Learn Python by Building Data Science Applications

Summary

In this chapter, we prepared our working environment for the journey ahead. In particular, we installed the Anaconda Scientific Python Distribution with Python 3.7.2, which includes all the packages we'll need throughout the course of this book. We also installed and learned about the basics of VS Code, which is a sophisticated and interactive development environment that will be our primary tool for writing arbitrary code, and Jupyter, which we use for experimentation and analysis. Finally, we discussed and even ran some code already! We did this in Jupyter, which is a coding environment that is perfect for prototyping, experimentation, analysis, and educational purposes.

In the next chapter, we'll begin our introduction to Python, ...