Computer Science Resources

Compilation of Computer Science courses, books, blog posts and videos.

• The Fundamentals (this list) - "classic" resources recommended to me by someone or popular in the internet. Focuses on the most fundamental and important concepts in Computer Science.
• Further Reading - short blog posts, articles from the internet, more specific resources. Less fundamental, more practical (and typically up-to-date).
• Machine Learning - everything related to Machine Learning and its domains (Natural Language Processing, Reinforcement Learning, Computer Vision, etc).

Algorithms and Data Structures

• 📖 Introduction to Algorithms ("CLRS" — Cormen, Leiserson, Rivest, Stein, 2001)
  • 🎥 Introduction to Algorithms (course with assignments and solutions)
• 📖 The Algorithm Design Manual (Skienna, 2020)
• 📖 The Art of Computer Programming (Donald Knuth)
  • Volume 1 – Fundamental Algorithms
  • Volume 2 – Seminumerical Algorithms
  • Volume 3 – Sorting and Searching
  • Volume 4A – Combinatorial Algorithms, Part 1
• 🔗 CP-Algorithms

Distributed Systems

• 🎥 MIT Distributed Systems (Spring 2023)
• 🎥 Paxos & TLA+ Turing Award lectures (shorter videos with the core concepts, 2020)
• 📄 The Anatomy of a Large-Scale Hypertextual Web Search Engine ("The Google Paper", Brin, Page, 1998)
• 📄 The Google Filesystem (2003)
• 📄 MapReduce: Simplified Data Processing on Large Clusters (Jeffrey Dean and Sanjay Ghemawat, 2004)
• 📄 The Chubby lock service for loosely-coupled distributed systems (2006)
• 📄 Dremel: Interactive Analysis of Web-Scale Datasets (2010)
• 📄 The Byzantine Generals Problem (Lamport et al., 1982)
• 📄 The Part-Time Parliament ("The Paxos Paper", Lamport et al., 1998)
  • 📄 Paxos made simple
• 📄 Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services ("The CAP Theorem" proof, 2002)
• 📄 Time, Clocks, and the Ordering of Events in a Distributed System
• Distributed Computing in Practice: The Condor Experience (2005)
• 📄 CAP Twelve Years Later: How the "Rules" Have Changed (2012)
• 📄 In Search of an Understandable Consensus Algorithm ("The Raft Paper", 2014)
  • 🔗 raft.github.io

Databases

• 🎥 CMU Database courses
  • Intro to Database Systems, (Andy Pavlo, 2023, lectures + assignments)
  • Advanced Database Systems (Andy Pavlo, 2023, lectures + assignments)
• 📖 Designing Data Intensive Applications (2015)
• 📄 A Case for Redundant Arrays of Inexpensive Disks (RAID) (Patterson, 1988)
• 📄 Bigtable: A Distributed Storage System for Structured Data ("The Bigtable Paper", 2006)
• 📄 Spanner: Google's Globally-Distributed Database ("The Spanner Paper", 2012)
• 📄 F1: A Distributed SQL Database That Scales ("The F1 paper", 2013)
• 📄 Dynamo: Amazon's Highly Available Key-value Store (2007)

Programming Languages

C++

• "Effective C++" series by Scott Meyers
  • 📖 Effective C++
  • 📖 More Effective C++
  • 📖 Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14
  • 📖 Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library

Functional Programming

• 📖 Haskell Programming from first principles (2018)

Rust

• 📖 The Rust Programming Language — the official Rust introduction book
• 🔗 rustlings (a set of exercises for learning Rust)

Python

• 📖 Fluent Python

Systems Programming (Operating Systems, Low-Level Primitives, Hardware)

• 🎥 MIT's Operating System Engineering
• 📖 Computer Architecture: A Quantitative Approach
• 📖 Modern Operating Systems (Tanenbaum, 2001)
• 📖 The UNIX TimeSharing System
• 📖 Reverse Engineering for Beginners
  • 🔗 Book website
  • 🔗 Challenges
• 📖 The UNIX Programming Environment (Kernighan, Rob Pike)

Compilers

• 📖 Crafting Interpreters (2021)
• 📖 Compilers: Principles, Techniques, and Tools ("The Dragon Book", Aho, Sethi, Ullman, 1986)
• 📖 Structure and Interpretation of Computer Programs ("SICP", 1996)

Networking

• 🎥 + 📖 Computer Networking: A Top-Down Approach
• 📖 Computer Networks (Tanenbaum, 2021)
• 📖 The Protocols (TCP/IP Illustrated) (1993)

Miscellaneous

• 🎥 Performance Engineering of Software Systems (MIT, 2018)
• 🎥 Computer Systems Security (MIT, 2014)
• 🎥 Introduction to Computer Graphics (MIT, 2020) (+ assignments)
• 🎥 Machine Vision (MIT, 2020)
• 🎥 Computer Systems Security (MIT, 2014)
• 📖 Concrete Mathematics: A Foundation for Computer Science (Graham, Knuth, Patashnik, 1994)
• 📖 Code Complete (2004)
• 📖 Domain-Driven Design (2003)
• 📖 Test-Driven Development (2002)
• 📖 The Pragmatic Programmer (2019)