Whether you’re building big data applications, developing data pipelines, or working on machine learning projects, it’s essential to manage changes to your code. Although developers and data scientists have employed a variety of tools for this over the years, an open source version control system called git has emerged as the standard tool for thousands of organizations around the world. Just Enough Git introduces students to this innovative distributed version control system through a series of lectures, demonstrations, and hands-on exercises.
What you will learn
Book the course
- How would you like to train?
- Virtual Classroom
- Why Version Control?
- What is Git?
- How Does Git Compare to Other Version Control Tools?
- Concepts and Terminology
- Different Types of Git Clients
- GitHub and Other Code Hosting Platforms
Using Git with a Local Repository
- Initializing Git Configuration
- Creating a Local Repository
- Staging and Committing Your
- Ignoring Files
- Exploring a Repo
- Comparing Commits
Using Git with Remote Repositories
- Connecting to Remote Repositories
- Pushing Your Changes
- Getting the Code from a Remote Repository
- Understanding and Using Branches
- Merging and Resolving Conflicts
- Understanding and Using Tags
- Using Git for Collaboration with Cloudera Data Science Workbench