MARC details
000 -LEADER |
fixed length control field |
02242nam a22002297a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
231128b2022 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484240069 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.1 PAJ-A |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Pajankar, Ashwin |
245 ## - TITLE STATEMENT |
Title |
Raspberry Pi supercomputing and scientific programming : |
Remainder of title |
MP14PY, NumPy, and SciPy for enthusiasts / |
Statement of responsibility, etc. |
Ashwin Pajankar |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
New York |
Name of publisher, distributor, etc. |
Springer |
Date of publication, distribution, etc. |
2022 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
171p. |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Technology in action |
500 ## - GENERAL NOTE |
General note |
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 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. You will: 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 supercomputer for symbolic, numerical, and scientific programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Python (Computer program language) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Raspberry Pi (Computer) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer graphics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer input-output equipment |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
Withdrawn status |
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