Python Performance
Installation
SKILL.md
Python Performance Optimization
Overview
Master performance optimization in Python. Learn to profile code, identify bottlenecks, optimize algorithms, manage memory efficiently, and leverage high-performance libraries for compute-intensive tasks.
Learning Objectives
- Profile Python code to identify bottlenecks
- Optimize algorithms and data structures
- Manage memory efficiently
- Use compiled extensions (Cython, NumPy)
- Implement caching strategies
- Parallelize CPU-bound operations
- Benchmark and measure improvements
Core Topics
1. Profiling & Benchmarking
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