Python C/C++ Extensions and Code Optimization

Python is incredibly productive, but sometimes you need the raw speed of C or C++ to handle performance-critical tasks. This course guides you through the fundamentals of extending Python with C/C++, static analysis, and code optimization. You will learn to: 1. Understand the fundamentals of the Python C API and how Python interacts with C/C++ code. 2. Build your first Python extension module using C to speed up execution. 3. Analyze your code quality and enforce style standards using pylint. 4. Debug complex execution paths step-by-step using the pdb debugger. 5. Profile your applications to identify and resolve performance bottlenecks. 6. Apply modern best practices for compiling and packaging Python extensions. Starting with core concepts and environment setup, you will progress from writing basic C extensions to analyzing and profiling your code for production readiness. This course is designed for Python developers looking to step into system-level integration and performance tuning. No prior experience with the Python C API is required. Start optimizing your Python applications today.