Skip to main content

Beta This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.

Performance Profiling & Optimisation (Python)

Performance Profiling & Optimisation (Python)
Key Points
Instructor Notes
Extract All Images

Search the All In One page

Performance Profiling & Optimisation (Python)

%

Learner View

EPISODES

Summary and Schedule

1. Introduction to Profiling

2. Function Level Profiling

3. Break

4. Line Level Profiling

5. Profiling Conclusion

6. Introduction to Optimisation

7. Using Python Language Features and the Standard Library

8. Data Structures & Algorithms

9. Break

10. Using Scientific Python Packages (NumPy, Pandas and more)

11. Keep Python & Packages up to Date

12. Understanding Latency

13. Optimisation Conclusion

Key Points
Instructor Notes
Extract All Images

Technical Appendix
Acknowledgements
Performant Python Patterns (Talk)
Reference

See all in one page

Learner Profiles

This is a placeholder file. Please add content here.

This lesson is subject to the Code of Conduct

Edit on GitHub | Contributing | Source

Cite | Contact | About

Materials licensed under CC-BY 4.0 by the authors

Template licensed under CC-BY 4.0 by The Carpentries

Built with sandpaper (0.17.1), pegboard (0.7.9), and varnish (1.0.7)