Mastering Concurrency In Python
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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.
Mastering Python Concurrency And Parallelism
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Author : Larry Jones
language : en
Publisher: Independently Published
Release Date : 2025-03-06
Mastering Python Concurrency And Parallelism written by Larry Jones and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 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.
High Performance Python
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Author : Kevin F Main
language : en
Publisher: Independently Published
Release Date : 2025-11-05
High Performance Python written by Kevin F Main and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-05 with Computers categories.
Is your Python application hitting a wall? Are your API endpoints timing out? Do your data processing scripts take hours instead of minutes? The "fix it later" approach has failed, and you're now facing the high cost of slow code. The solution isn't to just "write cleaner code." The solution is to become a performance engineer. High-Performance Python: The Advanced Playbook is your comprehensive guide to the complete performance lifecycle. This book provides a rigorous, step-by-step process to hunt down any bottleneck-whether it's CPU, I/O, or memory-and apply the correct, production-grade solution. You will learn to: Diagnose Like an Expert: Stop wasting time on the wrong optimizations. Use cProfile and line_profiler to identify the exact hot spot that matters. Fix Problems for Free: Master the "low-hanging fruit" that yields massive gains. You'll learn why set lookups, str.join(), and @lru_cache are your most powerful first-line tools. Choose the Right Concurrency Model: Finally understand the "when" and "why" of Python's concurrency stack. multiprocessing: The "sledgehammer" to smash the GIL for heavy CPU-bound tasks. threading: The "scalpel" to manage a few I/O-bound tasks (like API clients). asyncio: The "master chef" to handle 10,000+ concurrent I/O connections with almost zero overhead. Achieve C-Level Speed: When Python itself is the bottleneck, you'll learn to use Cython. You'll add C-level static types (cdef) to your Python code and release the GIL (nogil), achieving 200x+ speedups without leaving your favorite language. Build Systems That Last: Learn the architectural patterns that separate scripts from services. You'll build resilient applications using Redis for caching, RQ for job queues, and monitoring for real-time insight. From algorithmic optimization to enterprise-grade caching, this book is your guide to building, deploying, and scaling fast, fault-tolerant, and professional Python applications. Your journey to becoming a high-performance Python expert starts here. Add this book to your cart today.
Advanced Python Programming
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Author : Dr. Gabriele Lanaro
language : en
Publisher:
Release Date : 2019
Advanced Python Programming written by Dr. Gabriele Lanaro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Python (Computer program language) categories.
Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book 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 Lanaro ? Mastering Concurrency in Python by Quan Nguyen ? Mastering Python Design Patterns by Sakis Kasampalis What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who 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." -- Publisher's description
Advanced Python Programming
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Author : Gabriele Lanaro
language : en
Publisher:
Release Date : 2019-02-22
Advanced Python Programming written by Gabriele Lanaro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-22 with Computers categories.
Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book 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 Lanaro Mastering Concurrency in Python by Quan Nguyen Mastering Python Design Patterns by Sakis Kasampalis What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who 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 Concurrency In Python
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Author : Elliot Forbes
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-16
Learning Concurrency In Python written by Elliot Forbes 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 2017-08-16 with Computers categories.
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.
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.
Fluent Python
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Author : Luciano Ramalho
language : en
Publisher: O'Reilly Media
Release Date : 2015
Fluent Python written by Luciano Ramalho and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
Explains how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything the language has to offer. By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time. --From publisher description.
Concurrent Python Programming Essentials
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Author : Bell Asam
language : en
Publisher: Independently Published
Release Date : 2025-12-15
Concurrent Python Programming Essentials written by Bell Asam and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-15 with Computers categories.
Unlock the full potential of Python in multi-core environments with Concurrent Python Programming Essentials: Manage Locks, Queues, and Asynchronous Tasks in Multi-Core Environments with 65 Threading and Multiprocessing Challenges for Faster Execution. In today's fast-paced world of software development, mastering concurrency is key to building responsive, scalable applications that handle real-time data, web servers, and CPU-intensive tasks without bottlenecks. This comprehensive guide, authored by Bell Asam, demystifies Python's concurrency ecosystem, from the fundamentals of threads and processes to advanced asynchronous programming with asyncio. Whether you're a beginner looking to grasp the Global Interpreter Lock (GIL) or an experienced developer optimizing performance in I/O-bound and CPU-bound scenarios, this book equips you with practical tools and techniques. Dive into: Threading and Multiprocessing Mastery: Learn to manage locks, queues, and shared resources to avoid race conditions and deadlocks. Asyncio for High-Performance Apps: Harness coroutines and event loops for efficient I/O operations, like network requests and file handling. Real-World Applications: Build concurrent web scrapers, data pipelines, and chat systems with step-by-step examples. 65 Hands-On Challenges: Reinforce your skills with progressive exercises, from simple file downloaders to complex capstone projects, complete with solutions in the appendix. Optimization and Best Practices: Profile and debug concurrent code, leveraging Python's libraries for maximum efficiency in multi-core setups. Packed with analogies, code snippets, and performance comparisons, this book transforms theoretical concepts into actionable strategies. Ideal for data scientists, web developers, and system architects, it prepares you to create faster, more reliable software. Elevate your Python programming today-grab your copy and start juggling tasks like a pro!
Efficient And Parallel Python Programming
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Author : Matthew D Passmore
language : en
Publisher: Independently Published
Release Date : 2024-05-28
Efficient And Parallel Python Programming written by Matthew D Passmore and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Computers categories.
Unlock the full potential of Python with this comprehensive guide to efficient and parallel programming. In today's fast-paced world, building scalable, responsive, and high-performance applications is essential. This practical handbook provides the tools and techniques you need to master concurrent development and take your Python skills to the next level. Inside, you'll discover: Foundations of Concurrency and Parallelism: Understand the core concepts and differences between concurrent and parallel programming. Learn how to choose the right approach for your specific needs. Advanced Python Techniques: Dive into Python's threading, multiprocessing, and asynchronous programming features. Master the use of libraries such as concurrent.futures, asyncio, and more. Real-World Applications: Explore detailed examples and case studies demonstrating how to apply these techniques in real-world scenarios, from web development to data processing. Performance Optimization: Learn how to profile and optimize your code for maximum efficiency. Discover best practices for avoiding common pitfalls and bottlenecks. Hands-On Projects: Put theory into practice with hands-on projects designed to reinforce your learning and build your confidence in applying concurrent and parallel programming techniques. . Whether you're a seasoned developer looking to refine your skills or a newcomer eager to learn about concurrent development, "Efficient and Parallel Python Programming" offers a clear, practical roadmap for building fast, scalable, and robust applications. Embrace the future of Python programming and transform your development workflow with this essential handbook.