The importance of Python in Data Science

These days programming languages gain importance when you are working in data science. I am a web developer and many students come up to me to have tutoring classes in many cases to work with python. The importance of python in data science is enormous because it´s a more readable programming language. Students need this logic to use in their analysis.

There are many examples of using python in data science such as regex that is used to read particularly parts of a text in big documents or creating worksheets that allow to manipulate big data. There a variety of useful things when you use python data science, for example when you need to create a PDF, you can use a python library called REPORTLAB, see link https://www.udemy.com/course/python-reportlab-from-beginner-to-winner/

In conclusion, Python is essential when you want to work in data science, so it means that you need to understand its logic and how useful it is to manipulate data.