Machine learning and statistics with python

Before I start:   I am a thriving data scientist writing data science codes all day and I use pandas all day. And the most interesting thing about pandas is the large variety of optimized functions present to process and manipulate dataframes. So, I will compile the list of most used and necessary pandas functions and a small example of how to use it. The goal of this article is therefore to aid the beginners with the resources to write code faster, shorter and cleaner. Things you will learn in this post are: (1) Introduction (2) pandas basics (3) pandas read_csv (4) slicing data using pandas (5) pandas dataframe (6) pandas drop duplicate (7) pandas fillna (8) pandas merge (9) pandas concat Pandas introduction:  Pandas is written by Wes Mckinney, a great businessman and all time benevolent dictator for life for the open source project named pandas. The main github resource is pandas github . Pandas is mainly written in cython, a lang...