Fundamentals 10 min read

Understanding Common Git Commands: Merge, Rebase, Reset, Revert, Fetch, Pull, and Reflog

This article visually and textually explains essential Git commands—including merge, rebase, reset, revert, cherry-pick, fetch, pull, and reflog—detailing their effects on branches, commit history, and how to resolve conflicts, providing a comprehensive guide for developers to manage version control effectively.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Understanding Common Git Commands: Merge, Rebase, Reset, Revert, Fetch, Pull, and Reflog

This article provides a visual and textual guide to essential Git commands, explaining how they manipulate branches and history.

git merge combines changes from one branch into another, with fast‑forward and no‑fast‑forward modes; fast‑forward moves the branch pointer without a new commit, while no‑ff creates a merge commit.

git rebase reapplies commits of the current branch onto another base, producing a linear history and avoiding merge conflicts; interactive rebase allows editing, squashing, fixing up, dropping, or reordering commits.

git reset moves HEAD to a specified commit. A soft reset keeps changes staged, while a hard reset discards all working‑directory and index changes, restoring the repository to the target commit.

git revert creates a new commit that undoes the changes introduced by a previous commit without altering history.

git cherry-pick copies a specific commit from another branch onto the current branch.

git fetch downloads objects and refs from a remote without merging; git pull combines fetch and merge to update the local branch automatically.

git reflog records updates to HEAD, allowing recovery of lost commits and enabling resets to previous states.

gitfetchmergerebaseVersion Controlpullresetrevert
Python Programming Learning Circle
Written by

Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

0 followers
Reader feedback

How this landed with the community

login Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.