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Sampling intervals: np.<arange|linspace>

Evenly spaced:

• numpy.arange(FIRST = 0, LAST, STEP = 1, dtype=DTYPE)

  Values FIRST to (LAST - STEP) increasing/decreasing by STEP:

  import numpy as np
  a = np.arange(10, 50, 10)
  a
  

  array([10, 20, 30, 40])
  

• numpy.linspace(FIRST, LAST, COUNT = 50, dtype=float)

  Values FIRST to LAST, equally spaced to COUNT instances:

  import numpy as np
  a = np.linspace(10, 50, 5)
  a
  

  array([10., 20., 30., 40., 50.])
  

• Explore: arange with float STEP
• Explore: Default dtype of arange is native int or float
• Explore: Default dtype of linspace is native float
• Explore: Decreasing arange implies STEP < 0
• Explore: Decreasing linspace implies LAST < FIRST