Lecture 38 | Pandas Library | KNC 302/402 #python @c4yourselfyt

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✳️ About the video
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In this video we will learn about Introduction to Pandas Library in Python, Key Features of Pandas, Benefits of Pandas, Pandas Series, Pandas DataFrames.

Introduction to Pandas Library in Python:
Pandas is an open-source data analysis and manipulation tool built on top of the Python programming language, providing flexible and powerful data structures.

Key Features of Pandas:
It offers data structures like Series and DataFrame, supports missing data, provides robust data alignment, and has extensive functionalities for data aggregation, filtering, and visualization.

Benefits of Pandas:
Pandas streamlines data cleaning, visualization, and analysis, integrates seamlessly with other libraries in the Python ecosystem, and significantly boosts productivity by handling large datasets efficiently.

Pandas Series:
A Series is a one-dimensional labeled array capable of holding any data type, akin to a column in a spreadsheet or a vector in mathematical terms.

Pandas DataFrames:
DataFrame is a two-dimensional, size-mutable, and heterogeneous tabular data structure with labeled axes (rows and columns), similar to a spreadsheet or SQL table, and is the most commonly used Pandas object.

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