Data Science with Python for Beginners

This is a series of articles for getting started with Python and Data Science. This series assumes you have some familiarity with computers and programming. It will introduce beginners into the world of data science programming with Python.

  1. Hello World – Install Python on your computer, and write your first program. Install Jupyterlab on your computer and create your first Jupyter notebook (formerly called IPython notebook)
  2. Python Basics 1 – Learn the basic Python required for getting started with Data Science. Although Python is a full fledged programming language which could take much longer to master, the concepts introduced here is enough to start using data science
  3. Python Basics 2 – Continuation of the previous part. Introduces some more Python concepts. This and the previous article can be considered as quick start to the Python language. Again, there is much more to the Python language, but this is enough to start.
  4. Basic Modules – A descriptive introduction to four fundamental modules in Python, that cover a significant area of data science programming. If you have an idea of what Numpy, Pandas, Matplotlib and Scikit-learn are, then you can skip this.