Since there's going to be code associated with this book and sample data that you need to get as well, let me first show you where to get that and then we'll be good to go. We need to get some setup out of the way first. First things first, let's get the code and the data that you need for this book so you can play along and actually have some code to mess around with. The easiest way to do that is by going right to this - Getting Started.

In this chapter, we will first install and get ready in a working Python environment:

• Installing Enthought Canopy
• Installing Python libraries
• How to work with the IPython/Jupyter Notebook
• How to use, read and run the code files for this book
• Then we'll dive into a crash course into understanding Python code:
• Python basics - part 1
• Understanding Python code
• Importing modules
• Experimenting with lists
• Tuples
• Python basics - part 2
• Running Python scripts

You'll have everything you need for an amazing journey into data science with Python, once we've set up your environment and familiarized you with Python in this chapter.