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## Introduction 👋
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### What is Pandas in Python?
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[![Pandas](https://img.shields.io/badge/Pandas-2C2D72?style=flat&logo=pandas&logoColor=white)](https://pandas.pydata.org/) is the most famous python library which is utilized for data analysis. Pandas render extremely optimized performance with back-end source code which is written totally in C or Python. Also, using pandas you can easily familiar with your data by cleaning, transforming, and analyzing it.
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[![Pandas](https://img.shields.io/badge/Pandas-2C2D72?style=flat&logo=pandas&logoColor=white)](https://pandas.pydata.org/) is the most famous python library providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, **real world** data analysis in Python. Additionally, it has the broader goal of becoming **the most powerful and flexible open source data analysis / manipulation tool available in any language**. It is already well on its way towards this goal.
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In Pandas, the data is usually utilized to support statistical analysis in SciPy, plotting functions from Matplotlib, and machine learning algorithms in Scikit-learn.
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