This article is for only medical students. If you are a medical student please go forward otherwise…. Just kidding. The domain of healthcare always made me excited to learn and explore. It’s fun to analyze and visualise what is inside the human body. Going through the course “Introduction to neurohacking using R” not only gave me a wide perspective to think and analyse but also build my knowledge in neurohacking. There is no fun when you learn and don’t share your knowledge. Isn't it. In this article lets try to build our basics towards neurohacking using Python.

Table of Content


Python is a popular programming language used heavily in Data Science. In these articles, we will be covering all the basics which you should know before we go into how to use Python for Data Science. The concepts which we will be covering are:

  1. Introduction to Python.
  2. Data Structures.
  3. Conditions and Loops.
  4. Functions.
  5. Exceptions and File Handling.
  6. Regular Expression and Web scraping.
  7. Object-Oriented Programming(OOPS).

Once we are done with the topics mentioned above, we are gonna learn the three important libraries. These libraries are:

  1. NumPy.
  2. Pandas.
  3. Matplotlib.

To make it easier to read, learn and practice, I’ll break down these…

Mohammed Ameen

Data Science enthusiast-Love reading books and exploring different cultures.

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