Agent skill
python-scientific-computing-performance-tips
Sub-skill of python-scientific-computing: Performance Tips.
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/scientific/python-scientific-computing/performance-tips
SKILL.md
Performance Tips
Performance Tips
- Use NumPy's built-in functions - They're optimized in C
- Avoid Python loops - Use vectorization
- Use views instead of copies when possible
- Choose appropriate algorithms - O(n) vs O(n²)
- Profile your code - Find bottlenecks with
cProfile
Use this skill for all numerical engineering calculations in DigitalModel!
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