Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Appendix: Installation

This appendix covers the installation and setup of a Python environment for scientific computing on commonly used platforms. As discussed in Chapter 1 , the scientific computing environment for Python is not a single product, but rather a diverse ecosystem of packages and libraries, and there are numerous possible ways to install and configure a Python environment on any given platform. Python itself is rather easy to install, ¹ and on many operating systems, it is even preinstalled. All pure Python libraries that are hosted on the Python Package Index ² are also easily installed, for example, using pip and a command such as pip install PACKAGE , where PACKAGE is the name of the package to install. The pip software then ...