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BASE/tutorial: Jupyter in CoLab; getting started. by Robert Citek.
To borrow from Wikipedia, "Project Jupyter is a community run project with a goal to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages."
The name Jupyter is somewhat of a portmanteau of Julia, Python, and R, the three initial core languages. And one way to get started using Jupyter and experience "interactive computing" is by enabling and using Google's Colaboratory ( aka CoLab ), a free service available via Google Drive. CoLab is not a full Jupyter environment, but there's enough there that you can create Markdown documents, develop Python code, explore data, and even run shell commands.
In this talk I will show how to get started with CoLab and demonstrate some of its capabilities using excerpts from Scott Granneman's "Linux Phrasebook."
References:
- [https://en.wikipedia.org/wiki/Project_Jupyter](https://www.google.com/url?q=https://en.wikipedia.org/wiki/Project_Jupyter&sa=D&source=calendar&usd=2&usg=AOvVaw2qXUnm-GzWuP0Q0gJAzcRP)
- [https://colab.research.google.com/](https://www.google.com/url?q=https://colab.research.google.com/&sa=D&source=calendar&usd=2&usg=AOvVaw02nl7CPpltUxx7u_UrNfmO)
- [https://granneman.com/writing/books/linux-phrasebook](https://www.google.com/url?q=https://granneman.com/writing/books/linux-phrasebook&sa=D&source=calendar&usd=2&usg=AOvVaw1JEwVZjSYuwQ7b-jYFh9f2)
