Data Wrangling with Pandas
Data wrangling is the practice of converting data from a "raw" form into a user-ready form for descriptive analytics and provide feed for other horizons of analytics such as predictive analytics.
Pandas is a data-centric package(library) of Python eco-system for importing, manipulating, managing and analyzing data. This library was originally built on NumPy, the fundamental library for scientific computation in Python.
*A Data Frame is a two-dimensional data structure. We can perform many operations on these datasets such as arithmetic operation, columns/rows selection, columns/rows addition etc.
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