Demo Guide - Lecture 3: NumPy Arrays and Data Science Tools

Demo 1: Assignment 02 Walkthrough

Part 1: Git Workflow Setup

1. Set up the following branch structure:
   • main branch (initial commit)
   • feature/project-scaffold branch
   • feature/data-processing branch
2. Develop features on separate branches
3. Merge branches back to main
4. Create comprehensive documentation

Deliverables:

• Repository with proper branch structure
• At least 3 commits per branch with meaningful messages
• Successful merge of both feature branches to main
• Professional README.md with project overview

1a. Repository Setup

# Create new repository (separate from assignment folder)
mkdir datasci-week02-integration
cd datasci-week02-integration
git init

# Create initial README
# (Students can follow README template from assignment)
git add README.md
git commit -m "Initial commit: Add project README"

# Verify first commit
git log --oneline

1b. Feature Branch for Project Scaffold

# Create branch for Part 2 - CLI automation script
git checkout -b feature/project-scaffold

Part 2: CLI Project Scaffold Script

Objective: Create a shell script that automates project setup.

Tasks:

1. Create setup_project.sh from scratch with the following functionality:
   • Create directory structure (src, data, output)
   • Generate initial files (.gitignore, requirements.txt)
   • Create sample data files (students.csv with at least 8 records)
   • Set up Python template files with TODO placeholders