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Udemy - Algorithmic Problems in Python (2015)
- Date: 2026-10-29
- Size: 624 MB
- Files: 25
File Name
Size
01 Introduction/002 Complexity theory introduction.jpeg
206 kB
01 Introduction/001 Introduction.mp4
3.9 MB
01 Introduction/002 Complexity theory introduction.mp4
56 MB
02 Backtracking/007 Coloring problem introduction.mp4
42 MB
02 Backtracking/012 Maze problem implementation.mp4
24 MB
02 Backtracking/011 Maze problem introduction.mp4
7.7 MB
02 Backtracking/006 Hamiltonian cycle implementation.mp4
29 MB
02 Backtracking/001 Backtracking introduction.mp4
14 MB
02 Backtracking/005 Hamiltonian problem - NP-hard problems.mp4
20 MB
02 Backtracking/003 N-queens problem implementation.mp4
16 MB
02 Backtracking/002 N-queens problem introduction.mp4
24 MB
02 Backtracking/010 Knight tour implementation.mp4
10 MB
02 Backtracking/008 Coloring problem implementation.mp4
28 MB
02 Backtracking/004 Hamiltonian cycle introduction.mp4
47 MB
02 Backtracking/009 Knight tour introduction.mp4
12 MB
03 Dynamic Programming/004 Coin change problem introduction.mp4
53 MB
03 Dynamic Programming/003 Fibonacci numbers implementation.mp4
15 MB
03 Dynamic Programming/001 Dynamic programming introduction.mp4
11 MB
03 Dynamic Programming/008 Knapsack problem introduction.mp4
29 MB
03 Dynamic Programming/007 Rod cutting problem implementation.mp4
13 MB
03 Dynamic Programming/005 Coin change problem implementation.mp4
20 MB
03 Dynamic Programming/006 Rod cutting problem introduction.mp4
49 MB
03 Dynamic Programming/010 Knapsack problem implementation.mp4
29 MB
03 Dynamic Programming/002 Fibonacci numbers introduction.mp4
17 MB
03 Dynamic Programming/009 Knapsack problem example.mp4
54 MB