Learn the language that built the modern world - and discover how AI tools make mastering C faster than ever before. C Programming with AI is the complete beginner-to-practitioner guide for developers who want to understand computing at its deepest level. Written for 2026, this book takes you from your very first C program all the way to building systems-level applications, working with AI services, and writing the kind of high-performance code that powers operating systems, embedded chips, and AI inference engines. Author Thomas Scott strips away the mystery around C's toughest concepts - pointers, memory management, and low-level systems - and builds your understanding step by step, with real code, real projects, and practical AI tools woven throughout. WHAT YOU'LL LEARN: - C fundamentals: variables, data types, operators, input/output, and control flow - Functions, arrays, strings, and modular programming - Pointers and memory management - explained clearly and thoroughly - Structures, unions, enums, and dynamic memory allocation - File handling, debugging, header files, and the C compilation process - Advanced topics: recursion, data structures, linked lists, stacks, and queues - Sorting and searching algorithms, bitwise operations, and system calls - Multithreading, concurrency basics, and performance optimization - Writing clean, maintainable C code to professional standards - AI-assisted development: using AI tools to write, debug, and analyze C code - Prompt engineering techniques tailored for C programming tasks - Calling AI APIs and integrating AI services directly from C - C in embedded systems and high-performance AI inference pipelines > WHY THIS BOOK: >Covers modern C standards throughout, including C17 and C23 improvements. Includes comprehensive appendices covering C syntax, the standard library, pointers, common compiler flags, a full glossary, common error messages and fixes, AI tools for C programmers, learning resources, and project ideas for further practice. Perfect for: complete beginners, computer science students, developers who want to understand how software really works, embedded systems engineers, and anyone building performance-critical or AI-adjacent applications.
AmazonPages: 208, Paperback, Independently published
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