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All Algorithms implemented in Python
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* Added doctest and more explanation about Dijkstra execution. * tests were not passing with python2 due to missing __init__.py file at number_theory folder * Removed the dot at the beginning of the imported modules names because 'python3 -m doctest -v data_structures/hashing/*.py' and 'python3 -m doctest -v data_structures/stacks/*.py' were failing not finding hash_table.py and stack.py modules. * Moved global code to main scope and added doctest for project euler problems 1 to 14. * Added test case for negative input. * Changed N variable to do not use end of line scape because in case there is a space after it the script will break making it much more error prone. * Added problems description and doctests to the ones that were missing. Limited line length to 79 and executed python black over all scripts. * Changed the way files are loaded to support pytest call. * Added __init__.py to problems to make them modules and allow pytest execution. * Added project_euler folder to test units execution * Changed 'os.path.split(os.path.realpath(__file__))' to 'os.path.dirname()' * Added Burrows-Wheeler transform algorithm. * Added changes suggested by cclauss * Fixes for issue 'Fix the LGTM issues #1024'. * Added doctest for different parameter types and negative values. * Fixed doctest issue added at last commit. |
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|---|---|---|
| .github | ||
| arithmetic_analysis | ||
| backtracking | ||
| boolean_algebra | ||
| ciphers | ||
| compression | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| file_transfer_protocol | ||
| graphs | ||
| hashes | ||
| linear_algebra_python | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| project_euler | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| traversals | ||
| .gitignore | ||
| .travis.yml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| README.md | ||
| requirements.txt | ||
The Algorithms - Python
All algorithms implemented in Python (for education)
These implementations are for learning purposes. They may be less efficient than the implementations in the Python standard library.
Owners
Anup Kumar Panwar [Gmail GitHub LinkedIn]
Chetan Kaushik [Gmail GitHub LinkedIn]
Contribution Guidelines
Read our Contribution Guidelines before you contribute.
Community Channel
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Algorithms
See our directory.