Python Asyncio Asynchronous Programming With Aiohttp

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Python Asyncio Asynchronous Programming with Aiohttp

Author : Katie Millie
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (221 download)

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Book Synopsis Python Asyncio Asynchronous Programming with Aiohttp by : Katie Millie

Download or read book Python Asyncio Asynchronous Programming with Aiohttp written by Katie Millie and published by Independently Published. This book was released on 2024-04-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Matthew Fowler
Publisher : Simon and Schuster
ISBN 13 : 1638357080
Total Pages : 374 pages
Book Rating : 4.6/5 (383 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 2022-03-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Caleb Hattingh
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492075280
Total Pages : 173 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, Inc.". This book was released on 2020-01-30 with total page 173 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 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.

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.

Python Microservices Development

Author : Tarek Ziadé
Publisher : Packt Publishing Ltd
ISBN 13 : 1785886789
Total Pages : 333 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Python Microservices Development by : Tarek Ziadé

Download or read book Python Microservices Development written by Tarek Ziadé and published by Packt Publishing Ltd. This book was released on 2017-07-25 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical approach to conquering the complexities of Microservices using the Python tooling ecosystem Key Features A very useful guide for Python developers who are shifting to the new microservices-based development A concise, up-to-date guide to building efficient and lightweight microservices in Python using Flask, Tox, and other tools Learn to use Docker containers, CoreOS, and Amazon Web Services to deploy your services Book DescriptionWe often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them. You will use Flask, Tox, and other tools to build your services using best practices. You will learn how to secure connections between services, and how to script Nginx using Lua to build web application firewall features such as rate limiting. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services. This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.What you will learn Explore what microservices are and how to design them Use Python 3, Flask, Tox, and other tools to build your services using best practices Learn how to use a TDD approach Discover how to document your microservices Configure and package your code in the best way Interact with other services Secure, monitor, and scale your services Deploy your services in Docker containers, CoreOS, and Amazon Web Services Who this book is for This book is for developers who have basic knowledge of Python, the command line, and HTTP-based application principles, and those who want to learn how to build, test, scale, and manage Python 3 microservices. No prior experience of writing microservices in Python is assumed.

Python Tutorial 3.11.3

Author : Guido Van Rossum
Publisher :
ISBN 13 : 9781312571655
Total Pages : 0 pages
Book Rating : 4.5/5 (716 download)

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Book Synopsis Python Tutorial 3.11.3 by : Guido Van Rossum

Download or read book Python Tutorial 3.11.3 written by Guido Van Rossum and published by . This book was released on 2023-05-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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

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:

Clean Python

Author : Sunil Kapil
Publisher : Apress
ISBN 13 : 1484248783
Total Pages : 274 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Clean Python by : Sunil Kapil

Download or read book Clean Python written by Sunil Kapil and published by Apress. This book was released on 2019-05-21 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects. Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to effectively organize your code. You will then dive deep into the new features of the Python language and learn how to effectively utilize them. Next, you will decode key concepts such as asynchronous programming, Python data types, type hinting, and path handling. Learn tips to debug and conduct unit and integration tests in your Python code to ensure your code is ready for production. The final leg of your learning journey equips you with essential tools for version management, managing live code, and intelligent code completion. After reading and using this book, you will be proficient in writing clean Python code and successfully apply these principles to your own Python projects. What You’ll Learn Use the right expressions and statements in your Python code Create and assess Python Dictionary Work with advanced data structures in Python Write better modules, classes, functions, and metaclassesStart writing asynchronous Python immediatelyDiscover new features in Python Who This Book Is For Readers with a basic Python programming knowledge who want to improve their Python programming skills by learning right way to code in Python.

Mastering Python: A Comprehensive Guide for Beginners and Experts

Author : Rick Spair
Publisher : Rick Spair
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Python: A Comprehensive Guide for Beginners and Experts by : Rick Spair

Download or read book Mastering Python: A Comprehensive Guide for Beginners and Experts written by Rick Spair and published by Rick Spair. This book was released on with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Python Asyncio Jump-Start

Author : Jason Brownlee
Publisher : SuperFastPython.com
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4./5 ( download)

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Book Synopsis Python Asyncio Jump-Start by : Jason Brownlee

Download or read book Python Asyncio Jump-Start written by Jason Brownlee and published by SuperFastPython.com. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Asyncio is an exciting new addition to Python. It allows regular Python programs to be developed using the asynchronous programming paradigm. It includes changes to the language to support coroutines as first-class objects, such as the async def and await expressions, and the lesser discussed async for and async with expressions for asynchronous iterators and context managers respectively. Asyncio is the way to rapidly develop scalable Python programs capable of tens or hundreds of thousands of concurrent tasks. Developing concurrent programs using coroutines and the asyncio module API can be very challenging for beginners, especially those new to asynchronous programming. Introducing: "Python Asyncio Jump-Start". A new book designed to teach you asyncio in Python, super fast! You will get a rapid-paced, 7-part course focused on getting you started and make you awesome at using asyncio. Including: * How to define, schedule, and execute asynchronous tasks as coroutines. * How to manage groups of asynchronous tasks, including waiting for all tasks, the first that, or the first task to fail. * How to define, create, and use asynchronous iterators, generators, and context manages * How to share data between coroutines with queues and how to synchronize coroutines to make code coroutine-safe. * How to run commands as subprocesses and how to implement asynchronous socket programming with streams. * How to develop a port scanner that is nearly 1,000 times faster than the sequential version. Each of the 7 lessons was carefully designed to teach one critical aspect of asyncio, with explanations, code snippets, and complete examples. Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper. Stop copy-pasting code from StackOverflow answers. Learn Python concurrency correctly, step-by-step.

High Performance Python

Author : Micha Gorelick
Publisher : O'Reilly Media
ISBN 13 : 1492054992
Total Pages : 469 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis High Performance Python by : Micha Gorelick

Download or read book High Performance Python written by Micha Gorelick and published by O'Reilly Media. This book was released on 2020-04-30 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Dr. Gabriele Lanaro
Publisher : Packt Publishing Ltd
ISBN 13 : 183855369X
Total Pages : 652 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis Advanced Python Programming by : Dr. Gabriele Lanaro

Download or read book Advanced Python Programming written by Dr. Gabriele Lanaro and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Python Networking

Author : José Manuel Ortega
Publisher : Packt Publishing Ltd
ISBN 13 : 1789952441
Total Pages : 479 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Learning Python Networking by : José Manuel Ortega

Download or read book Learning Python Networking written by José Manuel Ortega and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools Key FeaturesDeal with remote network servers using SSH, FTP, SNMP and LDAP protocols.Design multi threaded and event-driven architectures for asynchronous servers programming.Leverage your Python programming skills to build powerful network applicationsBook Description Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python. As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks. What you will learnExecute Python modules on networking toolsAutomate tasks regarding the analysis and extraction of information from a networkGet to grips with asynchronous programming modules available in PythonGet to grips with IP address manipulation modules using Python programmingUnderstand the main frameworks available in Python that are focused on web applicationManipulate IP addresses and perform CIDR calculationsWho this book is for If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed.

Advanced Python Development

Author : Matthew Wilkes
Publisher : Apress
ISBN 13 : 9781484257920
Total Pages : 345 pages
Book Rating : 4.2/5 (579 download)

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Book Synopsis Advanced Python Development by : Matthew Wilkes

Download or read book Advanced Python Development written by Matthew Wilkes and published by Apress. This book was released on 2020-08-09 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book builds on basic Python tutorials to explain various Python language features that aren’t routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process. Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference Q&A sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable. Advanced Python Development is intended for developers who can already write simple programs in Python and want to understand when it’s appropriate to use new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python. What You'll Learn Understand asynchronous programming Examine developing plugin architectures Work with type annotations Review testing techniques Explore packaging and dependency management Who This Book Is For Developers at the mid to senior level who already have Python experience.