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## Introduction 👋
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Functions
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### What is Pandas in Python?
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The most famous python library which is utilized for data analysis is called Pandas. 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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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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### Core Components of Pandas Data Structure
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Pandas have two core data structure components, and all operations are based on those two objects. Organizing data in a particular way is known as a data structure. Here are the two pandas data structures:
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* **Series**
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* **DataFrame**
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## Table of contents 📋
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[pokemon_data.csv](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/pokemon_data.csv)
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[Python_Pandas_Methods](https://github.com/milaan9/10_Python_Pandas_Module/tree/main/001_Python_Pandas_Methods)
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[Python_Pandas_Methods:](https://github.com/milaan9/10_Python_Pandas_Module/tree/main/001_Python_Pandas_Methods)
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[001_Python_Pandas_DataFrame_from_Dictionary](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/001_Python_Pandas_DataFrame_from_Dictionary.ipynb)

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