Python Asyncio Asynchronous Programming With Aiohttp

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Python Asyncio Asynchronous Programming With Aiohttp

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Author : Katie Millie
language : en
Publisher: Independently Published
Release Date : 2024-04-07

Python Asyncio Asynchronous Programming With Aiohttp written by Katie Millie and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-07 with Computers categories.

Unleash the Async Power of Python: Build Blazing-Fast Web Apps with aiohttp (No More Waiting! ) Tired of sluggish web applications holding you back? Ready to revolutionize your development workflow and deliver lightning-fast user experiences? Python Asyncio Asynchronous Programming with aiohttp is your ultimate guide to unlocking the potential of asynchronous programming! Why Asynchronous Programming? Why aiohttp? Break the Bottleneck: Ditch the limitations of synchronous development. Handle high traffic and complex operations with ease, leaving traditional approaches in the dust. Embrace Efficiency: Maximize resource utilization by handling multiple tasks concurrently. Witness superior performance in your web applications. Build Scalable Systems: Design applications that can gracefully adapt to increasing user loads without compromising performance. aiohttp provides a foundation for highly scalable web architectures. The aiohttp Advantage: aiohttp simplifies asynchronous development with a clean and intuitive API. Focus on building robust applications instead of wrestling with complex asynchronous details. This Book Equips You to: Master the Fundamentals: Gain a solid understanding of asynchronous programming concepts like event loops, coroutines, tasks, and futures. Become an Asyncio Pro: Conquer the core of asynchronous Python with comprehensive guidance on using the asyncio library. aiohttp in Action: Craft powerful web servers, handle HTTP requests and responses, and build dynamic web applications with confidence. Advanced Techniques: Dive deep into real-time applications with WebSockets, form handling, error management, and best practices. Project-Based Learning: Solidify your skills by building real-world projects, including a live chat applicationand a real-time stock ticker. Deployment Ready: Learn how to deploy your asynchronous applications to production, ensuring scalability and optimal performance. Don't Just Build Applications, Build the Future! Asynchronous programming is the wave of the future, and Python Asyncio Asynchronous Programming with aiohttp is your launchpad to mastering it. Stop waiting for sluggish websites! Become an asynchronous programming champion and build high-performance web applications that leave the competition behind! Order your copy today and unlock the true potential of Python web development!

Python Concurrency With Asyncio

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Author : Matthew Fowler
language : en
Publisher: Simon and Schuster
Release Date : 2022-03-15

Python Concurrency With Asyncio written by Matthew Fowler and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Computers categories.

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library. Use coroutines and tasks alongside async/await syntax to run code concurrently Build web APIs and make concurrency web requests with aiohttp Run thousands of SQL queries concurrently Create a map-reduce job that can process gigabytes of data concurrently Use threading with asyncio to mix blocking code with asyncio code Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. About the technology It’s easy to overload standard Python and watch your programs slow to a crawl. Th e 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. About the book 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. What's inside Build web APIs and make concurrency web requests with aiohttp Run thousands of SQL queries concurrently Create a map-reduce job that can process gigabytes of data concurrently Use threading with asyncio to mix blocking code with asyncio code About the reader For intermediate Python programmers. No previous experience of concurrency required. About the author Matthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. Table of Contents 1 Getting to know asyncio 2 asyncio basics 3 A first asyncio application 4 Concurrent web requests 5 Non-blocking database drivers 6 Handling CPU-bound work 7 Handling blocking work with threads 8 Streams 9 Web applications 10 Microservices 11 Synchronization 12 Asynchronous queues 13 Managing subprocesses 14 Advanced asyncio

Using Asyncio In Python

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Author : Caleb Hattingh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-01-30

Using Asyncio In Python written by Caleb Hattingh and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Computers categories.

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

Using Asyncio In Python 3

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Author : Caleb Hattingh
language : en
Publisher:
Release Date : 2018

Using Asyncio In Python 3 written by Caleb Hattingh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Application program interfaces (Computer software) categories.

Python Asyncio Jump Start

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Author : Jason Brownlee
language : en
Publisher:
Release Date : 2022

Python Asyncio Jump Start written by Jason Brownlee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Mastering Python A Comprehensive Guide For Beginners And Experts

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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :

Mastering Python A Comprehensive Guide For Beginners And Experts written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Unlock the full potential of Python programming with "Mastering Python: A Comprehensive Guide for Beginners and Experts." Whether you're a novice just starting your coding journey or an experienced developer looking to sharpen your skills, this book is your ultimate resource. Why This Book? Python is one of the most popular and versatile programming languages in the world. Its simplicity and readability make it an excellent choice for beginners, while its powerful libraries and frameworks cater to the needs of seasoned professionals. "Mastering Python" is designed to cater to both ends of the spectrum, providing a detailed, step-by-step guide that covers everything you need to know about Python.

Hands On Reactive Programming With Python

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Author : Romain Picard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-25

Hands On Reactive Programming With Python written by Romain Picard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-25 with Computers categories.

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits Key FeaturesExplore the advantages of Reactive programmingUse concurrency and parallelism in RxPY to build powerful reactive applicationsDeploy and scale your reactive applications using DockerBook Description Reactive programming is central to many concurrent systems, but it’s famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices. What you will learnStructure Python code for better readability, testing, and performanceExplore the world of event-based programmingGrasp the use of the most common operators in RxUnderstand reactive extensions beyond simple examplesMaster the art of writing reusable componentsDeploy an application on a cloud platform with Docker and TraefikWho this book is for If you are a Python developer who wants to learn Reactive programming to build powerful concurrent and asynchronous applications, this book is for you. Basic understanding of the Python language is all you need to understand the concepts covered in this book.

High Performance Python

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Author : Micha Gorelick
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-04-30

High Performance Python written by Micha Gorelick and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-30 with categories.

Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker

Advanced Python Programming

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Author : Quan Nguyen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-25

Advanced Python Programming written by Quan Nguyen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-25 with Computers categories.

Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge libraries Key FeaturesBenchmark, profile, and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook Description Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learnWrite efficient numerical code with NumPy, pandas, and XarrayUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersOptimize your machine learning models with JAXImplement multithreaded, multiprocessing, and asynchronous programsSolve common problems in concurrent programming, such as deadlocksTackle architecture challenges with design patternsWho this book is for This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.

Advanced Python Programming

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Author : Dr. Gabriele Lanaro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28

Advanced Python Programming written by Dr. Gabriele Lanaro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.

Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.