Nicolás Guarín-Zapata nicoguaro
nicoguaro
/ cst_paper.mplstyle
Created
September 9, 2024 20:55
Stylesheet for matplotlib for 2018 CCST paper
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| # Stylesheet for matplotlib | |
| # | |
| # Author: Nicolas Guarin-Zapata | |
| # Date: September, 2018 | |
| ### Math Text | |
| mathtext.fontset : cm | |
| ### Text | |
| text.color : 757575 |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Generate a dragon curve | |
| @author: Nicolás Guarín-Zapata | |
| @date: July 2024 | |
| """ | |
| import os | |
| import numpy as np | |
| import matplotlib.pyplot as plt |
nicoguaro
/ randomized_integration.py
Created
July 22, 2024 22:29
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.integrate import trapezoid, simpson, quad | |
| repo = "https://raw.githubusercontent.com/nicoguaro/matplotlib_styles/master" | |
| style = repo + "/styles/clean.mplstyle" | |
| plt.style.use(style) | |
| plt.rcParams["font.size"] = 20 | |
| plt.rcParams["lines.linewidth"] = 3 |
nicoguaro
/ flips_coins.py
Created
June 7, 2024 21:38
Flip a fair coin 100 times—it gives a sequence of heads (H) and tails (T). For each HH in the sequence of flips, Alice gets a point; for each HT, Bob does, so e.g. for the sequence THHHT Alice gets 2 points and Bob gets 1 point. Who is most likely to win?
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| # -*- coding: utf-8 -*- | |
| """ | |
| Flip a fair coin 100 times—it gives a sequence of heads (H) | |
| and tails (T). For each HH in the sequence of flips, Alice | |
| gets a point; for each HT, Bob does, so e.g. for the | |
| sequence THHHT Alice gets 2 points and Bob gets 1 point. | |
| Who is most likely to win? | |
| https://x.com/littmath/status/1769044719034647001 |
nicoguaro
/ environment.yml
Last active
June 18, 2024 02:04
Visualize origami configurations using Matplotlib.
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| name: ori-py | |
| channels: | |
| - conda-forge | |
| dependencies: | |
| - python | |
| - numpy | |
| - scipy | |
| - matplotlib | |
| - jupyterlab | |
| - pyvista |
nicoguaro
/ hermite_quintic.ipynb
Created
May 17, 2024 22:49
Hermite interpolation using quintic polynomials
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| import numpy as np | |
| from numpy.polynomial import Polynomial | |
| rng = np.random.default_rng() | |
| x = np.arange(10) | |
| y = np.arange(10) + 0.01*rng.standard_normal(10) | |
| p_fitted = np.polynomial.Polynomial.fit(x, y, deg=1) |
nicoguaro
/ SLR_wordcloud.py
Created
October 8, 2023 18:04
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| # -*- coding: utf-8 -*- | |
| import matplotlib.pyplot as plt | |
| from wordcloud import WordCloud, STOPWORDS | |
| #%% | |
| f = open('output_file.txt', 'r', encoding="utf8") | |
| text = f.read() | |
| f.close() |
nicoguaro
/ 01a_fem1d_global_sym.ipynb
Last active
September 29, 2023 01:57
Notebooks con implementaciones sencillas del método de elementos finitos para la ecuación de Poisson y de Helmholtz.
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from skimage import measure | |
| y, x, z = np.mgrid[-2:2:100j, -2:2:100j, -2:2:100j] | |
| f = (x**2 + 9/4*y**2 + z**2 - 1)**3 - x**2 * z**3 - 9/80*y**2*z**3 | |
| verts, faces, _, _ = measure.marching_cubes(f, 0, spacing=(0.1, 0.1, 0.1)) | |
| fig = plt.figure() |
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