Only a few years ago in business schools, Excel was king. Fast forward to today, and notebooks are everywhere. A big reason for this is the trend of Data Science becoming normalized in the University setting. As result, a traditional statistics class only a few years ago would have used: Excel or Minitab, but today, often it is R or Python inside of a notebook technology.

Two of the main notebooks technologies are Jupyter and R Markdown. Colab notebooks are a flavor of Jupyter notebooks hosted by Google. You can see a #1minutetip on colab in the youtube video below

https://medium.com/media/4089b37e9a7e5452d4a341483ac49b1c/hrefKey Colab Notebook Features

A few of the key features of colab are:

Runtime is manage by Google (eliminates package management hell locally)Can use Google ML services like BigQuery and TensorFlowFreeCompatible with traditional Jupyter NotebooksIntegrated with GithubHas custom features like FormsGoogle colab formsMore Resources on Notebooks

If you want to discover more about colab notebooks, here are a few sources: buy a copy of Pragmatic AI, explore these four colab notebooks on machine learning, watch these videos on Machine Learning, and view more content the Pragmatic AI Labs site.

Colab Notebooks Primer was originally published in Pragmatic AI Labs on Medium, where people are continuing the conversation by highlighting and responding to this story.