While I did research at university I worked mostly with quantitative data and did all analysis either in SPSS (a very small part) and R. R is a powerful tool yet comparable easy to learn (with basic knowledge about programming). But I found its limiting in the ability to create interfaces. One could, rightfully, argue its not its purpose. This limitation in mind brought my interest to python.

Python offers many ways to create interfaces, such as via Django or Qt, and even an option to write a macro for LibreOffice. All this additional to its capabilities for data analysis with ever increasing frameworks. The pandas module is quite similar to R, of course with a different syntax. As a memory and quick guide I summarised basic functions for data import/export, cleaning, and structuring in a cheat sheet.

Download here: Pandas cheat sheet v1 080824