python

As a Data Scientist you will be spending a large chunk of your time doing repetitive work across projects. You get a new data set and you run the same boilerplate code for your analysis: Import data, check for missing values, distribution check, cleansing, yada yada … I know, datasets are very different yet I still see how often times the very same steps are repeated blindly in notebooks over and over again....