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Python-Performance

Python Performance Tuning: 15 Quick Wins for Faster Scripts in 2025

·1204 words·6 mins
Optimization Python-Performance Refactoring Profiling Best Practices Python-3-15
Python has evolved significantly. By 2025, with the maturation of the Shannon Plan (JIT compiler integration) and the gradual removal of the GIL (Global Interpreter Lock) in advanced configurations, Python is faster than ever. However, the interpreter can only do so much. The biggest bottlenecks usually lie in developer implementation decisions.

Mastering Python Collections: Lists vs Tuples vs Sets vs Dicts Performance Deep Dive

·1763 words·9 mins
Python Basics Performance Optimization Software Architecture Python-Performance Data-Structures Benchmarking Big-O-Notation Python-3-14 Best Practices
In the landscape of 2025, Python continues to dominate backend development, data engineering, and AI pipelines. With the advancements in Python 3.14 and 3.15 (including the maturity of the JIT compiler and No-GIL builds), the language is faster than ever. However, no amount of interpreter optimization can save code that uses the wrong data structures.