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@ -27,3 +27,7 @@ Sometimes you do not need to store the whole DP table in memory, the last two va
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- [Decode Ways](https://leetcode.com/problems/decode-ways/)
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- [Unique Paths](https://leetcode.com/problems/unique-paths/)
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- [Jump Game](https://leetcode.com/problems/jump-game/)
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## Courses
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- [Grokking the Dynamic Programming Patterns for Coding Interviews](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews?aff=x23W)
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@ -44,7 +44,11 @@ Hashmaps are probably the most commonly used data structure for algorithm questi
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If you are cutting corners in your code, state that out loud to your interviewer and say what you would do in a non-interview setting (no time constraints). E.g., I would write a regex to parse this string rather than using `split()` which may not cover all cases.
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###### References
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## Algorithm courses
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If you want more structured algorithms practice, I recommend [Educative's Grokking the Coding Interview: Patterns for Coding Questions](https://www.educative.io/courses/grokking-the-coding-interview?aff=x23W) course. This course essentially expands upon the questions here but approaches the practicing from a questions pattern perspective rather than data structures, which is an approach I agree with for learning and getting better at algorithmic problems.
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## References
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- http://blog.triplebyte.com/how-to-pass-a-programming-interview
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- https://quip.com/q41AA3OmoZbC
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@ -11,3 +11,7 @@ title: Object-Oriented Programming
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- Discuss algorithms and data structures for a garbage collector?
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- How would you implement an HR system to keep track of employee salaries and benefits?
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- How would you implement an Elevator system?
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## Courses
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- [Grokking the Object Oriented Design Interview](https://www.educative.io/courses/grokking-the-object-oriented-design-interview?aff=x23W)
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@ -1,91 +0,0 @@
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---
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id: topics
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title: Topics
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---
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## Arrays
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## Strings
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- Prefix trees (Tries)
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- Suffix trees
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- Suffix arrays
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- KMP
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- Rabin-Karp
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- Boyer-Moore
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## Sorting
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- Bubble sort
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- Insertion sort
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- Merge sort
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- Quick sort
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- Selection sort
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- Bucket sort
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- Radix sort
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- Counting sort
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## Linked Lists
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## Stacks
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## Queues
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## Hash tables
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- Collision resolution algorithms
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## Trees
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- BFS
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- DFS (inorder, postorder, preorder)
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- Height
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## Binary Search Trees
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- Insert node
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- Delete a node
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- Find element in BST
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- Find min, max element in BST
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- Get successor element in tree
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- Check if a binary tree is a BST or not
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## Heaps / Priority Queues
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- Insert
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- Bubble up
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- Extract max
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- Remove
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- Heapify
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- Heap sort
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## Graphs
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- Various implementations
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- Adjacency matrix
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- Adjacency list
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- Adjacency map
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- Single-source shortest path
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- Dijkstra
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- Bellman-Ford
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- Topo sort
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- MST
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- Prim algorithm
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- Kruskal's algorithm
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- Union Find Data Structure
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- Count connected components in a graph
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- List strongly connected components in a graph
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- Check for bipartite graph
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## Dynamic Programming
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- Count Change
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- 0-1 Knapsack
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## System Design
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- http://www.hiredintech.com/system-design/
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- https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023
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- http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/
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- https://github.com/donnemartin/system-design-primer
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- https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf
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