Applied Computational Thinking with Python - Second Edition

16

Using Computational Thinking and Python in Statistical Analysis

In this chapter, we will use Python and elements of computational thinking to solve problems that require statistical analysis algorithms. We will use pandas DataFrames to create statistical analysis algorithms within the Python environment. Additional packages in Python will be needed to create statistical analyses, such as numpy, pytz, and more. We will use those packages when they are needed for the code we will work with and when learning what the libraries help us do, such as organizing data with pandas, for example.

In this chapter, we will cover the following topics:

• Defining the problem and Python data selection
• Preprocessing data
• Processing, analyzing, and summarizing ...