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Python has massive libraries and can be extensively used for data manipulation because of its open source software feature. Therefore it provides a great approach to object oriented programming. The main use of python in data science is for crunching data, data visualization and weather forecast in companies like Forecast watch analysis.
Use of Python in each stage of Data Science and Data Analysis:
1 In the first stage the main application of data science is for understanding the type of data one needs to work upon. This stage consumes a lot of energy and time therefore the kind of python libraries used here to do the pararell processing are Pandas and NumPy.
2 While in the second stage the main function is to do the data scrapping by shortlisting the data according to the requirement.
3 In the third stage we need to get the graphical representation of the shortlisted data by means of python libraries like Matplotlib and Seaborn.
4 The next step involves the process of machine learning and complex computational mathematics like calculus, probability and matrices over lakhs of rows and coloumns.

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