Colab Notebooks Primer
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
Key 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 TensorFlow
- Free
- Compatible with traditional Jupyter Notebooks
- Integrated with Github
- Has custom features like Forms
More 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.
