HackerTube.dev

Lecture 6: Version Control (git) (2020)

Missing Semester · 751.8K views · 2020-02-02 · 1:25:00

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

A lecture from MIT's Missing Semester course covering version control with git. It builds up git from its data model rather than from commands.

On Hacker News

HN frequently calls it the best single video on git because it teaches the underlying data structures.

Recommended by 9 HN people across 8 months · HN mentions 2020–2023

Topics

Testing, debugging & developer toolsUniversity lectures & courses
Search by tags
gitdata modelmissing semestermitcommand line

What people said

jacobegold · 2023-11 · Strong recommendation

I think that this video should be considered mandatory viewing if you're a developer using Git — the whole lecture starts from the basic data structures involved and builds from there, as opposed to the way that it seems many people approach Git: "What command do I run?" [VIDEO]

Read the original HN comment ↗
FranklinMaillot · 2023-11 · Strong recommendation

The "Missing Semester" is a collection of video lectures from MIT that covers the fundamentals of command line, git, vim, and other tools often overlooked in computer science courses. As a self-taught developer, I found it to be an ideal introduction to git. The series made me also pick up vim, and I have not looked back since. [VIDEO]

Read the original HN comment ↗
mynameismon · 2022-06 · Strong recommendation

I've recommended it here previously, and I'll do it again, because it's so fantastic: Missing Semester's lecture on Git [VIDEO]

Read the original HN comment ↗

Sources

Video by Missing Semester, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources