Why and How to adopt Python for data science?

There are of course two questions in the title we will try to find answers to then one by one; starting obviously with the ‘why’. Let us get to the points straight away. Python is simple and scalable The language was designed to be fun to use and consequently simple. It uses a very simple syntax and it is quite fault-tolerant. This saves a fair bit of the debugging time when it comes to coding with Python. Now, coming to scalability; a Python-based framework Django is run by Instagram. They…

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