Use this tag for PROGRAMMING QUESTIONS that are independent of any particular programming language.
Questions that are independent of programming language. These questions are typically more abstract than other categories.
A typical usage scenario with this tag is that you have a problem and you don't know how to solve much less what to write in a specific programming language.
So you would first ask a how type question with the tag language-agnostic and usually algorithm. Then when you get an acceptable answer you would code it in a specific programming language. If you have problems then you can refer back to the related question with the tag language-agnostic then in the new what question add the specific programming language, e.g. javascript, python
Free Language Agnostic Programming Books
- 97 Things Every Programmer Should Know
- Algorithms and Data-Structures (PDF)
- Algorithms (course)
- The Architecture of Open Source Applications
- The Art of Unix Programming
- Best Kept Secrets of Peer Code Review
- Binary Trees (PDF)
- The Cathedral and the Bazaar
- Clever Algorithms
- Communicating Sequential Processes (PDF) - Tony Hoare
- Compiler Construction (PDF)
- Computer Musings (lectures by Donald Knuth)
- Data Structures and Algorithms: Annotated Reference with Examples
- Database Fundamentals (PDF)
- Data-Intensive Text Processing with MapReduce (PDF)
- The Definitive Guide to Building Code Quality
- Designing Interfaces by Jennifer Tidwell
- Digital Signal Processing For Engineers and Scientists
- Domain Driven Design Quickly
- Don't Just Roll the Dice (PDF)
- Essentials of Metaheuristics by Sean Luke
- Essential Skills for Agile Development
- A Field Guide To Genetic Programming
- Flow based Programming
- Foundations of Computer Science - Al Aho and Jeff Ullman
- Foundations of Programming
- Getting Real
- Getting started with Open source development (PDF)
- The Great Tree List Recursion Problem
- Guide to the Software Engineering Body of Knowledge
- How Computers Work
- How to Design Programs
- How to Think Like a Computer Scientist
- How to Write Parallel Programs
- How to write Unmaintainable Code
- I Am a Bug
- An Introduction to the Theory of Computation
- Introduction to Functional Programming (class lectures and slides)
- Introduction to Information Retrieval
- Is Parallel Programming Hard, And, If So, What Can You Do About It?
- Learn to Program
- Let's Build a Compiler
- Linkers and loaders
- Linked List Basics
- Linked List Problems
- Mathematical Logic - an Introduction (PDF)
- Matters Computational
- Mining of Massive Datasets
- NASA Manager Handbook for Software Development (PDF)
- NASA Software Measurement Handbook
- Object-Oriented Reengineering Patterns
- Online Course Materials
- Operating Systems and Middleware (PDF and LaTeX)
- Patterns and Practices: Application Architecture Guide 2.0
- Patterns of Software: Tales from the Software Community (PDF)
- Planning Algorithms
- PNG: The Definitive Guide
- Pointers And Memory
- Producing Open Source Software
- Programming Languages: Application and Interpretation
- Programming Methodology
- Programming Pearls
- Project Oberon (PDF)
- Seamless Object-Oriented Software Architecture(PDF)
- Security Engineering
- Structure and Interpretation of Computer Programs
- Summary of the GoF Design Patterns
- The Little Book of Semaphores
- The TCP/IP Guide
- Think Stats: Probability and Statistics for Programmers (PDF, code written in Python)
- Type Theory and Functional Programming
- Understanding IP Addressing: Everything you ever wanted to know (PDF)
References:
Dictionary of Algorithms and Data Structures (NIST)
