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How can we connect Colab to our local Jupyter Notebook server running on our laptop?

by EITCA Academy / Wednesday, 02 August 2023 / Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, Upgrading Colab with more compute, Examination review

To connect Google Colab to a local Jupyter Notebook server running on your laptop, you need to follow a few steps. This process allows you to leverage the power of your local machine while still benefiting from the collaborative features and cloud-based resources provided by Google Colab.

First, ensure that you have Jupyter Notebook installed on your laptop. If you don't have it, you can install it by following the official Jupyter documentation for your operating system. Once installed, open a terminal or command prompt and run the command "jupyter notebook" to start the local server.

Next, you need to expose the Jupyter Notebook server to the internet. This can be achieved by using a tool called ngrok. Ngrok creates a secure tunnel to your local server, allowing external access. To use ngrok, download and install it from the official website. Once installed, open a new terminal or command prompt and run the command "ngrok http 8888" (assuming your Jupyter Notebook server is running on the default port 8888). Ngrok will generate a unique URL that you can use to access your local server from anywhere.

After obtaining the ngrok URL, open a new Google Colab notebook. In the first cell, run the following code:

python
!pip install jupyter_http_over_ws
!jupyter serverextension enable --py jupyter_http_over_ws
!jupyter notebook --NotebookApp.allow_origin='https://colab.research.google.com' --port=8888 --NotebookApp.port_retries=0

This code installs the necessary package, enables the Jupyter server extension, and starts the server on port 8888. Make sure to replace the port number if your local server is running on a different port.

After executing the code in the first cell, a URL will be displayed. Copy this URL and paste it into a new cell, prefixing it with "https://colab.research.google.com/github/". For example, if the URL is "https://abcdef123.ngrok.io", you should enter "https://colab.research.google.com/github/https://abcdef123.ngrok.io" in the new cell.

Finally, run the cell containing the modified URL. This will establish a connection between Google Colab and your local Jupyter Notebook server. You can now access and run code on your local server directly from Google Colab.

It's important to note that this connection is temporary and will be lost if you close the ngrok session or restart your local Jupyter Notebook server. You will need to repeat the process to reconnect.

To connect Google Colab to a local Jupyter Notebook server running on your laptop, you need to install Jupyter Notebook, expose it to the internet using ngrok, install the necessary packages in Google Colab, and establish a connection by modifying and running the provided code. This allows you to combine the power of your local machine with the collaborative features of Google Colab.

Other recent questions and answers regarding Advancing in Machine Learning:

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  • What are the limitations in working with large datasets in machine learning?
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View more questions and answers in Advancing in Machine Learning

More questions and answers:

  • Field: Artificial Intelligence
  • Programme: EITC/AI/GCML Google Cloud Machine Learning (go to the certification programme)
  • Lesson: Advancing in Machine Learning (go to related lesson)
  • Topic: Upgrading Colab with more compute (go to related topic)
  • Examination review
Tagged under: Artificial Intelligence, Connection, Google Colab, Jupyter Notebook, Local Server, Ngrok
Home » Advancing in Machine Learning / Artificial Intelligence / EITC/AI/GCML Google Cloud Machine Learning / Examination review / Upgrading Colab with more compute » How can we connect Colab to our local Jupyter Notebook server running on our laptop?

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