Frances Buontempo

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 Existing resources are either outdated, overly academic, or assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++.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++ code Understand core concepts and syntax Apply various programming approaches, from OOP to functional styles Read and understand complex C++ definitions and resources

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 23Think about testing as you codeLearn what happens "under the hood" of your C++ codeChoose 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.

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.