How is Python used for data analysis?

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Python is widely used for data analysis due to its rich ecosystem of libraries and tools specifically designed for this purpose. Here's how Python is used for data analysis:

Data Manipulation: Python provides powerful libraries like Pandas that offer flexible data structures and functions for efficient data manipulation. You can load, clean, transform, merge, and reshape data using Pandas, making it easy to prepare data for analysis.
Numerical Computing: Python's NumPy library provides a foundation for numerical computations and mathematical operations on large arrays of data. It offers efficient data storage and fast array processing capabilities, enabling advanced mathematical operations and statistical calculations.

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