Systemutveckling Enhancing Python Performance
This hands-on course examines techniques and tools for speeding up your Python apps.
Målgrupp
This course is for experienced Python programmers looking to expand their Python experience.
Förkunskaper
This is an advanced course that assumes familiarity with Python programming. However, it applies to all Python communities (e.g., web development, data science, automation).
Kursfakta
| Typ | Öppen |
|---|---|
| Längd | 1 dagar |
| Ditt pris | 9 900 kr exkl. moms |
| Klippkort | Ja |
| Planerad |
0 orter 0 tillfällen |
Utbildningsmål
- Identify bottlenecks in your apps.
- Use concurrent execution to make better use of your computer's resources.
- Speed up numerical apps using NumPy.
- Gain performance improvements using JIT compilation.
Innehåll
Module 1: Profiling
- Measuring execution time
- cProfile
- py-spy
Module 2: Concurrency
- Concurrency in Python
- threading
- asyncio
- multiprocessing
Module 3: Improving performance
- Basic optimisations
- NumPy
- Numba
- JAX
- PyPy
- Cython