How to choose the right concurrency model in Python to maximize program performance and efficiently use system resources, covering multithreading, multiprocessing, and asyncio.
Explores the performance benefits of running Python without the Global Interpreter Lock (GIL), using the new experimental Python 3.13.0b4 pre-release with the --disable-gil flag. Discusses how this change can lead to faster execution times for CPU-intensive tasks in data science and machine learning.
