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In this video on NumPy and Pandas Tutorial, you'll learn how to perform data analysis with Python libraries. You'll look at the different functions available in NumPy and Pandas and how you can use it to clean, manipulate, arrange, sort and analyze data.

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What are NumPy and Pandas?
NumPy or Numerical Python, is a Python library for numerical computation. It consists of multidimensional array objects and a collection of routines for processing those arrays. NumPy operations are divided into three main categories: Fourier Transform and Shape Manipulation, Mathematical and Logical Operations, and Linear Algebra and Random Number Generation.

Pandas is a data analysis and data manipulation library in Python. Pandas provides various data structures, operations and functions for manipulating numerical and time series data.

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