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
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