glazer's wine and spirits

Mon, 04 May 2026 21:25:52 +0000

6.random.shuffle (x [, random])random.shufflerandom.shuffle (x [, random]) 7.random.sample (population, k)random.sample. With random process, the same probability is assigned to all outcomes because each outcome has an equal chance of occurring. Typical examples of random processes include drawing a card from a. numpy.random.uniform () numpy.random.uniform (low,high,size) [low,high) lowhigh. : low: . random_state random_state=42 .