Book Image

SciPy Recipes

By : V Kishore Ayyadevara, Ruben Oliva Ramos
Book Image

SciPy Recipes

By: V Kishore Ayyadevara, Ruben Oliva Ramos

Overview of this book

With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Table of Contents (11 chapters)

Getting to Know the Tools

In this chapter, we cover the following recipes:

  • Installing Anaconda on Windows
  • Installing Anaconda on macOS
  • Installing Anaconda on Linux
  • Checking the Anaconda installation
  • Installing SciPy from a binary distribution on Windows
  • Installing SciPy from a binary distribution on macOS
  • Installing SciPy from source on Linux
  • Installing optional packages with conda
  • Installing packages with pip
  • Setting up a virtual environment with conda
  • Creating a virtual environment for development with conda
  • Creating a conda environment with a different version of a package
  • Using conda environments to run different versions of Python
  • Creating Virtual environments with venv
  • Running SciPy in a script
  • Running SciPy in Jupyter
  • Running SciPy in Spyder
  • Running SciPy in PyCharm