
Get your guided tour through the Python 3.9 interpreter: Unlock the inner workings of the Python language, compile the Python interpreter from source code, and participate in the development of CPython. Are there certain parts of Python that just seem like magic? This book explains the concepts, ideas, and technicalities of the Python interpreter in an approachable and hands-on fashion. Once you see how Python works at the interpreter level, you can optimize your applications and fully leverage the power of Python. By the End of the Book You’ll Be Able To: Read and navigate the CPython 3.9 interpreter source code. You’ll deeply comprehend and appreciate the inner workings of concepts like lists, dictionaries, and generators. Make changes to the Python syntax and compile your own version of CPython, from scratch. You’ll customize the Python core data types with new functionality and run CPython’s automated test suite. Master Python’s memory management capabilities and scale your Python code with parallelism and concurrency. Debug C and Python code like a true professional. Profile and benchmark the performance of your Python code and the runtime. Participate in the development of CPython and know how to contribute to future versions of the Python interpreter and standard library.
Podcast episode with the author - https://talkpython.fm/episodes/show/240/a-guided-tour-of-the...
- Introducing Python, 2nd Edition by Bill Lubanovic (Beginner Level)
- Python Distilled, David M. Beazley (Beginner to Intermediate Level)
- Effective Python (2nd Edition), Brett Slatkin (Intermediate Level)
- Fluent Python (2nd Edition), Luciano Ramalho (Advanced Level)
- CPython Internals, Anthony Shaw (Advanced Level)
- Architecture Patterns with Python, Harry J. W. Percival & Bob Gregory (Advanced Level)
If you want to go really deeper like the inner working of CPython I'd recommend Anthony Shaw's CPython internals. It has been on my radar for some time now, still going through the serie of blog posts from tenthousandmeters[0]
0: https://tenthousandmeters.com/blog/python-behind-the-scenes-...
