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* Approve functions used as default argumenets * The default value for **seed** is the result of a function call The default value for **seed** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `LinearCongruentialGenerator.__init__()` will only be called once per instance and it ensures that each instance will generate a unique sequence of numbers. * The default value for **backend** is the result of a function call The default value for **backend** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `Aer.get_backend()` is called when the function is definition and that same backend is then reused for function calls. * Update linear_congruential_generator.py * Update ripple_adder_classic.py * Update ripple_adder_classic.py * Update ripple_adder_classic.py * Update ripple_adder_classic.py * Update ripple_adder_classic.py |
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| arithmetic_analysis | ||
| 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 | ||
| fractals | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| 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 | ||
The Algorithms - Python
All algorithms implemented in Python (for education)
These implementations are for learning purposes only. Therefore they may be less efficient than the implementations in the Python standard library.
Contribution Guidelines
Read our Contribution Guidelines before you contribute.
Community Channel
We're on Gitter! Please join us.
List of Algorithms
See our directory.