Working with Algorithms in Python | F98746E2A5842A0C53B93D4F978C96773620B24E

Working with Algorithms in Python

Name	Working with Algorithms in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.5 GB
Total Files	100
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Hash	F98746E2A5842A0C53B93D4F978C96773620B24E

/z.python-algorithms-master/
debug.log	0.0 KB
04 Brute Force Algorithms/
001. Brute Force An Algorithm for Solving Combinatoric Problems.mp4	358.7 MB
001. Brute Force An Algorithm for Solving Combinatoric Problems.en.srt	63.0 KB
002. Using Brute Force to Generate Magic Squares.en.srt	24.4 KB
002. Using Brute Force to Generate Magic Squares.mp4	151.1 MB
01 BinarySearch/
002. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 2.en.srt	40.3 KB
002. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 2.mp4	197.2 MB
003. Creating a Balanced Binary Search Tree from a Sorted List.en.srt	8.8 KB
003. Creating a Balanced Binary Search Tree from a Sorted List.mp4	39.8 MB
004. An Informal Introduction to the Analysis of Algorithms.en.srt	56.8 KB
004. An Informal Introduction to the Analysis of Algorithms.mp4	160.0 MB
001. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 1.mp4	200.5 MB
001. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 1.en.srt	36.8 KB
02 O (n log n) Behavior/
001. MergeSort A Divide and Conquer Algorithm.en.srt	61.9 KB
001. MergeSort A Divide and Conquer Algorithm.mp4	170.3 MB
002. Using MergeSort to Sort External Data.en.srt	16.1 KB
002. Using MergeSort to Sort External Data.mp4	95.4 MB
03 Mathematical Algorithms/
001. Mathematical Algorithms Exponentiation By Squaring.en.srt	50.4 KB
001. Mathematical Algorithms Exponentiation By Squaring.mp4	301.5 MB
002. Using Exponentiation by Squaring to Determine Whether an Integer Is Prime.en.srt	15.0 KB
002. Using Exponentiation by Squaring to Determine Whether an Integer Is Prime.mp4	79.5 MB
05 K-Dimensional Trees/
001. KD Trees Efficient Processing of Two-Dimensional Datasets Part 1.en.srt	49.3 KB
001. KD Trees Efficient Processing of Two-Dimensional Datasets Part 1.mp4	285.4 MB
002. KD Trees Efficient Processing of Two-Dimensional Datasets Part 2.en.srt	20.3 KB
002. KD Trees Efficient Processing of Two-Dimensional Datasets Part 2.mp4	98.0 MB
003. Using KD Trees to Compute Nearest Neighbor Queries.en.srt	19.8 KB
003. Using KD Trees to Compute Nearest Neighbor Queries.mp4	95.0 MB
06 Graph Algorithms/
001. Graph Algorithms Depth First Search Part 1.en.srt	37.6 KB
001. Graph Algorithms Depth First Search Part 1.mp4	170.0 MB
002. Graph Algorithms Depth First Search Part 2.en.srt	25.4 KB
002. Graph Algorithms Depth First Search Part 2.mp4	157.3 MB
003. Using Depth First Search to Construct a Rectangular Maze.en.srt	17.3 KB
003. Using Depth First Search to Construct a Rectangular Maze.mp4	90.3 MB
07 AllPairsShortestPath/
001. Graph Algorithms All Pairs Shortest Path.en.srt	56.1 KB
001. Graph Algorithms All Pairs Shortest Path.mp4	301.6 MB
002. Using Dynamic Programming to Compute Minimum Edit Distance.en.srt	11.5 KB
002. Using Dynamic Programming to Compute Minimum Edit Distance.mp4	55.4 MB
08 Heap Data Structure/
001. The Heap Data Structure and Its Use in HeapSort.en.srt	38.2 KB
001. The Heap Data Structure and Its Use in HeapSort.mp4	147.8 MB
002. Using HeapSort to Sort a Collection.en.srt	10.4 KB
002. Using HeapSort to Sort a Collection.mp4	63.0 MB
09 Single-Source Shortest Path/
001. Single-Source Shortest Path Using Priority Queues.en.srt	50.9 KB
001. Single-Source Shortest Path Using Priority Queues.mp4	248.7 MB
002. Using Priority Queues to Compute the Minimum Spanning Tree.en.srt	10.0 KB
002. Using Priority Queues to Compute the Minimum Spanning Tree.mp4	61.6 MB
10 Summary/
001. Course Summary.en.srt	2.6 KB
001. Course Summary.mp4	18.3 MB
z.python-algorithms-master/
README.md	1.1 KB
/1. Log N Behavior/
binary.py	1.1 KB
bst.py	3.6 KB
naive insertInPlace.py	0.8 KB
README.txt	0.1 KB
test_module.py	1.0 KB
/1.5 Big O SideBar/
performance.py	1.4 KB
README.txt	0.2 KB
/2. O(n log n) Behavior/
insertion.py	0.3 KB
merge.py	1.3 KB
project_merge.py	4.2 KB
README.txt	1.0 KB
test_module.py	0.5 KB
/3. Mathematical Algorithms/
mathematical.py	3.7 KB
mathematical_project.py	0.4 KB
README.txt	0.6 KB
test_mathematical.py	0.7 KB
/.../4. Brute Force Algorithms/
bruteForce.py	2.1 KB
project_bruteForce.py	3.5 KB
README.txt	1.6 KB
/.../5. KD Tree Data Structure/
app.py	2.3 KB
app_nn.py	3.6 KB
kdtree.py	5.1 KB
README.txt	1.5 KB
/6. DepthFirstSearch/
graph.py	2.3 KB
maze.py	4.5 KB
ProposedChanges.txt	0.2 KB
README.txt	0.7 KB
test_graph.py	0.5 KB
/.../7. Seven All Pairs Shortest Path/
apsp.py	1.5 KB
project_apsp.py	1.0 KB
README.txt	1.7 KB
test_apsp.py	0.8 KB
/8. Heap/
heap.py	0.7 KB
project_heap.py	0.9 KB
README.txt	0.4 KB
test_heap.py	0.3 KB
/.../9. Single-Source Shortest Path/
bheap.py	2.6 KB
project_bheap.py	1.4 KB
README.txt	2.2 KB
sssp.py	1.2 KB
test_sssp.py	0.9 KB
/Presentation Slides/
01 Binary Search.pdf	294.9 KB
01a Analysis Of Algorithms.pdf	278.9 KB
02 O(n log n) Behavior.pdf	213.2 KB
03 Mathematical Algorithms.pdf	152.3 KB
04 Brute Force Algorithms.pdf	155.2 KB
05 K-dimensional Trees.pdf	157.9 KB
06 Graph Algorithms.pdf	205.5 KB
07 All Pairs Shortest Path.pdf	177.4 KB
08 Heap Data Structure.pdf	240.0 KB
09 Single-Source Shortest Path.pdf	177.1 KB
README.md	0.1 KB
Total files 100