Frances Buontempo – författare

Build your skills with essential modern C++ features hands-on by completing eight interesting coding projects.

In Learn C++ by Example you'll:

Learn how to write modern C++ using new features from C++ 11 to 23 Think about testing as you code Learn what happens "under the hood" of your C++ code Choose the most efficient algorithm or data structure

About the technology

C++ is used for everything from financial modeling to video games. C++ 11, 17, and 20 have all introduced exciting features that can increase your coding efficiency. This book introduces these features by putting them to use in real projects. Along the way, you'll get up to speed with frequently used data structures, algorithms, and various parts of the standard library.

You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are either outdated, overly academic, or assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++.This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration.Write clean and efficient C++ codeUnderstand core concepts and syntaxApply various programming approaches, from OOP to functional stylesRead and understand complex C++ definitions and resources

Learn the latest features of modern C++ by coding eight engaging projects.Don’t let the multitude of C++ updates intimidate you! Learn C++ by Example takes you through the major language changes since C++ 11, with each new feature demonstrated with a fun project or minigame. It’s perfect for beginners who know C++ basics, coders coming back to the language, or current C++ developers missing out on everything the language has to offer. Inside Learn C++ by Example you’ll find important skills such as: Utilizing the new C++ features from C++ 11 to 23 Effectively testing your C++ code What happens “under the hood” of C++ code Picking efficient algorithms and data structures std::format, STL algorithms, ranges, and coroutines Learn C++ by Example rapidly gets up to speed with C++’s updates and changes, and ensures you’ll stay ahead as the language continues to change and grow. You’ll learn about vectors and ranges by generating Pascal’s triangle, create a racing game with new special member functions, build a slot machine with parameter packs, and more. Foreword by Matt Godbolt. About the technology C++ delivers the flexibility and performance you need for everything from low-level systems programming to secure financial applications and AAA game development. First introduced in 1985, the language is still evolving, with exciting changes in every new version. Whether you’re just getting started or you’re a veteran coder adding to your toolbox, the eight hands-on projects in this book will get you up to speed on modern C++ features and practices. About the book Learn C++ by Example is a fun and practical way to start writing modern C++ code. It guides you through entertaining challenges, emphasizing features and techniques made possible by C++ 17, 20, and 23. You’ll learn about objects and arrays by creating a deck of playing cards, master the C++ random library for a number guess game, use the chrono library to create a countdown timer, and much more. Along the way you’ll also pick up valuable tips for testing, project organization, and other productivity skills. What''s inside New C++ features from C++ 11 to 23 Effectively test your C++ code What happens “under the hood” Efficient algorithms and data structures About the reader Requires beginner to intermediate C++ skills. About the author Frances Buontempo is an experienced C++ developer and the editor of ACCU’s Overload magazine. The technical editor on this book was Timothy Jaap van Deurzen. Table of Contents 1 Hello again, C++! 2 Containers, iterators, and ranges 3 Input of strings and numbers 4 Time points, duration, and literals 5 Creating and using objects and arrays 6 Smart pointers and polymorphism 7 Associative containers and files 8 Unordered maps and coroutines 9 Parameter packs and std::visit

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.

Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.

In this book, you will:

Use heuristics and design fitness functions.Build genetic algorithms.Make nature-inspired swarms with ants, bees and particles.Create Monte Carlo simulations.Investigate cellular automata.Find minima and maxima, using hill climbing and simulated annealing.Try selection methods, including tournament and roulette wheels.Learn about heuristics, fitness functions, metrics, and clusters.

Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon.

What You Need:

Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.