Concurrent Programming with Python [Video]

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Concurrent Programming with Python [Video]

Decebal Dobrica

Harness the power of modern code structures with Python to improve performance and flexibility
This title is available to pre-order now and is expected to be published in
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Video Details

ISBN 139781787120006
Course Length4 hours

Video Description

Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including the libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing. Write efficient concurrent applications that take advantage of modern-day multi-core processors to provide interactivity to users. Gain in-depth knowledge of using threads and processes with the help of real-world examples.

Style and Approach

Filled with examples, this course shows you all you need to know to master concurrency in Python. You will learn about all the libraries and tools needed to exploit the performance of your processor.

Table of Contents

What You Will Learn

  • Mechanics of concurrency
  • Make an educated distinction between parallel programming and concurrent programming
  • Raise your awareness of concurrency (what is out there and what is missing)
  • Good practices and caveats
  • How Python compares with other languages when dealing with concurrency
  • Maybe even improve your football coaching skills

Authors

Table of Contents

Video Details

ISBN 139781787120006
Course Length4 hours
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