- Json file
- You need a tool to "see" this file as as set of cells, either text or code cells
- It is language agnostic and it supports execution environments (aka kernels) in several dozen languages among which are Julia, R, Haskell, Ruby, and Python
- When you run a notebook, you create a session
- You can create and share documents/notebooks that contain live code, visualizations and narrative text.
- Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows you to run jupyter notebook, so you can write and execute python live code in the browser.
- It is especially well suited to machine learning, data analysis and education.
- Offers GPU and TPU
- how to create a notebook?
- how to run a notebook at colab?
- Lesson dynamic: student needs only to save/push the notebook file
- Walkthru project and Milestone dynamic: student needs to push files from session to repo; and save notebook file
- how to connect a colab session to the repo? (so you can push files and save notebook changes)
- in reality we are providing a notebook template with the code for cloning/connecting, the student would copy and past this template and rename it
- how to push a file from colab session to repo?
- how to save a notebook at colab?
- see lesson format example
- see challenge section
- open notebook as raw file and look for "challenges" cell