Import Jupyter Notebook from GitHub
To import a Jupyter Notebook from GitHub (or any other place on the Internet), you need to:
- Download the file.
- Run it in Jupyter.
I created an example Jupyter Notebook that can be imported and pushed it to a git repository: https://raw.githubusercontent.com/mikulskibartosz/to_be_imported/master/to_be_imported.ipynb
The file contains one function. The function prints “Hello, World!” when called. The second cell of the notebook calls the function, so after importing it, we should see “Hello, World!” printed in Jupyter.
In another file, I wrote the following code:
1 2 !curl -O https://raw.githubusercontent.com/mikulskibartosz/to_be_imported/master/to_be_imported.ipynb %run to_be_imported.ipynb
The first line downloads the file and stores it in the file indicated by the URL. The second line imports the file to Jupyter Notebook.
Parsing machine learning logs with Ahana, a managed Presto service, and Cube, a headless BI solution
Check out my article published on the Cube.dev blog!
If you import a file while running Jupyter Notebook on your machine (not in a Kaggle kernel or some other dockerized environment), the imported code will be executed on your machine!
The imported notebook has access to your files (can delete, modify or upload them somewhere). It may also contain code which downloads an executable file and runs it on your machine. Be careful ;)
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- Data/MLOps engineer by day
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- Twitter: @mikulskibartosz