GitHub for Data Scientists

Learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community.

Introduction

• Collaboration is the key to data science

1. GitHub Foundations

• What is GitHub?
• How does GitHub work?
• Common GitHub terminology
• Using GitHub for collaboration
• Accessing learning resources

2. Using Repositories in GitHub

• Creating a repository in GitHub
• Cloning a repository in GitHub
• Branching in GitHub
• Commit in GitHub
• Pull requests in GitHub
• Resolving common merge issues

3. Creating a GitHub Portfolio

• The value of a GitHub portfolio
• Creating a powerful data science portfolio

4. Community Building

• Finding collaborators to follow
• Contributing to open source repositories

5. Common GitHub Resources

• Where to find answers
• Incorporating user interfaces

Conclusion

• Moving beyond the basics of GitHub