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Mastering Concurrency in Python

You're reading from   Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343052
Length 446 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Table of Contents (22) Chapters Close

Preface 1. Advanced Introduction to Concurrent and Parallel Programming FREE CHAPTER 2. Amdahl's Law 3. Working with Threads in Python 4. Using the with Statement in Threads 5. Concurrent Web Requests 6. Working with Processes in Python 7. Reduction Operators in Processes 8. Concurrent Image Processing 9. Introduction to Asynchronous Programming 10. Implementing Asynchronous Programming in Python 11. Building Communication Channels with asyncio 12. Deadlocks 13. Starvation 14. Race Conditions 15. The Global Interpreter Lock 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures 17. Memory Models and Operations on Atomic Types 18. Building a Server from Scratch 19. Testing, Debugging, and Scheduling Concurrent Applications 20. Assessments 21. Other Books You May Enjoy

How to simulate in Python

In this section, we will look at the results of Amdahl's Law through a Python program. Still considering the task of determining whether an integer is a prime number, as discussed in Chapter 1, Advanced Introduction to Concurrent and Parallel Programming, we will see what actual speedup is achieved through concurrency. If you already have the code for the book downloaded from the GitHub page, we are looking at the Chapter02/example1.py file.

As a refresher, the function that checks for prime numbers is as follows:

# Chapter02/example1.py

from math import sqrt

def is_prime(x):
if x < 2:
return False

if x == 2:
return x

if x % 2 == 0:
return False

limit = int(sqrt(x)) + 1
for i in range(3, limit, 2):
if x % i == 0:
return False

return x

The next part of the code is a function that takes in an...

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