Python Parallel Programming Cookbook
Unleash the full potential of Python for parallel programming with 'Python Parallel Programming Cookbook.' This book teaches you how to write code that performs multiple tasks simultaneously, enhancing efficiency and computational power. You'll explore topics such as threading, multip...
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| Médium: | E-kniha |
| Jazyk: | angličtina |
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Packt Publishing
26.08.2015
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| ISBN: | 9781785289583, 1785289586 |
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| Abstract | Unleash the full potential of Python for parallel programming with 'Python Parallel Programming Cookbook.' This book teaches you how to write code that performs multiple tasks simultaneously, enhancing efficiency and computational power. You'll explore topics such as threading, multiprocessing, asynchronous programming, and GPU utilization, all through practical Python examples.What this Book will help me doUnderstand and apply threading and process-based parallelism in Python programming.Implement message-passing communication to manage parallel tasks across processes.Master GPU programming using PyCUDA to tackle computationally intensive problems.Leverage Python frameworks and libraries for distributed parallel computing applications.Adopt asynchronous event-driven programming models to design efficient applications.Author(s)None Zaccone is an experienced Python programmer and educator who specializes in parallel and distributed computing techniques. With a background in teaching and development, None has guided many learners through complex programming concepts, providing clear and insightful explanations. His approach emphasizes practicality and clarity, making technical topics accessible and actionable for developers.Who is it for?This book is ideal for Python developers who are looking to explore or deepen their knowledge of parallel programming techniques. It's perfect for those with an intermediate to advanced skill level in Python and seeks to optimize performance in their applications. If you're a developer interested in distributed systems, GPU programming, or asynchronous programming, this book will give you the fundamental and advanced tools needed to succeed. |
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| AbstractList | Master efficient parallel programming to build powerful applications using PythonAbout This BookDesign and implement efficient parallel softwareMaster new programming techniques to address and solve complex programming problemsExplore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depthWho This Book Is ForPython Parallel Programming Cookbook is intended 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.What You Will LearnSynchronize multiple threads and processes to manage parallel tasksImplement message passing communication between processes to build parallel applicationsProgram your own GPU cards to address complex problemsManage computing entities to execute distributed computational tasksWrite efficient programs by adopting the event-driven programming modelExplore the cloud technology with DJango and Google App EngineApply parallel programming techniques that can lead to performance improvementsIn DetailParallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts.This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool.Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker.You will also understand the StarCluster framework, Pycsp, Scoop, and Disco modules in Python. Further on, you will learn GPU programming with Python using the PyCUDA module along with evaluating performance limitations. Next you will get acquainted with the cloud computing concepts in Python, using Google App Engine (GAE), and building your first application with GAE. Lastly, you will learn about grid computing concepts in Python and using PyGlobus toolkit, GFTP and GASS COPY to transfer files, and service monitoring in PyGlobus.Style and approachA step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts. Unleash the full potential of Python for parallel programming with 'Python Parallel Programming Cookbook.' This book teaches you how to write code that performs multiple tasks simultaneously, enhancing efficiency and computational power. You'll explore topics such as threading, multiprocessing, asynchronous programming, and GPU utilization, all through practical Python examples.What this Book will help me doUnderstand and apply threading and process-based parallelism in Python programming.Implement message-passing communication to manage parallel tasks across processes.Master GPU programming using PyCUDA to tackle computationally intensive problems.Leverage Python frameworks and libraries for distributed parallel computing applications.Adopt asynchronous event-driven programming models to design efficient applications.Author(s)None Zaccone is an experienced Python programmer and educator who specializes in parallel and distributed computing techniques. With a background in teaching and development, None has guided many learners through complex programming concepts, providing clear and insightful explanations. His approach emphasizes practicality and clarity, making technical topics accessible and actionable for developers.Who is it for?This book is ideal for Python developers who are looking to explore or deepen their knowledge of parallel programming techniques. It's perfect for those with an intermediate to advanced skill level in Python and seeks to optimize performance in their applications. If you're a developer interested in distributed systems, GPU programming, or asynchronous programming, this book will give you the fundamental and advanced tools needed to succeed. |
| Author | Giancarlo Zaccone |
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