Python Tools for Scientists

PART I SETTING UP YOUR SCIENTIFIC CODING ENVIRONMENT

In Part I, you’ll create a scientific coding environment to build upon for years to come. You’ll start by installing Anaconda, a distribution of Python that works on Windows, macOS, and Linux and provides access to the science libraries we’ll use in this book. You’ll then learn to use the conda package and environment manager to keep your projects organized and up to date. After that, you’ll familiarize yourself with the popular coding tools Jupyter Qt console, Spyder, Jupyter Notebook, and JupyterLab.

These coding tools help you write code, run code, and review the output, and are summarized in Table I-1. If you’re unsure of the meaning of any of the terminology in the table, see the “Terminology” ...