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 24
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Lecture 24 - Python
Overarching Features of Python: Scripting Language, Imperative, Object-Oriented, Functional, More Python Overview - Dynamic Typing, Use of Whitespace and Tabs, Python Environment, Execution of Basic Statements, Calling Methods Using Objects (And Anonymous Objects Like String Literals), Evaluating Assignments, Python Strings, String Methods, and Lists/Sublists (Including Index Wrapping), Strings as Lists of Characters in Python, Replacing Characters Within a List, Mutable Lists Vs. Immutable Lists, Writing the Gatherdivisors Function, Which Lists All the Divisors of the inputted Numbers: Function/Line Syntax (Incl. Tabs), for Loop Syntax and Iterables, Using and Importing Python Modules, Python Dictionaries, Adding and Retrieving Data from Dictionaries, How Heterogeneous Data Is Allowed inside Dictionaries, Look Ahead: Python Libraries, More About Dictionaries
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 |


