Reproduction

An important piece of research is sharing and making your research reproducible. It is often said that if other researchers cannot reproduce your experiment and results, then you didn't prove a thing.

Fortunately, for you, by having used pandas and Python, you will be able to easily make your analysis reproducible. This can be done by sharing the Python code that drives your pandas code, as well as the data.

Jupyter notebooks also provide a convenient means of packaging both the code and application in a means that can be easily shared with anyone else with a Jupyter Notebook installation. And there are many free, and secure, sharing sites on the internet that allow you to either create or deploy your Jupyter notebooks for sharing.