PANDAS:
Is an open source, BSD-licensed library providing
high-performance, and easy-to-use data structures and data analysis tools for
the PYTHON
programming language. The Pandas module is used for working
with tabular data. Pandas provide us with some powerful objects
like Data Frames and Series which are very useful for working with and
analyzing data.
NUMPY:
The Numpy module is mainly used for working
with numerical data. The data manipulation capabilities of pandas are
built on top of the numpy library. In a way, numpy is
a dependency of the pandas library. ... Numpy is
most suitable for performing basic numerical computations such as mean, median,
range
MATPLOTLIB:
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