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Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and
88% of respondents would recommend this to a friend
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Unleash the capabilities of Python and its libraries for solving high performance computational problems.
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O que se Destaca
Detalhes do produto
| Publisher | AVA |
| Publication date | April 14, 2023 |
| Language | English |
| Print length | 392 pages |
| ISBN-10 | 9388590732 |
| ISBN-13 | 978-9388590730 |
| Item Weight | 1.49 pounds (680 grams) |
| Dimensions | 7.5 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
Quem Deverá Comprar?
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Python Developers
Ideal for Python developers seeking to enhance their skills in parallel and concurrent programming techniques.
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Data Scientists
Useful for data scientists wanting to leverage powerful libraries like CUDA and Pytorch for data processing and analysis.
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Students & Learners
Excellent for students in computer science or related fields looking to grasp efficient programming concepts.
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Beginners in Programming
Not suitable for absolute beginners unfamiliar with programming concepts and Python basics.
DESCRIÇÃO DO PRODUTO
Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming Parallel Systems Path)
Perguntas e respostas do cliente
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Pergunta:
What is Parallel and High Performance Programming with Python?
Resposta: Parallel and High Performance Programming with Python is a comprehensive guide that helps developers leverage Python's capabilities in parallel and concurrent programming. It delves into utilizing multithreading, CUDA, and libraries like PyTorch to optimize performance. This book is particularly beneficial for those looking to speed up processing tasks and efficiently manage multiple threads, essential for data science, machine learning, and real-time applications. -
Pergunta:
Who is this book suitable for?
Resposta: This book is suitable for intermediate to advanced Python developers, data scientists, or anyone working on performance-critical applications. Readers should have a good understanding of Python basics and be eager to explore advanced topics such as concurrent programming and GPU computing. Whether you work in academia, industry, or startups, this book can enhance your coding skills and improve project outcomes by optimizing performance. -
Pergunta:
What programming techniques can I learn from this book?
Resposta: You will learn various programming techniques including multithreading, multiprocessing, and GPU acceleration using CUDA with Python. The book also covers frameworks like PyTorch to perform high-performance computations efficiently. By mastering these techniques, you'll be empowered to handle larger datasets, improve application responsiveness, and significantly reduce processing time, relevant for fields like AI and big data analytics. -
Pergunta:
Is prior experience with CUDA necessary to benefit from this book?
Resposta: No prior experience with CUDA is required; the book begins with foundational concepts and gradually introduces you to CUDA programming in Python. It effectively guides you through installation, setup, and practical examples. This approach allows readers to build their skills step-by-step, making it accessible for developers transitioning into high-performance computing environments. -
Pergunta:
Are there practical examples included in the book?
Resposta: Yes, the book is rich in practical examples demonstrating the implementation of parallel and concurrent programming concepts. Each chapter includes hands-on projects and code snippets that show real-world applications of the techniques discussed. This makes it easier to understand and apply the concepts in your own projects, enhancing learning through practical engagement. -
Pergunta:
Can this book help with machine learning applications?
Resposta: Absolutely! The book emphasizes high-performance computing techniques relevant to machine learning. It teaches you how to leverage PyTorch for building neural networks efficiently and how to parallelize training workflows. This is crucial for anyone involved in developing machine learning applications, as optimizing these processes can lead to faster model training and better overall performance. -
Pergunta:
What tools and libraries will I learn to use?
Resposta: You will learn to use several key tools and libraries, including Python's built-in threading and multiprocessing modules, CUDA for GPU programming, and PyTorch for deep learning applications. These tools are essential for implementing parallel computing strategies, allowing you to enhance the performance of your applications and handle intensive computational tasks with ease. -
Pergunta:
How does multithreading improve application performance?
Resposta: Multithreading allows an application to perform multiple operations simultaneously, thereby improving performance by effectively utilizing CPU resources. This is especially useful for I/O-bound tasks or when waiting for user input. By implementing multithreading as taught in the book, you can create responsive applications that handle multiple tasks, leading to a better user experience. -
Pergunta:
What prerequisites should I have before reading this book?
Resposta: You should have a strong grasp of Python basics, including functions, data structures, and object-oriented programming. Familiarity with basic programming concepts such as loops and conditionals is also beneficial. Although prior experience with parallel programming is not necessary, a willingness to learn and experiment with advanced topics will help you make the most of the material covered. -
Pergunta:
Where can I buy Parallel and High Performance Programming with Python?
Resposta: You can purchase Parallel and High Performance Programming with Python through Ubuy in Cabo Verde. Ubuy offers a convenient online shopping experience, ensuring that you receive your copy promptly. By choosing Ubuy, you also have access to a wide range of resources and reviews to help you make informed purchasing decisions.
Cloud Computing 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 offers an extensive exploration of advanced programming techniques in Python. This comprehensive guide spans 392 pages, providing insights into multithreading and utilizing technologies like CUDA and Pytorch for high-performance computing. With its recent publication date of April 14, 2023, the book is relevant for developers eager to enhance their programming skills in parallel systems. Readers have found the content engaging and informative, making it an excellent choice for those looking to deepen their understanding of performance programming in Python.
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Prós
- Comprehensive guide with 392 pages of content
- Covers multithreading and CUDA programming
- Relevant for both beginners and advanced users
- Engaging and informative writing style
- Publisher AVA is known for quality technical books
Contras
- Could benefit from more practical examples
CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR
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Recursos e benefícios
- 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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