Datafun-04-Jupyter

Project Setup

This repository is for the Datafun-04-Jupyter project, which involves setting up a virtual environment and managing project dependencies.

Steps Completed

1. Repository Created:

   • Created the GitHub repository with the name datafun-04-jupyter.
   • Added a default README.md file.

2. Repository Cloned:

   • Cloned the repository to the local machine using the command:

     git clone https://github.com/brandonjbbb/datafun-04-jupyter

3. Project Opened in VS Code:

   • Opened the cloned project in Visual Studio Code.

4. .gitignore File Created:

   • Added .gitignore file to ignore unnecessary files and folders:

     .vscode/
     .venv/
     

5. Virtual Environment Created:

   • Created a virtual environment with the command:

     python -m venv .venv

6. Virtual Environment Activated:

   • Activated the virtual environment:
     • Windows:

       .\.venv\Scripts\activate

     • macOS/Linux:

       source .venv/bin/activate

Notes

• The .gitignore file ensures that temporary files and virtual environment directories are not tracked in Git.
• The virtual environment keeps the project dependencies isolated.

Next Steps

• Add project dependencies to requirements.txt.
• Continue development and commit changes regularly.

How to Install and Run the Project

This section describes the steps to set up the project environment, install dependencies, and start Jupyter Lab.

1. Set Up the Virtual Environment

• Create a virtual environment in the project folder:

  python3 -m venv .venv