![]() The end-result of using an ArcGIS Notebook snapshot is the same as reverting back to a manually saved Jupyter Notebook checkpoint-you get a point-in-time version of your notebook. ![]() ![]() Here is where the new ArcGIS Notebook snapshots might make your life a little easier… ArcGIS Notebooks: “Snapshots” If you want to restore “xxxx-checkpoint_1.ipynb” using the Revert to Checkpoint option, you have to rename it back to “xxxx-checkpoint.ipynb”.īottom line, it is possible to preserve multiple versions of your Jupyter Notebooks via checkpoints, but the process involves a lot of manual renaming and reorganization of files. The next time you save the Notebook, the “xxxx-checkpoint.ipynb” will be the new checkpoint, and the “xxxx-checkpoint_1.ipynb” will point back to the previous checkpoint. ipynb_checkpoints subdirectory, and rename the existing “xxxx-checkpoint.ipynb” file to something like “xxxx-checkpoint_1.ipynb”. To keep multiple checkpoints of your notebook, go to the. ipynb file, the previous checkpoint is overwritten. Note that the Revert to Checkpoint is pointing to the checkpoint file from the previous day.Įach time you manually save your notebook to update the checkpoint. ipynb file as the notebook you are working in, and the checkpoint.ipynb file as the one you can revert back to if needed. ipynb_checkpoints, which also contains the checkpoint.ipynb file in your save location. ipynb file and a hidden subdirectory named. When you create a new Jupyter Notebook, it creates an initial. If you are a Jupyter Notebook user, you may be familiar with the terms “Autosave” or “Checkpoint”. We can use snapshots to ensure that we can always come back to a clean version of our data and code. We as data scientists love to experiment, prototype, and try different things out, and the data science notebook experience is designed to facilitate this type of on-the-fly interaction. You may want to save your progress prior to running a risky procedure or experiment which may alter your input data.You may want to save your work after executing a lengthy process, such as training/saving a deep learning model, so that you don’t have to retrain the model again prior to using it for inferencing or making predictions.You may want to save your work at different phases or milestones of a project, especially in a large or complex notebook.Here are some examples of use cases for snapshots: Being able to restore your notebooks at any point in which you saved a snapshot of them can help you save time, stay organized, and prevent against data loss. Snapshots are point-in-time copies of your notebooks that you can easily revert back to at any time. In PowerShell, the same command would be: PS > jupyter nbconvert -to html -no-prompt -template classic 'Notebooks\Example Notebooks\example_notebook.In the April 2021 release of ArcGIS Online, we’ve added the ability to create snapshots of your ArcGIS Notebooks. Here is an example command in a notebook code cell: !Powershell.exe -Command "jupyter nbconvert -to html -no-prompt -template classic 'Notebooks\Example Notebooks\example_notebook.ipynb'" ![]() Be sure to execute the cells in your notebook with the desired output and save the notebook manually before executing these commands. Where we see 'Notebooks\Example Notebooks\example_notebook.ipynb' in this example, place the relative path for the notebook you would like to convert to HTML. See a complete list of options here: nbconvert | Using as a command line tool There are many options that can be passed to nbconvert. The instructions for installing nbconvert in your environment can be found here: Installing nbconvertĬonverting a Jupyter Notebook to HTML with nbconvert can be accomplished in PowerShell #powershell or in a code cell in the notebook itself. To start, we will need to export our Jupyter Notebook to HTML utilizing nbconvert, Visual Studio Code #visualstudiocode, or JupyterLab #jupyter. Here is a convenient work-around that will allow embedding the static output of a Jupyter Notebook using the Embed web part in a SharePoint page. Microsoft SharePoint Online #sharepointonline does not currently offer a way to render or embed Jupyter Notebooks #jupyternotebook (.ipynb). The Issue: Lack of Support for Jupyter Notebooks in SharePoint
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