Then persist changes to GitHub as you normally would using Git from your local repository. > We recommend editing these files **locally** (such as in Visual Studio Code) and then copying the contents into the Colab version as needed. However, they are not synced with GitHub. > Note: these files *are* persisted even when you close or reload the tab. Your notebook should now be able to import these custom dependencies. > Note: double-click on a file to open up an editor in Colab.Ĥ. Colab will not allow you to upload folders instead, upload each file in the folder and then create the directory structure manually by right clicking on the Files pane > New folder, then dragging files in: In your system file manager, find and select all files needed by your notebook. Click the "Upload to session storage" button (file icon with up arrow) under "Files"ģ. After importing the notebook following the steps in (#Opening-notebooks-from-GitHub), click the folder icon in the left sidebar:Ģ. If there are dependencies that the notebook imports, such as additional Python files, follow these steps to upload those files.ġ. If you close the Colab tab without saving, your changes will be lost. > Note: changes are not saved until you follow these steps. In order to save changes to GitHub, see: (#Saving-notebooks-to-GitHub) If there are dependencies (such as Beras in HW2), see (#Importing-custom-dependencies).ĥ. If there are no custom dependencies, such as Python files which are imported into the notebook, you can now run and edit the notebook. Jupyter Notebooks in the repository will be shown. The list may take some time to finish loading.įrom the dropdown list, select the correct repository and branch. You should now see your GitHub username populated, and there should be a dropdown list of certain repositories. A window will pop up prompting you to give Google Colab access to your GitHub. In order to open a notebook stored on GitHub (such as those for assignments):ġ. However, if you are having issues with your local setup, Google Colab is a good option as its runtime comes with most, if not all, required dependencies installed. We recommend using a local setup with Visual Studio Code, as custom dependencies can be imported without any additional effort, and you can use normal Git operations to save changes to GitHub. Many assignments will contain Jupyter Notebooks which you will need to fill out. Note that anything in your Google Drive begins with `/My Drive`, as shown above. If the path to your notebook is different, adjust accordingly. In the screenshot above, the path is for the default location (My Drive > Colab Notebooks). If this is the case, there will be a TODO at the beginning of the notebook where you will put the path to the directory containing the notebook and any imports: For example, () includes a `lab_utils.py` file adjacent to the Jupyter Notebook that must be imported. Some labs may require access to files in your Google Drive. If there are other files, such as `lab_utils.py` from Lab 1, you must make copies of them in the same folder as the notebook.ģ. You may need to install the Google Colaboratory add-on for Google Drive:īy default, the notebook will be copied to a folder called "Colab Notebooks" at the root of your Google Drive.įeel free to move it and rename it however, note that this will affect the path which you may need to add in the next step. In order to begin work on a lab, you must:ġ. Labs are stored as Jupyter Notebooks in Google Drive.
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