Just finished an excellent course on Concurrent and Parallel Programming in Python, and I’m excited to share my experience!
As a lead engineer, I’m always looking for ways to optimize performance and expand my knowledge. This course by Max S on Udemy was a fantastic refresher on async programming, parallel computing, and threading.
What stood out:
- Clear explanations of complex concepts
- Practical, real-world examples
- Hands-on coding opportunities
The instructor breaks down threading, multiprocessing, and asynchronous programming in Python with ease. We built a multi-threaded program that fetches data from the internet, parses it, and saves it to a local database – a common scenario many of us face in our daily work.
Key takeaways:
- Optimizing IO-bound operations with multi-threading and async programming
- Leveraging multiprocessing for CPU-bound tasks
- Combining async and multiprocessing for maximum efficiency
Whether you’re looking to speed up data processing, improve API performance, or just refresh your understanding of concurrent programming in Python, I highly recommend this course.
Have you taken any courses lately that improved your coding skills? Let’s discuss in the comments!
