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 1 | # Data Structure and Algorithms Path
 2 | 
 3 | This is the data structure and algorithms path for the Mountblue Coding Bootcamp. 
 4 | 
 5 | The actual practice pedagogy involves starting with solving a given problem that leads to insights that unravel the concepts.
 6 | 
 7 | ## Practice Websites
 8 | 
 9 | 1. [Leet Code](https://leetcode.com/)
10 | 2. [Interview Bit](https://www.interviewbit.com/)
11 | 3. [Hacker Rank](https://www.hackerrank.com/)
12 | 
13 | ## Topics to Cover
14 | 
15 | ### Big-O Notation
16 | 
17 | 1. Time Complexity - Optimal subdivisiblity
18 | 2. Space Complexity
19 | 
20 | ### Permutations and Combinations
21 | 
22 | 1. Longest Common Subsequence
23 | 2. Fuzzy Search
24 | 3. Print all permutations
25 | 4. Shell Sort
26 | 5. Merge Sort
27 | 6. 8 queen programming
28 | 
29 | ### Dynamic Programming
30 | 
31 | 1. Finding path through a maze - both variants
32 | 2. Longest Common Subsequence - KMP variation
33 | 3. Memoization
34 | 
35 | ### Data Structures
36 | 
37 | 1. Stack
38 | 2. Queue
39 | 3. Linked List
40 | 4. HashMap
41 | 
42 | ### Tree Algorithms
43 | 
44 | 1. BST
45 | 2. Red Black
46 | 3. AVL
47 | 4. Trie
48 | 5. BFS
49 | 6. DFS
50 | 
51 | ### Graph Algorithms
52 | 
53 | 1. Kruskal's 
54 | 2. Prim's
55 | 3. Djikstra
56 | 
57 | ### Cryptography
58 | 
59 | 1. Basic Cryptography
60 | 2. Modern Cryptography
61 | 3. Security Algorithms


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