Share and Collaborate on Colab and Jupyter.org in Under 10 Minutes!

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How to Contribute to This Repository

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How to run Jupyter notebooks online

Watch the YouTube tutorial

https://youtu.be/fOUng7fMQ1Y

Overview

This repository is based on the YouTube video Share and Collaborate on Colab and Jupyter.org in Under 10 Minutes! from the AI Software Developer channel. The video provides a concise guide for transitioning between local and online Jupyter Notebook environments, enabling seamless collaboration and execution across platforms like VS Code and Google Colab.

Features

• Local Jupyter Notebook Creation: Learn how to create, write, and execute Jupyter Notebooks in VS Code.
• Notebook to Python Script Conversion: Export Jupyter Notebooks to Python scripts and execute them locally in VS Code.
• Google Colab Integration: Upload and run Jupyter Notebooks on Google Colab with ease.
• Seamless Transition: Switch between local and online workflows effortlessly, creating and executing notebooks in both environments.

Why This Project is Useful

This repository serves as a practical resource for developers and data scientists who need to:

• Transition between local development and online execution seamlessly.
• Collaborate with team members using shared platforms like Google Colab.
• Enhance productivity by leveraging the flexibility of Jupyter Notebook and Python script workflows.

Getting Started

Prerequisites

• Install VS Code with the Jupyter extension.
• Set up a Google Colab account.

Steps

1. Create a Jupyter Notebook Locally

   • Open VS Code and create a new .ipynb file.
   • Write and execute code using the chosen kernel.
   • Example: Generate a bar chart of the first 10 Fibonacci numbers using code from GitHub Copilot.

2. Export the Notebook to a Python Script

   • Use the export function in VS Code to save the notebook as a .py file.
   • Run the exported script locally in the VS Code terminal to verify consistent output.

3. Run the Notebook Online (Google Colab)

   • Upload the Jupyter Notebook to Google Colab.
   • Execute the notebook using the "Run all" command, ensuring consistent results.

4. Reverse Workflow: Colab to Local

   • Create a new notebook in Google Colab.
   • Download the notebook in .ipynb format.
   • Open and execute the notebook locally in VS Code.

Help and Support

If you encounter issues or have questions, feel free to open an issue in this repository, ask a question on the Discord sever or refer to the Google Colab Documentation.

Summary

This repository showcases the flexibility and efficiency of transitioning between local and online Jupyter Notebook environments. By following the steps and workflows demonstrated, you can enhance your productivity and collaboration with tools like VS Code and Google Colab.

Thank you

Thank you for contributing to this repository! Your efforts help create a valuable resource for the AI community. If you have any questions, feel free to reach out via our Discord sever or open an issue in this repository. Let’s build a strong AI community together!