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Classroom Contents
Programming, Data Structures and Algorithms Using Python
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- 1 algorithms and programming: simple gcd
- 2 improving naive gcd
- 3 euclid's algorithm for gcd
- 4 downloading and installing python
- 5 assignment statement, basic types - int, float, bool
- 6 strings
- 7 lists
- 8 control flow
- 9 functions
- 10 examples
- 11 more about range()
- 12 manipulating lists
- 13 breaking out of a loop
- 14 arrays vs lists, binary search
- 15 efficiency
- 16 selection sort
- 17 insertion sort
- 18 recursion
- 19 mergesort
- 20 mergesort, analysis
- 21 quicksort
- 22 quicksort analysis
- 23 tuples and dictionaries
- 24 function definitions
- 25 list comprehension
- 26 exception handling
- 27 standard input and output
- 28 handling files
- 29 string functions
- 30 formatting printed output
- 31 pass, del() and none
- 32 backtracking, n queens
- 33 global scope, nested functions
- 34 generating permutations
- 35 sets, stacks, queues
- 36 priority queues and heaps
- 37 abstract datatypes, classes and objects
- 38 classes and objects in python
- 39 user defined lists
- 40 search trees
- 41 memoization and dynamic programming
- 42 grid paths
- 43 longest common subsequence
- 44 matrix multiplication
- 45 wrap-up, python vs other languages
