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Advanced Python Programming

You're reading from   Advanced Python Programming Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

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Product type Course
Published in Feb 2019
Publisher Packt
ISBN-13 9781838551216
Length 672 pages
Edition 1st Edition
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Authors (3):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Sakis Kasampalis Sakis Kasampalis
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Sakis Kasampalis
Dr. Gabriele Lanaro Dr. Gabriele Lanaro
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Dr. Gabriele Lanaro
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Table of Contents (41) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
Benchmarking and Profiling FREE CHAPTER Pure Python Optimizations Fast Array Operations with NumPy and Pandas C Performance with Cython Exploring Compilers Implementing Concurrency Parallel Processing Advanced Introduction to Concurrent and Parallel Programming Amdahl's Law Working with Threads in Python Using the with Statement in Threads Concurrent Web Requests Working with Processes in Python Reduction Operators in Processes Concurrent Image Processing Introduction to Asynchronous Programming Implementing Asynchronous Programming in Python Building Communication Channels with asyncio Deadlocks Starvation Race Conditions The Global Interpreter Lock The Factory Pattern The Builder Pattern Other Creational Patterns The Adapter Pattern The Decorator Pattern The Bridge Pattern The Facade Pattern Other Structural Patterns The Chain of Responsibility Pattern The Command Pattern The Observer Pattern 1. Appendix 2. Other Books You May Enjoy Index

Chapter 8


What is the idea behind concurrency, and why is it useful?

Concurrency is about designing and structuring program commands and instructions so that different sections of the program can be executed in an efficient order, while sharing the same resources.

What are the differences between concurrent programming and sequential programming?

In sequential programming, the commands and instructions are executed one at the time, in a sequential order. In concurrent programming, some sections might be executed in an efficient way for better execution time.

What are the differences between concurrent programming and parallel programming?

In parallel programming, the separate sections of a program are independent of one another; they do not interact with one another, and therefore, they can be executed simultaneously. In concurrent programming, the separate tasks share the same resources, and some form of coordination between them is therefore required.

Can every program be made concurrent or parallel?

No.

What are embarrassingly parallel tasks?

Embarrassingly parallel tasks can be divided into separate, independent sections, with little or no effort.

What are inherently sequential tasks?

Tasks wherein the order of execution of individual sections is crucial to the results of the tasks, which cannot be made concurrent or parallel to obtain better execution time, are called inherently sequential.

What does I/O bound mean?

This is a condition in which the time it takes to complete a computation is determined mainly by the time spent waiting for input/output operations to be completed.

How is concurrent processing currently being used in the real world?

Concurrency can be found almost everywhere: desktop and mobile applications, video games, web and internet development, artificial intelligence, and so on.

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