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.
Python 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.
Chapter 1: Introduction to Single Board Computers and Raspberry Pi
Chapter 2: Important Linux Commands and Remote Connectivity
Chapter 3: Introduction to Python
Chapter 4: Introduction to Supercomputing
Chapter 5: Message Passing Interface
Chapter 6: Building the Supercomputer
Chapter 7: Overclocking Raspberry Pi
Chapter 8: Parallel Programming in Python 3
Chapter 9: Introduction to SciPy Stack and Symbolic Programming
Chapter 10: Introduction to NumPy
Chapter 11: Introduction to SciPy
Chapter 12: Signal Processing with SciPy
Chapter 13: Image Processing with SciPy
Chapter 14: Matplotlib
