter 17: Fundamentals of Asynchronous Programming: Async, Await, Futures, and Streams Chapter 18: Object-Oriented Programming Features Chapter 19: Patterns and Matching Chapter 20: Advanced Features Chapter 21: Final Project: Building a Multithreaded Web Server Appendix A: Keywords Appendix B: Operators and Symbols Appendix C: Derivable Traits Appendix D: Useful Development Tools Appendix E: Editions Index

Road transport is on a constant course to maintain and improve safety. Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies makes the case for the adoption of safe systems in road transport industries through the embracing of technology, system attributes and values and operational challenges.

Road transport is on a constant course to maintain and improve safety. Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies makes the case for the adoption of safe systems in road transport industries through the embracing of technology, system attributes and values and operational challenges.

Evolution, Challenges, and Emerging Technologies

Approaches to Road Safety

An Object-Oriented Approach with UML

Systems Analysis and Design, with EEPUB Access

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting, but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to understand coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

"International Perspectives on Science, Culture and Society"

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The Art of Automatic Memory Management

The Garbage Collection Handbook

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis--from wrangling data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place. <ul> <li>Analyze data distributions and visualize patterns using Python libraries</li> <li>Improve predictions and insights with regression models</li> <li>Dive into specialized topics like time series analysis and survival analysis</li> <li>Integrate statistical techniques and tools for validation, inference, and more</li> <li>Communicate findings with effective data visualization</li> <li>Troubleshoot common data analysis challenges</li> <li>Boost reproducibility and collaboration in data analysis projects with interactive notebooks</li> </ul>

Exploratory Data Analysis

Think STATS

This book provides an introduction to mathematics and programming that is specifically designed for use by those engaged in the humanities. Linking mathematical concepts and computational skills, the chapters in this book explore humanistic questions from diverse fields, such as art, history and literature.

Mathematics and Programming in Context

Computational Literacy for the Humanities

What Every Engineer Should Know

This book provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work, without computer science jargon.

What Every Engineer Should Know About Python

Explores challenge of securing sensitive medical data in the face of rising cyber threats. Examines how artificial intelligence can be leveraged to detect and mitigate cyber threats in healthcare systems and environments. Integrates advanced technologies: AI security applications, blockchain, cryptanalysis, 5G security.

Cybersecurity in Healthcare Applications

Chapman & Hall/CRC The Python Series

Python for Mathematics introduces readers to effective methods for doing mathematics using the Python programming language

Python for Mathematics

This introductory text explores the key concepts of session types, which codify the structure of communication, making software more reliable and easier to construct. Complemented by examples and exercises throughout, it serves as an entry point to the topic for graduate students and researchers.

This introductory text explores the key concepts of session types, which codify the structure of communication, making software more reliable and easier to construct. Complemented by examples and exercises throughout, it serves as an entry point to the topic for graduate students and researchers.

Session Types

"Think you know JavaScript? Think again. This isn't your typical coding book--it's a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you're a front-end developer tackling complex applications, a back-end engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code."--

Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code.&nbsp; Key features include: <ul><li>Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.</li><li>Performance-focused approach: Analyze and optimize algorithms using Big O notation.</li><li>Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.</li><li>Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.</li><li>Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. </li></ul> Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

Data Structures and Algorithms in JavaScript

The Rust Programming Language, 3rd Edition

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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