Using Asyncio In Python 3

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Using Asyncio in Python

Author : Caleb Hattingh
Publisher : O'Reilly Media
ISBN 13 : 1492075302
Total Pages : 166 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Using Asyncio in Python by : Caleb Hattingh

Download or read book Using Asyncio in Python written by Caleb Hattingh and published by O'Reilly Media. This book was released on 2020-01-30 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re among the Python developers put off by asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers. The features you need to consider are a small subset of the whole asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in. Veteran Python developer Caleb Hattingh helps you gain a basic understanding of asyncio’s building blocks—enough to get started writing simple event-based programs. You’ll learn why asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simpleway to support thousands of simultaneous socket connections. Get a critical comparison of asyncio and threading for concurrent network programming Take an asyncio walk-through, including a quickstart guidefor hitting the ground looping with event-based programming Learn the difference between asyncio features for end-user developers and those for framework developers Understand asyncio’s new async/await language syntax, including coroutines and task and future APIs Get detailed case studies (with code) of some popular asyncio-compatible third-party libraries

Python Concurrency with Asyncio

Author : Matthew Fowler
Publisher : Simon and Schuster
ISBN 13 : 1617298662
Total Pages : 374 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Python Concurrency with Asyncio by : Matthew Fowler

Download or read book Python Concurrency with Asyncio written by Matthew Fowler and published by Simon and Schuster. This book was released on 2022-03 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: It's easy to overload standard Python and watch your programs slow to a crawl. The asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable. "Python concurrency with asyncio" introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. You'll learn how to overcome the limitations of Python using asyncio to speed up slow web servers and microservices. You'll even combine asyncio with traditional multiprocessing techniques for huge improvements to performance.

Using Asyncio in Python 3

Author : Caleb Hattingh
Publisher :
ISBN 13 : 9781491999684
Total Pages : pages
Book Rating : 4.9/5 (996 download)

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Book Synopsis Using Asyncio in Python 3 by : Caleb Hattingh

Download or read book Using Asyncio in Python 3 written by Caleb Hattingh and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Guide to Python 3 Programming

Author : John Hunt
Publisher : Springer Nature
ISBN 13 : 3031403363
Total Pages : 638 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advanced Guide to Python 3 Programming by : John Hunt

Download or read book Advanced Guide to Python 3 Programming written by John Hunt and published by Springer Nature. This book was released on 2023-11-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.

Test-Driven Development with Python

Author : Harry Percival
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491958650
Total Pages : 554 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Test-Driven Development with Python by : Harry Percival

Download or read book Test-Driven Development with Python written by Harry Percival and published by "O'Reilly Media, Inc.". This book was released on 2017-08-02 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface

Expert Twisted

Author : Mark Williams
Publisher : Apress
ISBN 13 : 1484237420
Total Pages : 392 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Expert Twisted by : Mark Williams

Download or read book Expert Twisted written by Mark Williams and published by Apress. This book was released on 2018-12-07 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Twisted, the Python-based event-driven networking engine, and review several of its most popular application projects. It is written by community leaders who have contributed to many of the projects covered, and share their hard-won insights and experience. Expert Twisted starts with an introduction to event-driven programming, explaining it in the context of what makes Twisted unique. It shows how Twisted's design emphasizes testability as a solution to common challenges of reliability, debugging, and start-to-finish causality that are inherent in event-driven programming. It also explains asynchronous programming, and the importance of functions, deferreds, and coroutines. It then uses two popular applications, treq and klein, to demonstrate calling and writing Web APIs with Twisted. The second part of the book dives into Twisted projects, in each case explaining how the project fits into the Twisted ecosystem and what it does, and offers several examples to bring readers up to speed, with pointers to additional resources for more depth. Examples include using Twisted with Docker, as a WSGI container, for file sharing, and more. What You'll LearnIntegrate Twisted and asyncio using adapters Automate software build, test, and release processes with Buildbot Create clients and servers with Autobahn Transfer files with Magic Wormhole Distribute cloud-based file storage with Tahoe LAFSUnderstand HTTP/2 with Python and Twisted Support for asynchronous tasks using Django Channels Who This Book Is For Readers should have some Python experience and understand the essentials of containers and protocols, but need not be familiar with Twisted or the associated projects covered in the book.

pytest Quick Start Guide

Author : Bruno Oliveira
Publisher : Packt Publishing Ltd
ISBN 13 : 1789343828
Total Pages : 153 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis pytest Quick Start Guide by : Bruno Oliveira

Download or read book pytest Quick Start Guide written by Bruno Oliveira and published by Packt Publishing Ltd. This book was released on 2018-08-29 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going on. The pytest framework overcomes these problems and simplifies testing your Python software. Many users love to use pytest and the improvement in their testing shows! This book is the ideal introduction to pytest, teaching you how to write ...

Python 3 Object Oriented Programming

Author : Dusty Phillips
Publisher : Packt Publishing Ltd
ISBN 13 : 1849511276
Total Pages : 591 pages
Book Rating : 4.8/5 (495 download)

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Book Synopsis Python 3 Object Oriented Programming by : Dusty Phillips

Download or read book Python 3 Object Oriented Programming written by Dusty Phillips and published by Packt Publishing Ltd. This book was released on 2010-07-26 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of Python 3 objects.

Mastering Concurrency in Python

Author : Quan Nguyen
Publisher : Packt Publishing Ltd
ISBN 13 : 1789341361
Total Pages : 433 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Mastering Concurrency in Python by : Quan Nguyen

Download or read book Mastering Concurrency in Python written by Quan Nguyen and published by Packt Publishing Ltd. This book was released on 2018-11-27 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key FeaturesExplore the core syntaxes, language features and modern patterns of concurrency in PythonUnderstand how to use concurrency to keep data consistent and applications responsiveUtilize 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 What you will learnExplore the concepts of concurrency in programmingExplore the core syntax and features that enable concurrency in PythonUnderstand the correct way to implement concurrencyAbstract methods to keep the data consistent in your programAnalyze problems commonly faced in concurrent programmingUse application scaffolding to design highly-scalable programsWho this book is for This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed.

Fluent Python

Author : Luciano Ramalho
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491946253
Total Pages : 755 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Fluent Python by : Luciano Ramalho

Download or read book Fluent Python written by Luciano Ramalho and published by "O'Reilly Media, Inc.". This book was released on 2015-07-30 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work

Hands-On Enterprise Application Development with Python

Author : Saurabh Badhwar
Publisher : Packt Publishing Ltd
ISBN 13 : 1789530636
Total Pages : 362 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Hands-On Enterprise Application Development with Python by : Saurabh Badhwar

Download or read book Hands-On Enterprise Application Development with Python written by Saurabh Badhwar and published by Packt Publishing Ltd. This book was released on 2018-12-28 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architect scalable, reliable, and maintainable applications for enterprises with Python Key FeaturesExplore various Python design patterns used for enterprise software developmentApply best practices for testing and performance optimization to build stable applicationsLearn about different attacking strategies used on enterprise applications and how to avoid themBook Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learnUnderstand the purpose of design patterns and their impact on application lifecycleBuild applications that can handle large amounts of data-intensive operationsUncover advanced concurrency techniques and discover how to handle a large number of requests in productionOptimize frontends to improve the client-side experience of your applicationEffective testing and performance profiling techniques to detect issues in applications early in the development cycleBuild applications with a focus on securityImplement large applications as microservices to improve scalabilityWho this book is for If you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.

Python Parallel Programming Cookbook

Author : Giancarlo Zaccone
Publisher : Packt Publishing Ltd
ISBN 13 : 1785286722
Total Pages : 286 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Python Parallel Programming Cookbook by : Giancarlo Zaccone

Download or read book Python Parallel Programming Cookbook written by Giancarlo Zaccone and published by Packt Publishing Ltd. This book was released on 2015-08-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master efficient parallel programming to build powerful applications using Python About This Book Design and implement efficient parallel software Master new programming techniques to address and solve complex programming problems Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth Who This Book Is For Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. What You Will Learn Synchronize multiple threads and processes to manage parallel tasks Implement message passing communication between processes to build parallel applications Program your own GPU cards to address complex problems Manage computing entities to execute distributed computational tasks Write efficient programs by adopting the event-driven programming model Explore the cloud technology with DJango and Google App Engine Apply parallel programming techniques that can lead to performance improvements In Detail Parallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts. This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will also understand the StarCluster framework, Pycsp, Scoop, and Disco modules in Python. Further on, you will learn GPU programming with Python using the PyCUDA module along with evaluating performance limitations. Next you will get acquainted with the cloud computing concepts in Python, using Google App Engine (GAE), and building your first application with GAE. Lastly, you will learn about grid computing concepts in Python and using PyGlobus toolkit, GFTP and GASS COPY to transfer files, and service monitoring in PyGlobus. Style and approach A step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts.

Professional Python

Author : Luke Sneeringer
Publisher : John Wiley & Sons
ISBN 13 : 1119070783
Total Pages : 288 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Professional Python by : Luke Sneeringer

Download or read book Professional Python written by Luke Sneeringer and published by John Wiley & Sons. This book was released on 2015-10-07 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the secret tools every Python programmer needs to know Professional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. Design better architecture and write easy-to-understand code using highly adoptable techniques that result in more robust and efficient applications. Coverage includes Decorators, Context Managers, Magic Methods, Class Factories, Metaclasses, Regular Expressions, and more, including advanced methods for unit testing using asyncio and CLI tools. Each topic includes an explanation of the concept and a discussion on applications, followed by hands-on tutorials based on real-world scenarios. The "Python 3 first" approach covers multiple current versions, while ensuring long-term relevance. Python offers many tools and techniques for writing better code, but often confusing documentation leaves many programmers in the dark about how to use them. This book shines a light on these incredibly useful methods, giving you clear guidance toward building stronger applications. Learn advanced Python functions, classes, and libraries Utilize better development and testing tools Understand the "what," "when," "why," and "how" More than just theory or a recipe-style walk-through, this guide helps you learn — and understand — these little-known tools and techniques. You'll streamline your workflow while improving the quality of your output, producing more robust applications with cleaner code and stronger architecture. If you're ready to take your Python skills to the next level, Professional Python is the invaluable guide that will get you there.

Parallel Programming with Python

Author : Jan Palach
Publisher : Packt Publishing Ltd
ISBN 13 : 178328840X
Total Pages : 173 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Parallel Programming with Python by : Jan Palach

Download or read book Parallel Programming with Python written by Jan Palach and published by Packt Publishing Ltd. This book was released on 2014-06-25 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing applications in a simple way, then this book is for you. You are required to have a basic knowledge of Python development to get the most of this book.

Mastering Python

Author : Rick van Hattem
Publisher : Packt Publishing Ltd
ISBN 13 : 1785289136
Total Pages : 486 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Mastering Python by : Rick van Hattem

Download or read book Mastering Python written by Rick van Hattem and published by Packt Publishing Ltd. This book was released on 2016-04-29 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book Become familiar with the most important and advanced parts of the Python code style Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working script and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn Create a virtualenv and start a new project Understand how and when to use the functional programming paradigm Get familiar with the different ways the decorators can be written in Understand the power of generators and coroutines without digressing into lambda calculus Create metaclasses and how it makes working with Python far easier Generate HTML documentation out of documents and code using Sphinx Learn how to track and optimize application performance, both memory and cpu Use the multiprocessing library, not just locally but also across multiple machines Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced scripts and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.

Python Asyncio Mastery

Author : Jason Brownlee
Publisher : SuperFastPython.com
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4./5 ( download)

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Book Synopsis Python Asyncio Mastery by : Jason Brownlee

Download or read book Python Asyncio Mastery written by Jason Brownlee and published by SuperFastPython.com. This book was released on with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Asynchronous programming is built into Python. The language directly supports coroutines as first-class objects with the async and await expressions for asynchronous programming. The asyncio module provides tools for creating and managing asynchronous task and for developing non-blocking I/O client and server programs. Asyncio is not coming, it's here. Skills in asyncio are in demand and the demand is growing. Asynchronous programming and asyncio are how we develop modern scalable event-driven programs in Python. This paradigm dominates modern Python web development, API development, and network programming, and there are few Python programs that do not touch on these areas. Developing concurrent programs using coroutines and the asyncio module API can be very challenging, especially for Python developers who are new to asynchronous programming. Introducing: "Python Asyncio Mastery". A new book designed to teach you asyncio in Python, super fast! You will get fast-paced tutorials showing you how to develop asyncio programs on advanced topics. Including: * How to define, schedule, execute, check the status, and get results from asynchronous tasks. * How to manage groups of asynchronous tasks, including waiting for tasks, getting results, grouping tasks and using timeouts. * How to use more advanced features of tasks such as shielding, sleeping, waiting for, and executing blocking tasks. * How to define, create, and use asynchronous iterators, generators, context managers, and queues. * How to safely synchronize and coordinate the behavior of coroutines with mutex locks, semaphores, barriers, and more. * How to run commands and perform non-blocking inter-process communication with subprocesses. * How to develop clients and servers with socket programming and perform non-blocking reads and writes. Each tutorial is carefully designed to teach one critical aspect of how to use asyncio in your Python programs. Learn Python asyncio correctly, step-by-step.

Learning Concurrency in Python

Author : Elliot Forbes
Publisher : Packt Publishing Ltd
ISBN 13 : 178728316X
Total Pages : 352 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning Concurrency in Python by : Elliot Forbes

Download or read book Learning Concurrency in Python written by Elliot Forbes and published by Packt Publishing Ltd. This book was released on 2017-08-16 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practically and deeply understand concurrency in Python to write efficient programs About This Book Build highly efficient, robust, and concurrent applications Work through practical examples that will help you address the challenges of writing concurrent code Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Who This Book Is For This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts. What You Will Learn Explore the concept of threading and multiprocessing in Python Understand concurrency with threads Manage exceptions in child threads Handle the hardest part in a concurrent system — shared resources Build concurrent systems with Communicating Sequential Processes (CSP) Maintain all concurrent systems and master them Apply reactive programming to build concurrent systems Use GPU to solve specific problems In Detail Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices. Style and approach This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.