Automatically mounting to your Drive files is now supported for Colab notebooks which aren’t shared by multiple people. To enable this for a notebook, create a new Drive notebook, open the file browser, and click the ‘Mount Drive’ button. You’ll see a permissions dialog like so: After you complete the permissions once, you’ll see your … Read more
If your Python file is in Drive, it’s likely simpler to mount your Drive than to upload the file, e.g., from google.colab import drive drive.mount(‘/content/gdrive’) Then, if you have a module, you can import it like so: https://colab.research.google.com/drive/1uvHuizCBqFgvbCwEhK7FvU8JW0AfxgJw Contents of the Notebook follow: Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code Enter your authorization code: … Read more
I’ve just found another method without using ssh. # Install jupyterlab and ngrok !pip install jupyterlab==2.2.9 pyngrok -q # Run jupyterlab in background !nohup jupyter lab –ip=0.0.0.0 & # Make jupyterlab accessible via ngrok from pyngrok import ngrok print(ngrok.connect(8888)) It will then show a JupyterLab URL http://f1fe6fb39df6.ngrok.io # for example You can click it to … Read more
I have found how to run Python 3.8 notebook on Colab. install Anaconda3 add (fake) google.colab library start jupyterlab access it with ngrok Here’s the code # install Anaconda3 !wget -qO ac.sh https://repo.anaconda.com/archive/Anaconda3-2020.07-Linux-x86_64.sh !bash ./ac.sh -b # a fake google.colab library !ln -s /usr/local/lib/python3.7/dist-packages/google \ /root/anaconda3/lib/python3.8/site-packages/google # start jupyterlab, which now has Python3 = 3.8 … Read more
You can also run the solution of mayurmadnani directly on Colab. Therefore create a new Python workbook in Colab and connect it to a runtime. Install the necessary packages into the virtual machine with: !apt-get install texlive texlive-xetex texlive-latex-extra pandoc !pip install pypandoc Mount your google drive to get access to your ipynb files from … Read more
Yup. Press control space (or command space, on a Mac) and autocomplete suggestions will appear.
Method using Google Colab only Download your .ipynb file You can actually do it using only Google Colab. File -> Download .ipynb Reupload it so Colab can see it Click on the Files icon on the far left: Then Upload to session storage: Select & upload your .ipynb file you just downloaded. Get your file’s … Read more
You need to mount google drive to your Colab session. from google.colab import drive drive.mount(‘/content/gdrive’) Then you can simply write to google drive as you would to a local file system like so: with open(‘/content/gdrive/My Drive/file.txt’, ‘w’) as f: f.write(‘content’)
Yep, the shortcut (Ctrl + M + L) works, other option is use the bar menu, at tool -> preference -> show line numbers Update: new path: Tools -> Settings -> Editor -> show line numbers
Since you can run bash command in colab, just run !nvidia-smi: