jupyter notebook python tutorial github
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Jupyter Notebook is a powerful interactive tool widely used in data science, machine learning, and scientific computing. It allows you to create and share documents containing live code, equations, visualizations, and narrative text. In this tutorial, we will explore how to use Jupyter Notebooks with Python, and we will integrate GitHub for version control and collaboration.
Python and Jupyter Notebook Installation:
Ensure that you have Python installed on your machine. You can install Jupyter Notebook using the following command:
GitHub Account:
Create a GitHub account if you don't have one. You will use it to store and manage your Jupyter Notebook files.
Open your terminal and navigate to the desired directory. Run the following command to start a new Jupyter Notebook:
This will open a new tab in your web browser with the Jupyter Notebook interface. Click on "New" and choose "Python 3" under "Notebook" to create a new notebook.
Jupyter Notebooks consist of cells that can contain code, text, or visualizations. Write your Python code in the code cells, and press Shift + Enter to execute the code.
You can use Markdown cells to add documentation to your notebook. Click on "Cell" in the menu, then select "Markdown" to create a new Markdown cell.
Save your notebook by clicking on the floppy disk icon or pressing Ctrl + S (Cmd + S on macOS).
If you don't have a Git repository for your project, navigate to your project directory in the terminal and run:
Create a .gitignore file in your project directory to specify files and directories that Git should ignore. For Python projects, you can use a template like this.
After making changes to your Jupyter Notebook, save the notebook file and commit your changes:
Go to GitHub, log in, and create a new repository. Follow the instructions to push your local repository to GitHub.
After making changes to your notebook, save it, and commit the changes using Git:
Push the changes to GitHub: