Introduction To Pandas
Table Of Contents:
- What Is Pandas ?
- Why To Use Pandas ?
(1) What Is Pandas?
- Pandas is an open-source Python library developed by Wes McKinney in 2008.
- Pandas provide a data container that is used to store 1D, 2D and 3D data.
- Pandas provide varieties of in-built methods, that can be used for data handling purposes.
- Like in SQL you write queries to retrieve and manipulate a dataset, similarly, you can use Pandas to do the operations in Python.
- Pandas is a well-known popular Python library, that Data Scientists are used for their data analysis activity.
- Pandas is an easy-to-learn library, so let’s get started.
(2) Why To Use Pandas ?
- Pandas make your life easier by providing different in-built methods, which you will use for data analysis.
- By Pandas you can perform multiple operations like,
- Data Retrieval.
- Data Filtering.
- Data Normalization.
- Merges and Joins.
- Data Visualization.
- Statistical Analysis.
- Data Conversions.
- Loading and Saving Data.
- And much more.
