Summary

Python is a powerful language that will serve you well, regardless of your area of expertise. In this chapter, we discussed some of the most important concepts when working with the command line, such as creating directories, installing packages, and creating and editing Python scripts. We also discussed the Python programming language quite extensively. We reviewed some of the most commonly used IDEs, general data types, and calculations. We also reviewed some of the more complex data types such as lists, DataFrames, and JSON files. We also looked over the basics of APIs and making HTTP requests, and we introduced OOP with regard to Python classes. All of the examples we explored in this chapter relate to applications commonly discussed within the field of data science, so having a strong understanding of them will be very beneficial.

Although this chapter was designed to introduce you to some of the most important concepts in data science (such as variables, lists, JSON...