Raymond Hettinger added the comment:
Equidistributed examples:
choices(c.execute('SELECT name FROM Employees').fetchall(), k=20)
choices(['hearts', 'diamonds', 'spades', 'clubs'], k=5)
choices(list(product(card_facevalues, suits)), k=5)
Weighted selection examples:
Counter(choices(['red', 'black', 'green'], [18, 18, 2], k=3800)) # american
roulette
Counter(choices(['hit', 'miss'], [5, 1], k=600)) # russian
roulette
choices(fetch('employees'), fetch('years_of_service'), k=100) # tenure
weighted
choices(cohort, map(cancer_risk, map(risk_factors, cohort)), k=50) # risk
weighted
Star unpacking example:
transpose = lambda s: zip(*s)
craps = [(2, 1), (3, 2), (4, 3), (5, 4), (6, 5), (7, 6), (8, 5), (9, 4),
(10, 3), (11, 2), (12, 1)]
print(choices(*transpose(craps), k=10))
Comparative APIs from other languages:
http://www.mathworks.com/help/stats/randsample.html
http://docs.scipy.org/doc/numpy/reference/generated/numpy.random.choice.html
https://stat.ethz.ch/R-manual/R-devel/library/base/html/sample.html
https://reference.wolfram.com/language/ref/RandomChoice.html
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<http://bugs.python.org/issue18844>
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