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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

Threads and processes – an overview

A thread can be defined as a sequence of instructions that can be run by a scheduler, which is that part of the operating system that decides which chunk of work will receive the necessary resources to be carried out. Typically, a thread lives within a process. A process can be defined as an instance of a computer program that is being executed.

In previous chapters, we have run our own modules and scripts with commands similar to $ python my_script.py. What happens when a command like that is run, is that a Python process is created. Within it, a main thread of execution is spawned. The instructions in the script are what will be run within that thread.

This is just one way of working though, and Python can actually use more than one thread within the same process, and can even spawn multiple processes. Unsurprisingly, these branches...

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