Uploading Jupyter Notebooks to Jovian¶
Step 1: Import
jovian by running the following command within a Jupyter notebook.
Step 2: After writing some code, running some experiments, training some models and plotting some charts, you can save and commit your Jupyter notebook.
When you run
jovian.commit for the first time you’ll be asked to provide an API key, which you can get from your Jovian.ml (or Jovian Pro) account.
It saves and uploads the Jupyter notebook to your Jovian.ml (or Jovian Pro) account.
It captures and uploads the python virtual environment containing the list of libraries required to run your notebook.
It returns a link that you can use to view and share your notebook with friends or colleagues.
For more features of
jovian.commit and API reference visit Commit.
In certain environments like JupyterLab and password protected notebooks,
jovian may not be able to detect the notebook filename automatically. In such cases, pass the notebook’s name as the
nb_filename argument to
Benefits of Jovian¶
Easy sharing and collaboration: Just copy the link to share an uploaded notebook with your friends or colleages. Your notebooks are also visible on your profile page, unless you mark them Secret. You can also add collaborators and let others contribute to your project (learn more).
Cell-level comments and discussions: Jovian’s powerful commenting interface allows your team to discuss specific parts of a notebook with cell-level comment threads. Just hover over a cell and click the Comment button. You’ll receive an email when someone comments on your notebook, or replies to your comment.
Jovian automatically captures Python libraries used in your notebook, so anyone (including you) can reproduce your work on any computer with a single command:
jovian clone. You can also use the ‘Run’ dropdown on the Jovian notebook page to run your notebooks on free cloud GPU platforms like Google Colab, Kaggle Kernels and BinderHub.
This is just a small selection of features that Jovian offers. Continue reading by clicking the
Next -> button to learn more, or use the sidebar to jump to a specific section.