Pandas DataFrame is a 2D mutable data structure to store heterogeneous data in tabular form of labelled rows and columns.
Python programming language provides a wide range of libraries and modules extensively used by Data Science enthusiasts. The most basic yet quite useful ones are NumPy and Pandas (built on the top of NumPy), which assist in systematic analysis and manipulation of data. This article talks about ‘DataFrame’ – a crucial concept for working with Pandas library.
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In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
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