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Parallel Python Programming":: ""Harnessing Concurrency and Multi core Processing for High-Performance Computing" - Couverture souple
Synopsis
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.
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Parallel Python Programming": "Harnessing Concurrency and Multi core Processing for High-Performance Computing"
Edité par
Independently published, 2024
ISBN 13 : 9798305390315
Ancien ou d'occasion
Couverture souple
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Paperback. Etat : new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798305390315
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Paperback. Etat : new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798305390315
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