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Data structures and algorithms
We list what we believe are most important DS&A topics for working at a big tech companies.
- List-based data structures
- List
- Array
- Python List
- Linked List
- Queue, Stack
- Set, Map, and hashing
- Bit manipulation
- Tree - one of the most popular topics at big tech interviews
- Tree algorithms
- Tree traversal (BFS, DFS)
- Search and delete
- Insert
- Specialized trees
- Binary Search and Binary Search Tree
- Heaps - one of the most popular topics at big tech interviews
- Heapify and HeapSort
- Graph
- BFS & DFS for graphs, Adjacency matrix
- Computation complexity and asymptotic notation
- Basic sorting algorithms
- Insertion Sort
- Selection Sort
- Bubble Sort
- Merge Sort
- Intermediary algorithms
- Recursion, dynamic programming, backtracking - popular at Google
- Advanced sorting algorithms: Radix Sort, QuickSort
In addition to that in coding interviews, you will get problems that require mathematical calculations (including basics of statistics and geometry).
Topics we recommend deprioritizing while preparing for interviews:
- 1.Sweep line algorithm
- 2.Dijkstra's algorithm
Most recommended resources:
- Google’s Intro to Data Structures and Algorithms course on Udacity. It is focused on helping you pass a Google interview.
Last modified 6mo ago
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