Starter files to initialize the smart sales project.

Since we use external packages, follow these steps carefully:

1. Pull any recent changes from GitHub.
2. Create a virtual environment.
3. Activate the .venv.
4. Install base tools.
5. Install external packages from requirements.txt.
6. Run scripts/data_prep.py.

• Your raw data files must be in the data/raw directory. See Module 1 for more.
• See pro-analytics-01 for detailed instructions on professional Python projects workflow.
• For a complete setup guide, visit pro-analytics-01.
• See requirements.txt for a concise version of the professional setup workflow.

• Run all commands from a terminal in the root project folder.
• Run each command one at a time and wait for it to finish before continuing.

Open your smart sales repository in VS Code. Run all commands from a terminal in the root project folder.

git pull
python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install --upgrade pip setuptools wheel
python3 -m pip install --upgrade -r requirements.txt --timeout 100
python3 scripts/data_prep.py

Open your smart sales repository in VS Code. Run all commands from a PowerShell terminal in the root project folder.

git pull
py -m venv .venv
.venv\Scripts\activate
py -m pip install --upgrade pip setuptools wheel
py -m pip install --upgrade -r requirements.txt --timeout 100
py scripts/data_prep.py

Once you’ve verified the script ran successfully, git add, commit, and push changes to your GitHub repository.

git add .
git commit -m "ran initial data_prep.py"
git push -u origin main

For best results, git add-commit-push frequently after making any useful progress.