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Minimal examples of data structures and algorithms in Python

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Pythonic Data Structures and Algorithms

Minimal and clean examples of data structures and algorithms.

List of Implementations:

.
├── array
│   ├── house_robber.py
│   └── longest_increasing_subsequence.py
├── builtins
│   ├── dictionary.py
│   ├── list.py
│   ├── set.py
│   └── tuple.py
├── dynamic_programming
│   └── max_subarray.py
├── graph
│   ├── find_path.py
│   ├── graph.py
│   └── traversal.py
├── hashtable
│   └── hashtable.py
├── linkedlist
│   ├── first_cyclic_node.py
│   ├── kth_to_last.py
│   ├── linkedlist.py
│   └── remove_duplicates.py
├── matrix
│   └── matrix_rotation.txt
├── output.txt
├── queue
│   └── queue.py
├── search
│   ├── binary_search.py
│   ├── count_elem.py
│   ├── first_occurance.py
│   └── last_occurance.py
├── sorting
│   ├── insertion_sort.py
│   ├── merge_sort.py
│   ├── quick_sort.py
│   └── selection_sort.py
├── stack
│   ├── __init__.py
│   ├── __init__.pyc
│   ├── stack.py
│   └── stack.pyc
├── string
│   ├── license_number.py
│   ├── reverse_string.py
│   ├── reverse_vowel.py
│   └── reverse_words.py
├── testStack.py
└── tree
    ├── bintree2list.py
    ├── deepest_left.py
    ├── invert_tree.py
    ├── longest_abs_path.py
    ├── max_height.py
    ├── predecessor.py
    ├── same_tree.py
    ├── successor.py
    ├── tree.py
    └── trie.py



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