[Télécharger] Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3, 2nd Edition (English Edition) de Giancarlo Zaccone Livres En Ligne

Télécharger Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3, 2nd Edition (English Edition) de Giancarlo Zaccone Pdf Ebook

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Télécharger "Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3, 2nd Edition (English Edition)" de Giancarlo Zaccone Francais PDF

Auteur : Giancarlo Zaccone
Catégorie : Boutique Kindle,Ebooks Kindle,Ebooks en langues étrangères
Broché : * pages
Éditeur : *
Langue : Français, Anglais

Implement effective programming techniques in Python to build scalable software that saves time and memoryKey FeaturesDesign distributed computing systems and massive computational tasks coherentlyLearn practical recipes with concise explanations that address development pain points encountered while coding parallel programsUnderstand how to host your parallelized applications on the cloudBook DescriptionNowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures. Applications based on parallel programming are fast, robust, and easily scalable.This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on MPI programming will help you to synchronize processes using the fundamental message passing techniques with mpi4py. Furthermore, you'll get to grips with asynchronous programming and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks. Finally, you'll explore how to design distributed computing systems with Celery and architect Python apps on the cloud using PythonAnywhere, Docker, and serverless applications. By the end of this book, you will be confident in building concurrent and high-performing applications in Python.What you will learnSynchronize multiple threads and processes to manage parallel tasksUse message passing techniques to establish communication between processes to build parallel applicationsProgram your own GPU cards to address complex problemsManage computing entities to execute distributed computational taskWrite efficient programs by adopting the event-driven programming modelExplore cloud technology with Django and Google App EngineApply parallel programming techniques that can lead to performance improvementsWho this book is forThe Python Parallel Programming Cookbook is for software developers who are well-versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. Table of ContentsGetting Started with Parallel Computing and PythonThread-based ParallelismProcess-based ParallelismMessage PassingAsynchronous ProgrammingDistributed PythonCloud ComputingHeterogeneous ComputingPython Debugging and Testing

Télécharger Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3, 2nd Edition (English Edition) de Giancarlo Zaccone Francais PDF

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