A working library — not a link dump. Every entry here is something worth your time: free where free exists and is genuinely good, paid where the depth justifies it. Organized by what you're actually trying to learn.
The single best on-ramp into computer science. Covers abstraction, algorithms, data structures, and security across C, Python, SQL, and JavaScript, with real problem sets.
MIT's legendary text on computational thinking — builds interpreters, evaluators, and abstraction layers from first principles in Scheme.
A curated, opinionated CS degree curriculum built from the best free/paid textbooks and courses across nine core subjects.
189 programming questions with worked solutions and a framework for approaching unfamiliar problems under pressure.
Princeton's full algorithms course — sorting, searching, graphs, strings — with runnable Java implementations and a companion Coursera course.
The mathematically rigorous reference for algorithm design and analysis — the book most CS programs build their theory courses around.
A GitHub-native guide to designing large-scale systems — scalability, caching, sharding, and consistency — with real interview Q&A.
A war-stories approach to algorithm design, paired with a catalog of algorithmic problems mapped to real solutions.
The definitive book on distributed data systems — replication, partitioning, transactions, and consensus, with the trade-offs behind each.
Virtualization, concurrency, and persistence — the three pillars of OS design — explained with unusual clarity and free in full.
A full pattern catalog for microservices architecture — decomposition, data management, deployment, observability — with real trade-off discussion.
Designing, deploying, and operating microservices in production, covering service boundaries, deployment, and organizational implications.
Visual, diagram-driven breakdowns of real production systems (rate limiters, chat systems, feed generation) with clear trade-off framing.
A deep dive into storage engines, B-trees, LSM trees, and distributed consensus that goes further than most system design material dares.
The canonical guide to writing idiomatic, effective Go — formatting, naming, concurrency patterns, error handling.
The official Rust book — ownership, borrowing, lifetimes — the concepts that make Rust worth the learning curve.
A book series on JavaScript's actual mechanics — scope, closures, prototypes, async — for people who want to stop guessing.
A modern, project-driven introduction to programming through JavaScript — free online with interactive code sandboxes.
The official Python tutorial — concise, precise, and kept current with every language release.
TCP, TLS, HTTP/2, WebSocket, and mobile networking, explained by a former Google web performance engineer — free in full online.
The canonical reference for HTML, CSS, JavaScript, and web platform APIs — accurate, versioned, and vendor-neutral.
The complete, official guide to Git — from first commit to rewriting history and managing large team workflows.
Official docs for the modern VPN protocol that replaced most legacy tunnel setups — concise, technical, no fluff.
Practical wisdom on the discipline of software craftsmanship — still relevant decades after first publication.
A handbook of agile software craftsmanship — naming, functions, comments, and the small decisions that compound into readable systems.
The original 23 object-oriented design patterns — the shared vocabulary most architecture discussions still borrow from.
Techniques for modeling complex business domains in code, and for keeping developers and domain experts speaking the same language.
Stability and resilience patterns for production software — circuit breakers, bulkheads, timeouts — from real outages.
Combines hundreds of API docs into one fast, searchable, offline-capable interface.
Paste any shell command and get each flag and argument explained inline — invaluable for dense one-liners.
Live regex testing with a real-time explanation panel across multiple language flavors.
A hand-drawn-style whiteboard for architecture diagrams and quick system sketches — no account required.
Community-maintained, visual learning roadmaps for dozens of specializations — backend, DevOps, systems design, and more.
The canonical, maintained source for Linux kernel and C library man pages — searchable online.
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