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