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Ajouter au panierPaperback or Softback. Etat : New. Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Da. Book.
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Ajouter au panierTaschenbuch. Etat : Neu. Parallel and High Performance Programming with Python | Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask. | Fabio Nelli | Taschenbuch | Englisch | 2023 | Orange Education Pvt Ltd | EAN 9789388590730 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.TABLE OF CONTENTS1. Introduction to Parallel Programming2. Building Multithreaded Programs3. Working with Multiprocessing and mpi4py Library4. Asynchronous Programming with AsyncIO5. Realizing Parallelism with Distributed Systems6. Maximizing Performance with GPU Programming using CUDA7. Embracing the Parallel Computing Revolution8. Scaling Your Data Science Applications with Dask9. Exploring the Potential of AI with Parallel Computing10. Hands-on Applications of Parallel Computing.
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ISBN 10 : 9391246869 ISBN 13 : 9789391246860
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unleash Julia's power: Code Your Data Stories, Shape Machine Intelligence!Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.Table of Contents1. Julia In Data Science Arena2. Getting Started with Julia3. Features Assisting Scaling ML Projects4. Data Structures in Julia5. Working With Datasets In Julia6. Basics of Statistics7. Probability Data Distributions8. Framing Data in Julia9. Working on Data in DataFrames10. Visualizing Data in Julia11. Introducing Machine Learning in Julia12. Data and Models13. Bayesian Statistics and Modeling14. Parallel Computation in Julia15. Distributed Computation in JuliaIndex.
Edité par Orange Education Pvt Ltd, 2024
ISBN 10 : 9391246869 ISBN 13 : 9789391246860
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Ajouter au panierTaschenbuch. Etat : Neu. Ultimate Parallel and Distributed Computing with Julia For Data Science | Nabanita Dash | Taschenbuch | Englisch | 2024 | Orange Education Pvt Ltd | EAN 9789391246860 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.