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  • Book Overview & Buying Mastering Concurrency in Python
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Mastering Concurrency in Python

Mastering Concurrency in Python

By : Quan Nguyen
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Mastering Concurrency in Python

Mastering Concurrency in Python

1 (1)
By: Quan Nguyen

Overview of this book

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language
Table of Contents (22 chapters)
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The requests module

The requests module allows its users to make and send HTTP request methods. In the applications that we will be considering, it is mainly used to make contact with the server of the web pages we want to extract data from and obtain the response for the server.

According to the official documentation of the module, the use of Python 3 is highly recommended over Python 2 for requests.

To install the module on your computer, run the following:

pip install requests

You should use this code if you are using pip as your package manager. If, however, you are using Anaconda instead, simply use the following:

conda install requests

These commands should install requests and any other required dependencies (idna, certifi, urllib3, and so on) for you if your system does not have those already. After this, run import requests in a Python interpreter to confirm that the...

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Mastering Concurrency in Python
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