This repository contains the tutorials and solutions of the Excercises of Pandas Course on Kaggle by Aleksey Bilogur

Pandas is a great Python package mainly used for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

This repository contains almost all you need to know about Python-Pandas to begin with Data Science and Analytics. The repository contains 6 Tutorials each followed by an Excercise. The readers are suggested to try the Excercises at least twice, before jumping to the solutions. The order in which one should follow is,

1. Creating, Reading and Writing
2. Indexing, Selecting and Assigning
3. Summary Functions and Maps
4. Grouping and Sorting
5. Data Types and Missing values
6. Renaming and Combining

It also contains a Cheatsheet from DataCamp, which will be useful for quick revision once you complete the above tutorials and excercises.