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Minimal and clean example implementations of data structures and algorithms in Python 3.
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For running all tests write down:
$ python3 -m unittest discover tests
For running some specific tests you can do this as following (Ex: sort):
$ python3 -m unittest tests.test_sort
For running all tests write down:
$ python3 -m pytest tests
If you want to use the API algorithms in your code, it is as simple as:
$ pip3 install algorithms
You can test by creating a python file: (Ex: use merge_sort in sort)
from algorithms.sort import merge_sort
if __name__ == "__main__":
my_list = [1, 8, 3, 5, 6]
my_list = merge_sort(my_list)
print(my_list)If you want to uninstall algorithms, it is as simple as:
$ pip3 uninstall -y algorithms
- arrays
- backtrack
- bfs
- bit
- calculator
- dfs
- dp
- graph
- heap
- linkedlist
- map
- maths
- matrix
- queues
- search
- set
- sort
- stack
- strings
- fizzbuzz
- delete_reoccurring_characters
- strip_url_params
- validate_coordinates
- domain_extractor
- merge_string_checker
- add_binary
- breaking_bad
- decode_string
- encode_decode
- group_anagrams
- int_to_roman
- is_palindrome
- license_number
- make_sentence
- multiply_strings
- one_edit_distance
- rabin_karp
- reverse_string
- reverse_vowel
- reverse_words
- roman_to_int
- word_squares
- unique_morse
- judge_circle
- strong_password
- caesar_cipher
- contain_string
- count_binary_substring
- repeat_string
- min_distance
- longest_common_prefix
- rotate
- first_unique_char
- repeat_substring
- tree
- unix
- union-find
- machine-learning
The repo is maintained by
And thanks to all the contributors who helped in building the repo.