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Introduction to Python Libraries: NumPy & Pandas by Shakshi ranawat is a document available to read on EtoBox.

The document discusses Python libraries for data analysis and scientific computing. It focuses on NumPy, which stores multidimensional arrays for fast calculations. NumPy can be installed via pip and contains modules like array for working with numerical data. Pandas is also discussed as it allows easy data manipulation and visualization. Pandas contains Series and DataFrame objects to organize data and uses NumPy and Matplotlib for calculations and plotting.

Author
Shakshi ranawat
Language
EN