Qunar Tech Salon

Apr 3, 2015 · Fundamentals

Python Performance Optimization: Alternatives and Techniques

This article examines why Python’s execution speed can lag behind compiled languages and presents five practical approaches—using alternative runtimes like PyPy, JIT‑based implementations such as Pyston, compilation tools like Nuitka, C extensions via Cython, and JIT acceleration with Numba—to improve Python performance.