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Big Data Analytics / Numpy /Pandas/Part 1

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Big Data Analytics / Numpy /Pandas/Part 1

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What is a Python NumPy?

NumPy is a Python package which stands for ‘Numerical Python’. It is the core library for scientific computing, which contains a powerful n-dimensional array object, provide tools for integrating C, C++ etc. It is also useful in linear algebra, random number capability etc. NumPy array can also be used as an efficient multi-dimensional container for generic data. Now, let me tell you what exactly is a python numpy array.

What is Python Pandas?

Pandas is used for data manipulation, analysis and cleaning. Python pandas is well suited for different kinds of data, such as:

=>Tabular data with heterogeneously-typed columns
=>Ordered and unordered time series data
=>Arbitrary matrix data with row & column labels
=>Unlabelled data
=>Any other form of observational or statistical data sets

cite: https://www.quora.com/What-is-the-difference-between-NumPy-and-Pandas

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