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Mastering Concurrency In Python Epub Quan Nguyen

  • SKU: BELL-35147314
Mastering Concurrency In Python Epub Quan Nguyen
$ 31.00 $ 45.00 (-31%)

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Mastering Concurrency In Python Epub Quan Nguyen instant download after payment.

Publisher: Packt
File Extension: PDF
File size: 13.97 MB
Pages: 446
Author: Quan Nguyen
ISBN: 9781789343052, 1789343054
Language: English
Year: 2018
Edition: epub

Product desciption

Mastering Concurrency In Python Epub Quan Nguyen by Quan Nguyen 9781789343052, 1789343054 instant download after payment.

Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key Features Explore the core syntaxes, language features and modern patterns of concurrency in Python Understand how to use concurrency to keep data consistent and applications responsive Utilize application scaffolding to design highly-scalable programs Book Description 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. 

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