Tecniche avanzate per ottimizzare le performance Python: multithreading, multiprocessing, asyncio, Cython, Numba, gestione della memoria e profiling.
- GIL (Global Interpreter Lock) e come aggirarlo
- asyncio, threading, multiprocessing
- Numba, Cython, JIT compiler (Python 3.13)
- Memory profiling e ottimizzazione
- Weak references e reference cycles
- CUDA programming con Python
- Disabling GIL in Python 3.13 for Faster Multi-Threading.md
- CUDA Programming with Python.md
- Accelerating Python with Numba.md
- Mastering Python Memory Management! Profiling and Optimization.md
- Efficient Asynchronous Socket Programming with asyncio in Python.md
- Top Multithreading Design Patterns in Python.md