Honest Take — Before You Begin
Graphs are the data structure hiding in plain sight. You've been working with them your entire career without calling them that. Bundler resolving gem dependencies? That's topolog…
Master graph representations, traversals (BFS/DFS), shortest paths, minimum spanning trees, topological sort, and connected components. Graphs are everywhere in software — understanding them transforms how you see systems.
Bundler is a graph algorithm. Your Gemfile defines a dependency graph, and bundle install performs topological sort with constraint satisfaction to find a valid resolution. Sidekiq job dependencies form DAGs (directed acyclic graphs). Database foreign key relationships form a graph — and when you run db:migrate, Rails topologically sorts your migrations. If you have ever used acts_as_tree or ancestry gem, you are working with tree structures (special graphs). Understanding graph algorithms helps you design better data models and recognize when a problem is fundamentally a graph problem disguised as a Rails problem.
This course unlocks once you've finished its prerequisite. Open prerequisite →
Graphs are the data structure hiding in plain sight. You've been working with them your entire career without calling them that. Bundler resolving gem dependencies? That's topolog…
Approach: READ: Ch 20 (Elementary Graph Algorithms), Ch 21 (MST), Ch 22 (Single-Source Shortest Paths), Ch 23 (All-Pairs Shortest Paths), Ch 24 (Max Flow)
Approach: READ: Ch 5 (graph traversal), Ch 6 (weighted graph algorithms), Ch 7 (combinatorial search + backtracking)
Approach: SELECTIVE: Ch 1-4 (fundamentals, trees, connectivity, Euler/Hamilton)
Work through each item before the checkpoint.
Build a Ruby dependency resolver (a mini-Bundler). Given a hash of gems with their dependencies, produce a valid installation order using topological sort. Detect circular depende…
6 lessons. Read in order; spiral back when you need to. By the end you'll have used the core ideas twice — once on the abstract, once on something you'll meet at work next week.