Lectures
- 1. Introduction
- 2. C and C++ Data Types
- 3. Structs, Arrays, Pointers
- 4. Generics, Swapping Pointers, Generic Linear Search
- 5. Comparison Function, C Data Structures
- 6. Stack Implementation
- 7. Stack Implementation (cont)
- 8. Heap Management
- 9. Assembly Instructions
- 10. Activation Records
- 11. C++ Code Generation
- 12. Preprocessing Commands
- 13. Compilation Process
- 14. Sequential Programming Vs. Concurrent Programming
- 15. Concurrent Programming, Semaphore
- 16. Semaphore Usage
- 17. Dining Philosopher Problem, Threading
- 18. Ice Cream Store Problem
- 19. Functional paradigm, Scheme programming language
- 20. Scheme, Flatten Function
- 21. Kawa Development Environment, Mapping Functions
- 22. Lambda Mapping Function, Permutation Function
- 23. Scheme Memory Model
- 24. Python
- 25. Python dictionary
- 26. XML and Python
- 27. Haskell programming language
Programming Paradigms - Lecture 27
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Lecture 27 - Haskell programming language
Guest Lecturer: Sasha Rush, Haskell History, Safeguards in Haskell that Avoid Runtime Errors, Expressive Functions in Haskell, Speed of Haskell, Haskell Fibonacci Sequence in One Line Using Lazy Evaluation, How Lazy Evaluation Allows if Statements, Haskell Types, User-defined Data Types, Representing the Null Type in Haskell, List Types, Strings as Lists and Recursive Type Definitions, List Functions and Pattern Matching, Type Variables and Functions, Recursive Map Function, Reasons for the Lack of Object-oriented Code in Haskell, How to Get a Job Using Haskell, Three Functions that are Easier to Write in Haskell
Prof. Jerry Cain
CS107 Programming Paradigms (Stanford University: Stanford Engineering Everywhere) http://see.stanford.edu Date accessed: 2009-05-09 License: Creative Commons Attribution 3.0 |
