Pandas

 

Pandas is a software library written for the Python Programming Language for Data Manipulation and Analysis.
In particular, it offers Data Structures and Operations for Manipulating Numerical Tables and Time Series.
It is free software released under the Three-Clause BSD License 

What Is Pandas?

• Pandas is a library for Data Analysis.

• Extremely powerful table (DataFrame)  system built off of NumPy.
  

What Can We Do With Pandas?

• Tools For Reading And Writing Data Between Manay Formats.

• Intelligently Grab Data Based On Indexing, Logic, Subsetting and More.

• Handle Missing Data.

• Adjust and Restructure Data.

Section Goals:

1. Series and DataFrames
2. Conditional Filtering and Useful Methods
3. Missing Data
4. Group By Operations
5. Combinig DataFrames
6. Text Methos and Time Methods
7. Input and Outputs

Series:

• A Series is a Data Structure in Pandas that holds an Array of Information along With a Named Index.

• The Named Index Differentiates this from a Simple NumPy Array.

• Formal Definition: One-Dimentional ndarray with Axis Labels.