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Pandas python

Pandas is a powerful open-source library in Python that is primarily used for data manipulation and analysis. It is built on top of the NumPy library and provides two key data structures: Series and DataFrame. The Series is a one-dimensional labeled array that can hold various data types, including integers, floats, and strings, making it similar to a single column in an Excel sheet ²³.

The DataFrame, on the other hand, is a two-dimensional data structure that organizes data in a tabular format with rows and columns. This structure allows for more complex data manipulation and analysis, as it can handle different data types across its columns and perform arithmetic operations ⁵. Pandas is widely used in various fields, including finance, economics, and data science, due to its high performance and ease of use ⁵.

To get started with Pandas, you typically need to install the library and import it into your Python environment. The basic command to initialize Pandas is import pandas as pd.

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