Speed Up Python With Concurrency

Speed Up Your Python Program With Concurrency

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Certificate of Achievement

This is to certify that

Anton Petrov

has successfully completed

Speed Up Python With Concurrency

a course of study offered by Real Python (realpython.com), an online learning platform and expert community for Python software developers.

Completion Date: March 3, 2025

Verification ID: 10f4fa9b-626c-4c48-8e1c-ef8c341d18e8

Course Description

Skill level: advanced

Learn what concurrency means in Python and why you might want to use it. You'll see a simple, non-concurrent approach and then look into why you'd want threading, asyncio, or multiprocessing.

1. Speed Up Python With Concurrency (Overview)

2. Computers and Latency

3. Taking Advantage of Latency With Concurrency Patterns

4. Exploring Changes & Challenges With Concurrency

5. Threads in Python

6. Exercise: Process Items With ThreadPoolExecutor

7. Demonstrating Race Conditions

8. Understanding That the GIL Won't Save You

9. Introducing asyncio

10. Exercise: Gather Async Results

11. Multi-processing Version

12. Differentiating Between IO Bound & CPU Bound

13. Exercise: Compute Sums of Squares

14. Python Concurrency (Quiz)

15. Speed Up Python With Concurrency (Summary)

View Course Details »

Certificate of Completion

This person’s account is verified and was created on May 16, 2023. Real Python certifies their completion of the Speed Up Python With Concurrency course on March 3, 2025.

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About Real Python

Real Python is an online learning platform and expert community for Python software developers. It offers interactive online classes and in-depth tutorials created by a team of subject matter experts.