Welcome to the World of Python!

This is a crash course in Python, with Jupyter Notebook as the User Interface (IDE). I hope you'll like the experience.

Python is a fun language to learn, and really easy to pick up even if you are new to programming. In fact, quite often, Python is easier to pick up if you do not have any programming experience whatsoever. Python is a high level programming language, targeted at students and professionals from diverse backgrounds.

Python has two flavors -- Python 2 and Python 3. This set of examples are in Python 3, written and executed in the beautifully simple IDE Jupyter Notebook. Note that Jupyter sets up a localhost:8888 server to render the notebook in your computer's browser. It can render anything thereafter -- should be fun! Once you are familiar with the Jupyter Notebook environment, and the basic Python syntax in Module 0, feel free to explore the rest of the Python Modules.

Module 0 : Python in Jupyter
Module 1 : Data Types in Python
Module 2 : Data Structures in Python
Module 3 : Conditions and Loops in Python
Module 4 : Functions and Modules in Python
Module 5 : Computing with Python

To get the most out of this crash course, you'll need to download and use the Jupyter Notebooks for individual Modules, posted in this repository. Before you do that, prepare your computer by installing the following.

Core Engine : Python 3.7 (https://www.python.org/)
Package Manager : MiniConda (https://conda.io/miniconda.html)
User Interface (IDE) : Jupyter Notebook (install using Conda)

In case installing the above three is too difficult or confusing for you, you may also download and install the full Anaconda (https://www.anaconda.com/) package for Python 3.7.

This set of introductory material for Python is heavily inspired from two wonderful lecture series in Python, as follows.

• Python4Maths by Andreas Ernst : https://gitlab.erc.monash.edu.au/andrease/Python4Maths
• Python Lectures by Rajath Kumar : https://github.com/rajathkmp/Python-Lectures

Highly recommended : Python 3 Cheat Sheet by Laurent Pointal. This 2-pager is a life-saver -- print and frame it!

License Declaration : Following the lead from the inspirations for this material, and the spirit of Python education and development, all modules of this work are licensed under the Creative Commons Attribution 3.0 Unported License.