Creating an environment for data transformations using pip

Contrary to what you have seen with R engines, for which two separate installations of two engines with different versions was done, in the case of Python there is one single installation and only the environments vary.

Here, we will create an environment dedicated to data transformations and containing one of the Python versions made available by Miniconda along with a small number of packages essential to make the initial transformations. In general, it is best to avoid installing the latest versions of Python (especially if they were only released a few months ago), because often all the major packages you will use will take some time to be updated to support the latest versions.

First of all, you have to find the most recent version of Python present in the distribution you just installed:

1. Open Anaconda Prompt from the Start menu as shown previously.
2. If the prompt has small fonts, just right-click...