Metadata-Version: 2.4
Name: datascience_folder_structure
Version: 0.1.2
Summary: Add your description here
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: path>=17.1.1
Requires-Dist: python-dotenv>=1.2.1
Requires-Dist: sqlalchemy>=2.0.48
Requires-Dist: toml>=0.10.2
Dynamic: requires-python

## Data Science Folder Structure Setup

1. This was developed for creating a Python folder to start a data science project.

2. It includes preconfigured connections to different systems:
   - uv  
   - git  
   - GitHub workflow  
   - .gitignore  

3. It also provides small code snippets for connecting to other systems.

4. Below are some of the systems included, along with additional setup steps to get them working:
   - logging  
   - SQL  
   - src  
   - config  
   - pre-commit hook  
   - .gitignore  
   - git  
   - GitHub workflow  
   - uv  
   - env  
   - validation  
   - testing  
   - requirements.txt  
     - Install dependencies with: `uv install requirements.txt`

5. Install the package:
   ```bash
   pip install datascience-folder-structure
6. Create a folder structure:
   ```bash
   createdatasciencefolder NameOfProject
