Pandas is a Python library designed for handling datasets, offering functions for analyzing, cleaning, exploring, and manipulating data. The name “Pandas” is derived from “Panel Data” and “Python Data Analysis,” and it was created by Wes McKinney in 2008.
Pandas enables the analysis of large datasets and drawing conclusions based on statistical principles. It can clean messy datasets, transforming them into readable and meaningful formats. Having relevant data is crucial in data science.
| Data Science is a field of computer science focused on how to store, utilize, and analyze data to extract meaningful insights from it. |
Pandas helps you derive insights from data, such as:
Pandas can also remove irrelevant rows or those with incorrect values, such as empty or NULL values, a process known as data cleaning.
