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This is free and unencumbered software released into the public domain. | |
Anyone is free to copy, modify, publish, use, compile, sell, or | |
distribute this software, either in source code form or as a compiled | |
binary, for any purpose, commercial or non-commercial, and by any | |
means. | |
In jurisdictions that recognize copyright laws, the author or authors | |
of this software dedicate any and all copyright interest in the | |
software to the public domain. We make this dedication for the benefit |
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import numpy as np | |
import matplotlib.pyplot as plt | |
from scipy.spatial import Voronoi | |
def voronoi_finite_polygons_2d(vor, radius=None): | |
""" | |
Reconstruct infinite voronoi regions in a 2D diagram to finite | |
regions. | |
Parameters |
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// SomeProtocol.h | |
@protocol SomeProtocol <NSObject> | |
- (void) protocolMethod; | |
@end | |
// NSObject+SomeProtocolDefaultImplementation.h | |
@interface NSObject(SomeProtocolDefaultImplementation) |
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn | |
from sklearn.cluster import KMeans | |
import numpy as np | |
from scipy.spatial.distance import cdist, pdist | |
def elbow(df, n): | |
kMeansVar = [KMeans(n_clusters=k).fit(df.values) for k in range(1, n)] | |
centroids = [X.cluster_centers_ for X in kMeansVar] |