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Key points

  1. data structure
  2. typical algorithms such as k-means, principal component analytics etc.
  3. review the previous course like probability.
  4. hand gesture project

TODO

  1. java source code
  2. spark source code
  3. try to build the elasticsearch project and read the code
  4. Generics
  5. collections
  6. polymorphism, encapsulation, inherit

Thanks to Stefan Pochmann, not only do I learn how to solve algo with python, but also learn a lot of python tricks from him!

Top 10 algo:

  1. dfs
  2. bfs
  3. the matching brackets (asked by skyscanner)
  4. hash tables (memoization, fabonacci)
  5. pointer manipulation
  • run leetcode code: python .\src\main.py --module-name=leetcode.34

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