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Enhancing Python Performance Training

Course 4655

  • Duration: 1 day
  • Language: English
  • Level: Advanced

Python is a slow language---but there are many ways to squeeze performance out of it. This hands-on course looks at techniques and tools for speeding up your Python apps.

Introduction to Python Training • course 1905

This is an advanced course that assumes familiarity with Python programming. However, it is applicable to all Python communities (e.g., web development, data science, automation).

This course is for experience Python programmers looking to expand on their Python experience.

Enhancing Python Performance Training Delivery Methods

  • Hands-on labs for enhancing practical skills
  • After-course instructor coaching benefit

Enhancing Python Performance Training Course Benefits

Identify bottlenecks in your appsUse concurrent execution to make better use of your computer's resourcesSpeed up numerical apps using NumPyGain performance improvements using JIT compilation

Advanced Python Training Outline

  • Measuring execution time
  • cProfile
  • py-spy
  • Concurrency in Python
  • threading
  • asyncio
  • multiprocessing
  • Basic optimisations
  • NumPy
  • Numba
  • JAX
  • PyPy
  • Cython
Get This Course 7.700 kr For Team Prices Call: 46 (0) 8 50666800
  • 1-day instructor-led training course
  • One-on-one after-course instructor coaching
  • Tuition fee can be paid later by invoice -OR- at the time of checkout by credit card
#4655
  • apr 13 15:00 - 22:30 CEST
    Virtual
  • maj 16 9:00 - 16:30 CEST
    Stockholm or Virtual
  • jul 25 15:00 - 22:30 CEST
    Virtual
  • aug 8 9:00 - 16:30 CEST
    Stockholm or Virtual
  • okt 24 15:00 - 22:30 CEST
    Virtual
  • nov 7 9:00 - 16:30 CET
    Stockholm or Virtual
  • jan 17 15:00 - 22:30 CET
    Virtual
  • Använd denna eller någon annan utbildning i ditt företag
  • Fullskalig programutveckling
  • Levereras när, var och hur du vill
  • Blandade utbildningsmodellerSkräddarsytt innehåll
  • Coaching av ett expertteam
#4655
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Course FAQs

Yes. This is an advanced course that assumes familiarity with Python programming. However, it is applicable to all Python communities (e.g., web development, data science, automation).

The course is focused on gaining performance through the use of _Python_ code. While languages such as C/C++ and Rust are important in the development of high-performance Python applications, they are beyond the scope of this course.

The course doesn't focus on any particular IDE. Both Visual Studio Code and PyCharm are provided for use in exercises.

Yes. There are various opportunities to apply the ideas presented to sample Python apps.