Made w ⚡️ by Juan & ChatGPT

What is Pandas?

Pandas is a software library written for Python.

It’s made for data manipulation and analysis.

Gives you tools to organize and analyze data.

• Reading and Writing
• Helps w Cleaning and preprocessing
• Indexing and selection of data
• Formatting and Grouping
• Visualization in combination with Matplotlib or Seaborn.

Use-Case Scenarios?

Widely used in data science, data analysis, and machine learning tasks.

How?

Pandas makes use of data structures.

1. Series
2. DataFrame
3. Panel

• A Series is a singlular column of data.
• A Dataframe is a combination of multiple Series of data**.**
• A Panel is comprised of multiple DataFrames; Multiple Sheets

We can read data from differing file formats such as CSV, SQL Databases, Excel in order to write data in the formats of those data structures.

We can also write data in formats of those data structures in order to generate CSV files.

Resources

[pandas for Data Science: Part 1](https://medium.com/data-science-365/pandas-for-data-science-part-1-89bc231b3478#:~:text=The most widely used pandas,Panel can have many DataFrames.)

Learning Pandas? Start here.