- The Design of Everyday Things
- Structure and Interpretation of Computer Programs
- How to Design Programs: An Introduction to Programming and Computing
- Code Complete: A Practical Handbook of Software Construction
- Competitive Programmer’s Handbook
- THE DESIGN OF POSTGRES
- The Erlang Runtime System
- Algorithms, 4th Edition
- A Tour of C++
- Effective C++
- More Effective C++
- Refactoring: Improving the Design of Existing Code
- A SHORT INTRODUCTION TO THE ART OF PROGRAMMING
- Career Development Handbook
- Build Your Own Lisp
- The System Design Primer
- Writing an OS in Rust (Second Edition)
- Teach Yourself Computer Science
- The Road to learn React
- The Pragmatic Programmer
- The Architecture of Open Source Applications
- Python Data Science Handbook
- The Elements of Computing Systems - Building a Modern Computer from First Principles
- Distributed Systems 3rd edition
- Crafting Interpreters
- Algorithms by Jeff Erickson
- The Rust Programming Language
- How OpenGL works: software rendering in 500 lines of code
- A Self-Learning, Modern Computer Science Curriculum
- The Go Programming Language
- Learning Functional Programming in Go
- Cloud Native DevOps With Kubernetes
- immersive linear algebra
- Introduction to Theoretical Computer Science
- Engineering: A Compiler
- Designing Data-Intensive Applications
- Learn You a Haskell
- Designing Data-Intensive Applications
- prometheus metrics
Last active
February 17, 2020 01:40
-
-
Save daoleno/0942bbb9d14ae0fcb04904468fb00ae1 to your computer and use it in GitHub Desktop.
book list
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment