Python Concurrency And Parallelism
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Python Concurrency And Parallelism
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Author : Pythquill Publishing
language : en
Publisher: Independently Published
Release Date : 2025-06-17
Python Concurrency And Parallelism written by Pythquill Publishing and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
What You Will Learn in This Book Master the core principles of concurrency and parallelism to write more efficient and responsive Python applications. Understand Python's Global Interpreter Lock (GIL) and learn effective strategies to work with or around its limitations. Implement threading effectively for I/O-bound tasks, including advanced synchronization techniques and thread pool management. Develop asynchronous applications with Asyncio, leveraging coroutines, event loops, and non-blocking I/O for high-performance network programming. Utilize the multiprocessing module to achieve true parallel execution, bypass the GIL, and leverage multiple CPU cores. Facilitate inter-process communication (IPC) using various methods like pipes, queues, and shared memory. Optimize CPU-bound tasks by distributing work across multiple processes using process pools. Make informed decisions on when to use threading, Asyncio, or multiprocessing based on your application's requirements. Design and implement hybrid concurrency models by combining different approaches for optimal performance. Apply essential debugging and testing strategies specific to concurrent and parallel Python code. Profile and optimize your concurrent applications to identify bottlenecks and enhance performance. Explore real-world case studies demonstrating practical applications of concurrency and parallelism in various scenarios. Recognize and apply common design patterns for building robust concurrent and parallel systems. Stay informed about emerging trends and the future of concurrency in Python.
Mastering Python Concurrency And Parallelism Unlock The Secrets Of Expert Level Skills
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Author : Larry Jones
language : en
Publisher: Walzone Press
Release Date : 2025-03-05
Mastering Python Concurrency And Parallelism Unlock The Secrets Of Expert Level Skills written by Larry Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Unlock the full potential of your Python programming with "Mastering Python Concurrency and Parallelism: Unlock the Secrets of Expert-Level Skills." This comprehensive guide is crafted for experienced developers ready to elevate their expertise in concurrent and parallel computing. Through detailed exploration of threading, asyncio, and multiprocessing, you'll gain the insights needed to optimize your software for today's multi-core processors, ensuring peak performance and efficiency in your applications. Navigate through the nuanced world of Python concurrency with expertly organized chapters covering essential concepts, real-world applications, and advanced techniques. From demystifying the Global Interpreter Lock (GIL) to designing sophisticated concurrent data structures, this book offers unparalleled clarity and practical knowledge. Each chapter builds on the previous one, providing a seamless learning curve that empowers you to master the intricacies of writing robust, scalable concurrent code. Whether you're developing high-demand web servers, crafting precise financial models, or engineering responsive IoT systems, this book equips you with the tools to succeed. Real-world case studies and best practices accentuate the theoretical, allowing you to apply concepts to your unique challenges. Redefine your development capabilities and achieve new heights in software performance with this essential resource for mastering concurrency in Python.
Mastering Concurrency In Python
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Author : Quan Nguyen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-27
Mastering Concurrency In Python 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 2018-11-27 with Computers categories.
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.
Parallel And High Performance Programming With Python
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Author : Fabio Nelli
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2023-04-13
Parallel And High Performance Programming With Python written by Fabio Nelli and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
Unleash the capabilities of Python and its libraries for solving high performance computational problems. KEY FEATURES ● Explores parallel programming concepts and techniques for high-performance computing. ● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming. ● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow. DESCRIPTION This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead. WHAT WILL YOU LEARN ● Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing ● Implement parallel algorithms in Python ● Best practices for designing, implementing, and scaling parallel programs in Python WHO IS THIS BOOK FOR? This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses. TABLE OF CONTENTS 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library 4. Asynchronous Programming with AsyncIO 5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA 7. Embracing the Parallel Computing Revolution 8. Scaling Your Data Science Applications with Dask 9. Exploring the Potential of AI with Parallel Computing 10. Hands-on Applications of Parallel Computing
Mastering Python
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Author : Dr. Yudhvir Singh, Dr. Nisha
language : en
Publisher: The Readers Paradise
Release Date :
Mastering Python written by Dr. Yudhvir Singh, Dr. Nisha and has been published by The Readers Paradise this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Even experienced Python programmers often write code that works, but isn’t as maintainable, efficient, or reusable as it could be. Mastering Python is an advanced‐level guide that helps bridge that gap. It goes beyond the basics to show how to use Python in a more “Pythonic” way, employing newer features and best practices so your code is cleaner, faster, and more robus - Writing “Pythonic” code — adopting style, idioms, and syntax that are considered best practice in modern Python development. - Functional programming features: decorators, generators, coroutines, metaclasses. - Performance optimization: efficient use of CPU and memory, profiling, concurrency (asyncio, multiprocessing) - Testing & debugging: using pytest, unittest, doctest, debugging tools like PDB etc. - Extending Python: calling C/C++ code, accessing lower‑level system features. - Scientific / Data‑Science tools: use of NumPy, SciPy, pandas, TensorFlow, etc. Barnes & Noble+2Amazon+2 - Packaging and distributing code; making sizable projects maintainable and shareable.
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
Python Functional Paradigms A Detailed Mastery Guide
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2024-12-13
Python Functional Paradigms A Detailed Mastery Guide written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
Immerse yourself in the intricacies of the functional programming paradigm with "Python Functional Paradigms: A Detailed Mastery Guide." This extensive resource advances your Python skills by delving into the sophistication and potential of functional programming. Ideal for intermediate Python developers seeking to understand FP concepts fully, or seasoned programmers aiming to sharpen their functional programming expertise, this guide is specifically crafted to meet your needs. The book thoughtfully encompasses a diverse array of subjects, starting with essential functional programming principles such as pure functions, immutability, and first-class functions, advancing to intricate concepts including monads, functors, and generators. Each chapter is meticulously designed to provide a thorough examination of fundamental functional programming ideas within the Python ecosystem. With practical examples throughout, the book demonstrates how to apply these concepts efficiently in real-world situations, allowing you to create code that is modular, efficient, and easy to understand. "Python Functional Paradigms: A Detailed Mastery Guide" is much more than just a book; it's a crucial resource that inspires you to embrace functional thinking, empowering you to produce Python code that is not only efficient but also transformational. Harness the power of functional programming and start crafting cleaner, more effective Python code today.
Parallel Python Programming
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Author : Ethan B Carter
language : en
Publisher: Independently Published
Release Date : 2024-12-30
Parallel Python Programming written by Ethan B Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
Unlock the full potential of your Python code with Parallel Python Programming, a comprehensive guide to mastering concurrency and multicore processing. This book is designed for developers, data scientists, and engineers looking to accelerate their applications by utilizing modern multi-core processors and parallel execution. Explore the fundamental concepts of parallel computing and how they can be seamlessly integrated into your Python projects. Through practical examples and clear explanations, you'll learn to implement parallel algorithms, optimize performance, and overcome common bottlenecks in CPU-bound tasksFrom leveraging Python's threading and multiprocessing modules to using advanced libraries like Dask and Celery, this book covers the tools, techniques, and best practices for building high-performance, scalable applications. Whether you're working on data analysis, machine learning, or computational simulations, Parallel Python Programming empowers you to speed up your workflows and harness the power of multicore systems with ease. Step into the world of parallelism and unlock the next level of performance in Python programming.
Mastering The Craft Of Python Programming Unraveling The Secrets Of Expert Level Programming
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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-11
Mastering The Craft Of Python Programming Unraveling The Secrets Of Expert Level Programming written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
Unleash the full potential of your Python programming skills with "Mastering the Craft of Python Programming: Unraveling the Secrets of Expert-Level Programming." This book serves as an indispensable guide for experienced developers looking to level up their coding prowess and dive deep into the sophisticated realms of Python. Written with clarity and precision, it covers a breadth of advanced techniques, including complex algorithms, asynchronous programming, and efficient memory management, tailored specifically for the modern programmer's needs. Each chapter meticulously explores key concepts necessary for mastering Python, from idiomatic code practices and harnessing Python's powerful standard library to delving into the intricacies of metaprogramming and decorators. Practical examples, detailed explanations, and insightful tips not only enhance comprehension but also encourage an appreciation for Python's rich ecosystem. The emphasis on optimizing performance and robustness ensures that you can create applications that are as efficient as they are resilient. Embrace the challenge of pushing your knowledge beyond conventional programming boundaries with this comprehensive resource. "Mastering the Craft of Python Programming" is more than just a technical manual; it is an essential companion that empowers you to navigate complex development landscapes, innovate with confidence, and craft high-quality code with elegance and expertise.
Concurrent And Parallel Programming In Python
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Author : Parker Dean
language : en
Publisher:
Release Date : 2025-10-09
Concurrent And Parallel Programming In Python written by Parker Dean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-09 with Computers categories.
Elevate your Python skills with this hands-on guide to concurrent and parallel programming, empowering beginners to advanced developers to optimize code for speed and efficiency. Master multithreading for IO-bound tasks, asyncio for scalable asynchronous operations, and multiprocessing to bypass the GIL for CPU-intensive workloads. Through practical examples, real-world projects like web scrapers, data pipelines, and servers, and best practices for error handling, profiling, and scaling, build high-performance applications for web development, data processing, automation, and more.