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All Algorithms implemented in Python
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* updating DIRECTORY.md * Update sierpinski_triangle.py header doc * Remove unused PROGNAME var in sierpinski_triangle.py The PROGNAME var was used to print an image description in the reference code that this implementation was taken from, but it's entirely unused here * Refactor triangle() function to not use list of vertices Since the number of vertices is always fixed at 3, there's no need to pass in the vertices as a list, and it's clearer to give the vertices distinct names rather than index them from the list * Refactor sierpinski_triangle.py to use tuples Tuples make more sense than lists for storing coordinate pairs * Flip if-statement condition in sierpinski_triangle.py to avoid nesting * Add type hints to sierpinski_triangle.py * Add doctests to sierpinski_triangle.py * Fix return types in doctests * Update fractals/sierpinski_triangle.py Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.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 | ||
.flake8 | ||
.gitattributes | ||
.gitignore | ||
.gitpod.yml | ||
.pre-commit-config.yaml | ||
CONTRIBUTING.md | ||
DIRECTORY.md | ||
LICENSE.md | ||
pyproject.toml | ||
README.md | ||
requirements.txt |
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
Getting Started
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List of Algorithms
See our directory for easier navigation and a better overview of the project.