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Leveraging Open Infrastructure with Jupyter Notebook to teach Python during Pandemic

Kevin Naik

Audience level:

Brief Summary

We are leaving in times of uncertainty where all educational institutes are trying to teach students by means of online learning. The limitation in terms of computation for various complex algorithm can be overcome by using infrastructure-as-a-service and Jupyter notebook. The idea is to encourage the students to solve complex programming problems at home.


In modern world where internet is everywhere and use of is growing. The people in industry as well as academics are using tools like Jupyter on regular basis. The talk address one such combination for students who likes to experiment, learn new tools which in return may help them to build their career. Moreover, the current situation it has become difficult for students to gather in computer lab for experiment or different purpose, so the gist of the talk is to introduce tools which will require only internet and browser.

Objective - Exploring the tools available on the Internet. - Spreading awareness of tools useful for students, researchers and instructors. - Learn various possible tools and again skill set for industry.

Outline - Few of the issues that students can overcome by using Open source tools. - Equip audience with some tools to overcome limitations of computational resources. - Encourage audience to solve complex problems using open source tools.

Key Takeaways - Learn how to deploy Jupyter notebook using open sources tools. - How to prepare the documents or reports on notebook.

Resources - https://mybinder.readthedocs.io/en/latest/index-getting-started.html - https://jupyter.org - https://docs.github.com/en - https://jupyter-notebook.readthedocs.io/en/stable/examples/Notebook/Working%20With%20Markdown%20Cells.html