numpy

Introduction Saving time for cleaning, tidying and processing data is quite useful in data science. It means that you can get more time to analyses and think about solutions. If I working Data Science with Python, usually I am using Pandas and Numpy library. It is a great library with a lot smart functions. However, sometimes I forget some functions and write my own functions to solve calculations. For practicing it is cool, but it spends some time.