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