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142556137
Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading CUDA Pytorch and ...
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Item #:
142556137
FJD 148
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Unleash the capabilities of Python and its libraries for solving high performance computational problems.
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What Stands Out
Versatile Programming
Unlocks parallel and concurrent programming techniques using multithreading and CUDA, catering to both beginners and experienced developers looking to enhance their Python skills.
High-Performance Tools
Focus on using PyTorch and other high-performance frameworks, providing practical solutions for real-world problems in data processing and machine learning applications.
Comprehensive Learning
Offers an extensive curriculum that bridges theoretical concepts with practical applications, ensuring a deep understanding of parallel systems and enhancing productivity in programming tasks.
Product Details
- Unleash the capabilities of Python and its libraries for solving high performance computational problems.Key Features ● Explores parallel programming concepts and techniques for high-performance computing.● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow.Book DescriptionThis 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.What you will learn● Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing● Implement parallel algorithms in Python● Best practices for designing, implementing, and scaling parallel programs in PythonWho is this book for?This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses.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 ComputingAbout the AuthorFabio Nelli holds a Master's Degree in Chemistry and a Bachelor's Degree in IT and Automation Engineering. He currently works at various research institutes and private companies, where he delivers educational courses on data analysis and data visualization technologies. He contributes to writing articles on the web and writes in-depth books on the subject.
| Publisher | AVA |
| Publication date | 14 April 2023 |
| Language | English |
| Print length | 392 pages |
| ISBN-10 | 9388590732 |
| ISBN-13 | 978-9388590730 |
| Dimensions | 19.05 x 2.26 x 23.5 cm |
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English edition Fabio Nelli , Orange AVA Format: Paperback Editorial Review
Parallel And High Performance Programming With Python Unlock Parallel And Concurrent Programming In Python Using Multithreading CUDA Pytorch And ... Programming Parallel Systems Path Band 1 provides an in-depth exploration of parallel and concurrent programming methodologies in Python. This comprehensive guide, published by AVA on April 14, 2023, spans 392 pages, offering readers valuable insights into employing multithreading and CUDA for enhanced performance. Many readers appreciate the clear explanations and practical examples that make complex concepts accessible. It's perfect for developers looking to advance their skills in high-performance programming with Python, addressing both novice and experienced programmers.
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Pros
- In-depth exploration of parallel programming
- Clear explanations of complex concepts
- Real-world examples for practical understanding
- Covers both multithreading and CUDA
- Suitable for novice and expert programmers
Cons
- Some concepts may require prior programming knowledge
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FJD 148
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Features & Benefits
- Learn parallel and concurrent programming with Python.
- Explore high-performance computing techniques and algorithms.
- Practical applications using popular libraries like NumPy and TensorFlow.
- Ideal for software developers aiming to enhance their skills.
- Covers key areas such as multiprocessing and distributed computing.
- Gain insights into the future of parallel computing.
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