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  • © 2017

Raspberry Pi Supercomputing and Scientific Programming

MPI4PY, NumPy, and SciPy for Enthusiasts

Apress

Authors:

  • Practical and hands-on approach to inexpensive supercomputing at home
  • Tons of examples of parallel programming in Python 3
  • Building a supercomputer with any version of the Raspberry Pi

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxii
  2. Introduction to Python

    • Ashwin Pajankar
    Pages 43-55
  3. Introduction to Supercomputing

    • Ashwin Pajankar
    Pages 57-60
  4. Message Passing Interface

    • Ashwin Pajankar
    Pages 61-65
  5. Building the Supercomputer

    • Ashwin Pajankar
    Pages 67-80
  6. Overclocking Raspberry Pi

    • Ashwin Pajankar
    Pages 81-86
  7. Parallel Programming in Python 3

    • Ashwin Pajankar
    Pages 87-97
  8. Introduction to NumPy

    • Ashwin Pajankar
    Pages 109-128
  9. Introduction to SciPy

    • Ashwin Pajankar
    Pages 129-137
  10. Signal Processing with SciPy

    • Ashwin Pajankar
    Pages 139-147
  11. Image Processing with SciPy

    • Ashwin Pajankar
    Pages 149-158
  12. Matplotlib

    • Ashwin Pajankar
    Pages 159-165
  13. Back Matter

    Pages 167-171

About this book

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. 


Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. 


The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using linear algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home.


What You Will Learn  
  • Discover the essentials of supercomputing
  • Build a low-cost cluster of Raspberry Pis at home
  • Harness the power of parallel programming and the Message Passing Interface (MPI)
  • Use your Raspberry Pi for symbolic, numerical, and scientific programming


Who This Book Is For


Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.



Authors and Affiliations

  • Nashik, India

    Ashwin Pajankar

About the author

Ashwin Pajankar is a Polymath. He is a Science Popularizer, a Programmer, a Maker, an Author, and a Youtuber. He graduated from IIIT Hyderabad with MTech in Computer Science and Engineering. He has keen interest in the promotion of Science, Technology, Engineering, and Mathematics (STEM) education. This is his Second book with Apress Publication. 

Bibliographic Information

Buy it now

Buying options

eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access