Paper Contents
Abstract
This document provides an in-depth exploration of advanced topics in C programming, highlighting critical areas such as memory management, machine learning libraries, graphical user interface (GUI) development, and program analysis techniques. It begins by examining memory management, emphasizing dynamic memory allocation methods like malloc, calloc, realloc, and free, alongside best practices to prevent memory leaks and ensure robust program performance. The discussion extends to the role of C in machine learning, showcasing libraries such as TensorFlow C API, Darknet, and Shark, which leverage Cs speed and efficiency for performance-intensive tasks. GUI development in C is also explored, with an overview of popular libraries like GTK+, Qt, and WinAPI, demonstrating how event-driven programming enables user-friendly interfaces. The document further delves into static and dynamic analysis, explaining tools such as Cppcheck, Valgrind, and AddressSanitizer, and their applications in detecting vulnerabilities and enhancing code quality. By integrating these advanced topics, the document underscores the importance of understanding and applying these techniques to create secure, efficient, and high-performance C programs.
Copyright
Copyright © 2025 Rathikabalamurugan. This is an open access article distributed under the Creative Commons Attribution License.
