Git for Scientific Projects

Interactive Explorer 1

Explore key concepts interactively

Parameters

Quick Check

Key concept question for section 1?

Option A

Option B

Option C

Correction:
Option B

This is the correct answer because it captures the core concept.

Common Mistake: Common Mistake in Section 1

Mistake:

Overlooking a critical implementation detail.

Correction:

Always verify results against known benchmarks and theoretical predictions.

Key Term 1

Core concept from section 1 of chapter 45.

Definition:

Git for Scientific Projects

Git tracks code changes with snapshots (commits). For research: use branches for experiments, tags for paper submissions, .gitignore for data/checkpoints.

Definition:

Git LFS and DVC

Git LFS handles large files (model checkpoints, datasets). DVC (Data Version Control) provides Git-like version control for data and ML pipelines.

Definition:

GitHub Actions CI/CD

GitHub Actions automates testing, linting, and deployment:

on: push
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: pip install -e .[test]
      - run: pytest tests/

Definition:

Branching Strategy

For research projects:

  • main: stable, paper-ready code
  • dev: active development
  • exp/name: individual experiments
  • Tags: v1.0-arxiv, v2.0-camera-ready
Prerequisites & NotationLarge File Handling