Stash: git stash
Master Git stash commands for better workflow management
All commands require you to navigate to your Git repository folder first. Ensure you have Git installed and a repository initialized before proceeding.
Git Stash Command Options
| Feature | Basic Stash | Named Stash |
|---|---|---|
| Command | git stash | git stash save "message" |
| Organization | Harder to identify | Easy to identify |
| Best for | Quick temporary saves | Multiple ongoing changes |
Git allows you to create multiple stashes. While naming is optional, meaningful names help identify stashes later, especially when working on different features simultaneously.
Understanding Stash List Output
Stash Index
Each stash gets a unique identifier like stash@{0}, stash@{1}. Lower numbers indicate more recent stashes.
Stash Message
Shows your custom message or default branch information. Helps identify the purpose of each stash.
Pop vs Apply Commands
| Feature | git stash pop | git stash apply |
|---|---|---|
| Stash removal | Removes from list | Keeps in list |
| Use case | One-time application | Multiple applications |
| Risk level | Higher - stash deleted | Lower - stash preserved |
Applying Specific Stashes
List Available Stashes
Run git stash list to see all available stashes with their identifiers
Identify Target Stash
Note the stash identifier (e.g., stash@{0}, stash@{1}) for the changes you want
Apply the Stash
Use git stash pop stash@{0} or git stash apply stash@{0} with your specific identifier
Git Stash Clear vs Drop
Both git stash clear and git stash drop permanently delete stashed changes. Make sure you no longer need the stashed code before removing it.
Available NYC Coding Programs
Web Development School
Comprehensive full-stack development training. Learn front-end and back-end technologies in hands-on, expert-led classes.
Python Bootcamp
Intensive Python programming course covering fundamentals to advanced topics. Small class sizes ensure personalized attention.
Data Science School
Master data analysis, machine learning, and statistical modeling. Practical projects with real-world datasets and expert instruction.
Web Design School
Learn modern design principles, user experience, and visual design. Hands-on training with industry-standard tools and techniques.
Key Takeaways