algorithm-in-python/README.md

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# Algorithm
>Notes and codes for learning algorithm and data structures :smiley:
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Some pictures and ideas are from `<<Introduction to Algotithm>>
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I use python 3.6+ and c++ to implements them.
Since I used f-Strings in python, you may use python 3.6+ to run the following python scripts.
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>>I am still learning new things and this repo is always updating.
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# Notice
Currently, Github can't render latex math formulas.
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So,if you wannt to view the notes which contain latex math formulas and are in markdown format, you can visit [my blog](https://mbinary.coding.me)
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# Index
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* [.](.)
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* [computationalMethod](./computationalMethod)
* [interplotion.py](./computationalMethod/interplotion.py)
* [iteration.py](./computationalMethod/iteration.py)
* [least_square.py](./computationalMethod/least_square.py)
* [linear_equation.py](./computationalMethod/linear_equation.py)
* [numerical_differential.py](./computationalMethod/numerical_differential.py)
* [numerical_integration.py](./computationalMethod/numerical_integration.py)
* [README.md](./computationalMethod/README.md)
* [solve-linear-by-iteration.py](./computationalMethod/solve-linear-by-iteration.py)
* [tongyu_equation.py](./computationalMethod/tongyu_equation.py)
* [vector_norm.py](./computationalMethod/vector_norm.py)
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* [dataStructure](./dataStructure)
* [allOone](./dataStructure/allOone)
* [binaryHeap.py](./dataStructure/binaryHeap.py)
* [binaryTree.py](./dataStructure/binaryTree.py)
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* [bTree.py](./dataStructure/bTree.py)
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* [graph](./dataStructure/graph)
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* [hashTable.py](./dataStructure/hashTable.py)
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* [huffman](./dataStructure/huffman)
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* [intervalTree.py](./dataStructure/intervalTree.py)
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* [leftHeap.py](./dataStructure/leftHeap.py)
* [loserTree.py](./dataStructure/loserTree.py)
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* [map.cc](./dataStructure/map.cc)
* [polynomial.cpp](./dataStructure/polynomial.cpp)
* [polynomial.py](./dataStructure/polynomial.py)
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* [redBlackTree.py](./dataStructure/redBlackTree.py)
* [splayTree.py](./dataStructure/splayTree.py)
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* [trie.py](./dataStructure/trie.py)
* [winnerTree.py](./dataStructure/winnerTree.py)
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* [divideAndConquer](./divideAndConquer)
* [min_distance_of_n_points.py](./divideAndConquer/min_distance_of_n_points.py)
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* [docs](./docs)
* [algorithm-general.md](./docs/algorithm-general.md)
* [b-tree.md](./docs/b-tree.md)
* [fib-heap.md](./docs/fib-heap.md)
* [graph.md](./docs/graph.md)
* [hashTable.md](./docs/hashTable.md)
* [README.md](./docs/README.md)
* [red-black-tree.md](./docs/red-black-tree.md)
* [sort.md](./docs/sort.md)
* [tree.md](./docs/tree.md)
* [dynamicProgramming](./dynamicProgramming)
* [lcs.hs](./dynamicProgramming/lcs.hs)
* [lcs.py](./dynamicProgramming/lcs.py)
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* [matrixChainMultiply.py](./dynamicProgramming/matrixChainMultiply.py)
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* [splitStripe.hs](./dynamicProgramming/splitStripe.hs)
* [splitStripe.py](./dynamicProgramming/splitStripe.py)
* [testVec2d.hs](./dynamicProgramming/testVec2d.hs)
* [Vec2d.hs](./dynamicProgramming/Vec2d.hs)
* [math](./math)
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* [arrangement.c](./math/arrangement.c)
* [cantor.c](./math/cantor.c)
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* [isPrime.py](./math/isPrime.py)
* [num_weight.py](./math/num_weight.py)
* [README.md](./README.md)
* [search](./search)
* [8Astar.py](./search/8Astar.py)
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* [bloomFilter.py](./search/bloomFilter.py)
* [sort](./sort)
* [binaryTree.py](./sort/binaryTree.py)
* [heapSort.py](./sort/heapSort.py)
* [quickSort.py](./sort/quickSort.py)
* [radixSort.py](./sort/radixSort.py)
* [select.py](./sort/select.py)
* [shellSort.py](./sort/shellSort.py)
* [string](./string)
* [manacher.py](./string/manacher.py)
* [markov.py](./string/markov.py)