Raspberry Pi Supercomputing and Scientific Programming

Autor: Ashwin Pajankar

Język:

Oprawa: Miękka

Wydawca: APress

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

249.17 zł

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required librari...

Informacje o książce

Autor

Ashwin Pajankar

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2017

strony

171

EAN

9781484228777

ISBN

1484228774

Enbook ID

16217210

Wydawca

APress

Waga

360

Wymiary

156 x 237 x 14

Pełny opis

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.

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