Complete Practical Pandas Tutorial (Simplified Version With Demos)

This is a Complete Simplified Practical Pandas Tutorial for Data Science and Python Programmers using Jupyter Notebook.

The following is covered:
1. Introduction to Pandas with Jupyter Notebook
2. Creating a Dictionary variable
3. Creating a DataFrame from the Scratch
4. Reading Data from a CSV
5. Reading Data from JSON, Excel
6. Viewing Your Data(head and tail methods)
7. Getting Information about your data
8. Data Cleaning - Handling Duplicates
9. Data Cleaning - Managing Missing Values