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All Algorithms implemented in Python
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* [mypy] Fix type annotations for binary tree traversals in data structures * Change variable name and update level_order_1 to use a deque Using a deque instead of a list here, because since we are removing from the beginning of the list, the deque will be more efficient. * remove duplicate function * Update data_structures/binary_tree/binary_tree_traversals.py Co-authored-by: John Law <johnlaw.po@gmail.com> * fix function name at line 137 * Update data_structures/binary_tree/binary_tree_traversals.py Co-authored-by: John Law <johnlaw.po@gmail.com> * Update data_structures/binary_tree/binary_tree_traversals.py Co-authored-by: John Law <johnlaw.po@gmail.com> * Remove type alias and use the new syntax * Update data_structures/binary_tree/binary_tree_traversals.py Co-authored-by: John Law <johnlaw.po@gmail.com> * Remove prints inside functions and return lists Co-authored-by: John Law <johnlaw.po@gmail.com> |
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| .github | ||
| arithmetic_analysis | ||
| audio_filters | ||
| backtracking | ||
| bit_manipulation | ||
| blockchain | ||
| boolean_algebra | ||
| cellular_automata | ||
| ciphers | ||
| compression | ||
| computer_vision | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| electronics | ||
| file_transfer | ||
| financial | ||
| fractals | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| greedy_methods | ||
| hashes | ||
| knapsack | ||
| linear_algebra | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| physics | ||
| project_euler | ||
| quantum | ||
| scheduling | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| web_programming | ||
| .coveragerc | ||
| .gitattributes | ||
| .gitignore | ||
| .gitpod.yml | ||
| .pre-commit-config.yaml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| mypy.ini | ||
| pytest.ini | ||
| README.md | ||
| requirements.txt | ||
Implementations are for learning purposes only. As they may be less efficient than the implementations in the Python standard library, use them at your discretion.
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List of Algorithms
See our directory for easier navigation and better overview of the project.