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3 Approaches to Concurrency in Python.md
3 Approaches to Concurrency in Python.md
 
 
Accelerating Python with Numba.md
Accelerating Python with Numba.md
 
 
Avoiding Persistent Objects with Reference Cycles.md
Avoiding Persistent Objects with Reference Cycles.md
 
 
CUDA Programming with Python.md
CUDA Programming with Python.md
 
 
Concurrency and Parallelism in Python Slideshow Guide.md
Concurrency and Parallelism in Python Slideshow Guide.md
 
 
Disabling GIL in Python 3.13 for Faster Multi-Threading.md
Disabling GIL in Python 3.13 for Faster Multi-Threading.md
 
 
Disabling the Python Global Interpreter Lock (GIL).md
Disabling the Python Global Interpreter Lock (GIL).md
 
 
Efficient Asynchronous Socket Programming with asyncio in Python.md
Efficient Asynchronous Socket Programming with asyncio in Python.md
 
 
Mastering Python Memory Management! Profiling and Optimization.md
Mastering Python Memory Management! Profiling and Optimization.md
 
 
Mastering Python's Memory Management.md
Mastering Python's Memory Management.md
 
 
Memory-Efficient Duplicate Removal in Python.md
Memory-Efficient Duplicate Removal in Python.md
 
 
Mini-Batching with In-Memory Datasets in Python.md
Mini-Batching with In-Memory Datasets in Python.md
 
 
Optimize Python Memory Usage with memory_profiler.md
Optimize Python Memory Usage with memory_profiler.md
 
 
Optimizing Python with Cython! A Slideshow.md
Optimizing Python with Cython! A Slideshow.md
 
 
Parallel Processing with Python ProcessPoolExecutor.md
Parallel Processing with Python ProcessPoolExecutor.md
 
 
Profiling Python Code Execution with NeoLogger's Stopwatch.md
Profiling Python Code Execution with NeoLogger's Stopwatch.md
 
 
Python 3.13's JIT Compiler A Performance Boost.md
Python 3.13's JIT Compiler A Performance Boost.md
 
 
Python Prefetching for Efficient Handling of Huge Data Sets.md
Python Prefetching for Efficient Handling of Huge Data Sets.md
 
 
README.md
README.md
 
 
Speeding Up Python Programs with Short-Circuit Evaluation.md
Speeding Up Python Programs with Short-Circuit Evaluation.md
 
 
Three Concurrency Techniques in Python.md
Three Concurrency Techniques in Python.md
 
 
Timing Python Code with timeit.md
Timing Python Code with timeit.md
 
 
Top Multithreading Design Patterns in Python.md
Top Multithreading Design Patterns in Python.md
 
 
Understanding Python Memory Leaks.md
Understanding Python Memory Leaks.md
 
 
Weak References in Python Memory Management and Practical Uses.md
Weak References in Python Memory Management and Practical Uses.md
 
 

README.md

🚀 Python — Performance & Concurrency

Tecniche avanzate per ottimizzare le performance Python: multithreading, multiprocessing, asyncio, Cython, Numba, gestione della memoria e profiling.

📌 Argomenti chiave

  • 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

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