Phase 3: Performance & Internals
Phase 3: Performance & Internals
In this phase, we learn how to make Python run at “C-speed” by avoiding slow loops and profiling our code.
🗺️ Learning Path
- Vectorization: Using NumPy and Polars to avoid slow Python loops.
- Memory Profiling: Identifying and fixing memory leaks in long-running data pipelines.
🥅 Goals
- Replace standard loops with vectorized operations.
- Profile CPU and Memory usage.
- Understand how to handle datasets larger than memory.