Executive Development Programme in Building High-Performance Python Modules with C

This program is designed for experienced Python developers and software engineers looking to enhance their skills in building high-performance Python modules using C. Participants will gain the ability to integrate C code with Python, optimize performance-critical sections, and leverage the strengths of both languages to create more efficient and scalable applications.

By the end of the program, attendees will master techniques for seamless integration, understand the underlying mechanisms of CPython, and apply best practices for writing high-performance extensions. Real-world case studies and hands-on projects will ensure practical application and retention of knowledge.

1. 1. Introduction to Python and C Integration: Learners will study the basics of Python and C programming, understanding how to integrate C code into Python. They will gain skills in setting up development environments and writing simple C extensions for Python.
2. 2. Python C API Basics: This module covers the core Python C API, focusing on data types and simple function calls. Learners will understand how to manage Python objects and write basic C functions that interact with Python.
3. 3. Advanced C API and Memory Management: Learners will delve into advanced features of the Python C API, including memory management techniques, error handling, and writing more complex C functions. Practical skills include handling memory efficiently and ensuring robust error checking.
4. 4. PyObjects and Data Structures: This module explores Python’s internal data structures and how to implement them in C. Learners will study PyObjects, list structures, dictionaries, and how to extend Python with custom data types.
5. 5. Thread Safety and Multithreading: Covering thread safety in C extensions for Python, learners will understand concurrency issues and how to implement thread-safe code. Practical skills include using threads and managing GIL (Global Interpreter Lock).
6. 6. Performance Optimization Techniques: This module focuses on optimizing the performance of C extensions for Python. Learners will learn about profiling, memory allocation strategies, and techniques to improve execution speed and reduce resource usage.
7. 7. Building and Distributing Python Modules: Learners will learn how to build, package, and distribute Python modules using setup tools and modern packaging techniques. Practical skills include creating distribution packages and understanding module metadata.
8. 8. Best Practices and Common Pitfalls: This module covers best practices for writing high-performance C extensions, common pitfalls to avoid, and strategies for maintaining and testing Python modules. Learners will gain insights into coding standards, testing frameworks, and documentation practices.
9. 9. Advanced Topics in C Extensions: Delving into advanced topics such as embedding Python in C applications and using Python with C++ or other languages, learners will explore more complex integration scenarios and interoperability with other languages.
10. 10. Final Project and Capstone: In this capstone module, learners will apply all the skills and knowledge gained throughout the programme to develop a comprehensive Python module with C. They will work on a real-world project, demonstrating their ability to integrate high-performance C code into Python applications.