Part-2

1. 1Install Jupyter Notebook using pip by running 'pip install jupyter' in your terminal
2. 2Set up a Google Colab account and create a new notebook
3. 3Compare the features of Jupyter Notebook and Google Colab, such as setup and installation, user interface, and collaboration tools
4. 4Run a sample code in both Jupyter Notebook and Google Colab to test their performance
5. 5Configure your Jupyter Notebook to use a specific kernel or environment

Data scientists and analysts can benefit from understanding the differences between Jupyter Notebook and Google Colab to choose the best tool for their projects. Developers and researchers can also use this comparison to decide which platform to use for collaborative work

💡 Jupyter Notebook and Google Colab have different strengths and weaknesses, and the choice between them depends on specific project needs

💡 Jupyter Notebook vs Google Colab: Which one is best for data science? 🤔