The only technical prerequisites are the dependencies and, of course, Python itself. The unique knowledge prerequisite is a basic Python language understanding. If you never worked with Python before and for some reason ended up here, it is highly recommended to read Python’s official Beginner’s Guide to Python before starting with this package.
Although ipeadatapy can be run in any kind of Python environment, since the package is all about data, it is recommended, for a better experience, to work with a notebook style interactive interpreter. The more convenient recommendation is to use Jupyter Notebook.
Jupyter Notebook is a web application for creating Jupyter notebooks. A Jupyter notebook is a JSON document containing an ordered list of input/output cells which can contain code, text, mathematics, plots and rich media. Jupyter notebooks can be converted to a number of open standard output formats (HTML, HTML presentation slides, LaTeX, PDF, ReStructuredText, Markdown, Python) through ‘Download As’ in the web interface and jupyter convert in a shell.