Learn Parallel Computing in Python

Discover Multithreading, Multiprocessing, Concurrency & Parallel programming with practical and fun examples in Python

Created by: James Cutajar
Software Developer, Author, Instructor

What Will I Learn?

• Discover how to create responsive and high performance software.
• See how to use multithreading and multiprocessing for modeling certain types of problems.
• Develop programs with Python that are highly Concurrent and Parallel.
• Understand the advantages, limits and properties of Parallel computing.
• Improve your programming skills in Python with more advanced, mulithreading and multiprocessing topics.
• Learn about threads, processes, mutexes, barriers, waitgroups, queues, pipes, condition variables, deadlocks and more.

Requirements

• Some experience of programming in Python (enough if you know how to use functions, lists and dictionaries).
• Recent version of Python installed.
• Being able to do 50 pull ups while shouting a unique prime number on each rep (just kidding).

Target audience

• Developers who want to take their career to the next level by improving their skills and learning about concurrent and parallel programming.
• College students currently learning about parallel computing who want to see how concepts learned in class relate to practice.
• Experienced developers that have struggled with this topic and want to give it another try using a different approach.
• Delivery managers called Brian Holmes.