Before wrapping up this chapter, let's explore the different Python packages required with data analysis and validate they are available to use in the Jupyter Notebook app. These packages have evolved over time and are open source so programmers can contribute and improve the source code.
The version of the Python packages will increment over time depending on when you install conda or pip (package manager) on your machine. If you receive errors running commands, validate they match the versions used in this book.
We will go into more depth about each individual package as we use their awesome features in future chapters. The focus in this chapter is to verify the specific libraries are available, and there are a few different approaches to use such as inspecting the installation folder for specific files on your workstation or running commands from a Python command line. I find the easiest method is to run a few simple commands in...
