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Learner Reviews & Feedback for Concurrent and Parallel Programming in Python by Packt
10 ratings
About the Course
Updated in May 2025.
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Dive into the world of concurrent and parallel programming with this detailed course designed for Python developers. Begin with threading, learning how to create and manage threads, and progress to building complex systems with threading classes. Explore practical projects like creating a Wikipedia reader and a Yahoo Finance reader, mastering the use of queues, schedulers, and database integration.
Advance to multiprocessing, understanding how to leverage multiple CPU cores for enhanced performance. Learn to implement multiprocessing queues and pools, handle multiple arguments, and optimize CPU-intensive tasks. Finally, delve into asynchronous programming, mastering async tasks, timeouts, and libraries. Combine asynchronous and multiprocessing techniques for robust and scalable applications.
This course provides a thorough understanding of concurrent and parallel programming, preparing you to tackle real-world challenges and optimize your Python applications for performance and efficiency.
This course is ideal for Python developers, software engineers, and data scientists who want to enhance their skills in concurrent and parallel programming. A basic understanding of Python is recommended.
Top reviews
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1 - 2 of 2 Reviews for Concurrent and Parallel Programming in Python
By Ozren V
•Jan 14, 2025
Exactly as a good course should be - hands on and presenter with authoritative knowledge and clear train of thought
By Quang H D
•Feb 25, 2025
Pros: - Content and instructor are very easy to follow Cons: - The database and YAML videos are not necessary, plus they are too long and off the topic of the course. - This course is not for someone looking for in-depth concurrent/parallel programming - This course should be categorized as a hands-on project or tutorial.