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Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming Parallel Systems Path)
Unleash the capabilities of Python and its libraries for solving high performance computational problems.
Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming Parallel Systems Path)
artikal br.: 86915013

Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and

artikal br.: 86915013

RSD 6054

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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

Multithreading Insights
Gain essential skills in multithreading to optimize performance. This book offers practical examples to enhance your Python applications, making them faster and more efficient.
CUDA Integration
Utilize CUDA with Python for high-performance computations. Unlock the power of GPUs, enabling complex data processing and machine learning enhancements in realistic settings.
Dask Utilization
Learn to leverage Dask for parallel computing in Python. This feature provides scalable and efficient solutions, ideal for handling large datasets and enhancing workflow tremendously.

Детаљи о производу

Shop Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming Parallel Systems Path) online at a best price in Serbia. 9388590732
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)

Who Should Buy?

Suitable For
  • Python Developers

    Ideal for Python developers seeking to enhance their skills in parallel and concurrent programming techniques.

  • Data Scientists

    Useful for data scientists wanting to leverage powerful libraries like CUDA and Pytorch for data processing and analysis.

  • Students & Learners

    Excellent for students in computer science or related fields looking to grasp efficient programming concepts.

Not Suitable For
  • Beginners in Programming

    Not suitable for absolute beginners unfamiliar with programming concepts and Python basics.

OPIS PROIZVODA

Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming Parallel Systems Path)

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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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Прос

  • 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

Цонс

  • Could benefit from more practical examples

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