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Introduction To Pandas
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.
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Pandas Syllabus
Pandas Syllabus Introduction To Pandas? How To Install Pandas? Verifying All Good. How To Check Pandas Version? How To Create Pandas Object? How To View Top and Bottom Records In Pandas DataFrame? How To Display index, columns, and values In a DataFrame? How To Show Static Summary Of Your DataFrame? How To Transpose Your DataFrame? How To Sort DataFrame Based On An Index? How To Sort DataFrame Based On Values? How To Select A Single Column Value In A DataFrame? How To Select Records Using []? How To Select Records Using loc? How To Select Records Using iloc? How To
