Parallel and Concurrent Programming with Python 1

Parallel and Concurrent Programming with Python 1
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 2h 11m | 743 MB
Instructors: Barron Stone, Olivia Chiu Stone

Parallel programming unlocks a program’s ability to execute multiple instructions simultaneously, increases the overall processing throughput, and is key to writing faster and more efficient applications. Curious about how parallel programming works in the real world? In this course, join instructors Barron and Olivia Stone as they introduce the basics of parallel programming in Python, providing the foundational knowledge you need to write more efficient, performant code. Barron and Olivia explain concepts like threading and mutual exclusion in a fun and informative way, relating them to everyday activities you perform in the kitchen. To cement the ideas, they demo them in action using Python. Each lesson is short and practical, driving home the theory with hands-on techniques.
Topics include:
Sequential vs. parallel computing
Shared vs. distributed memory
Using multiples threads and processes
Basic stages of a thread lifecycle
Preventing data races
Enforcing mutual exclusion
Checking for liveness
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