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### numpy.ogrid function with example in python

numpy.ogrid(): This function returns mesh-grid ndarrays with only one dimension :math:neq 1 numpy.ogrid = <numpy.lib.index_tricks.OGridClass object> nd_grid instance which returns an open multi-dimensional “meshgrid”. An…

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### numpy.mgrid function with example program in python

numpy.mgrid function(): This funtion returns  mesh-grid ndarrays all of the same dimensions numpy.mgrid = <numpy.lib.index_tricks.MGridClass object>¶ nd_grid instance which returns a dense multi-dimensional “meshgrid”. An…

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### numpy.geomspace() function with example program in python

numpy.geomspace(): This function return numbers spaced evenly on a log scale (a geometric progression). Syntax: numpy.geomspace(start, stop, num=50, endpoint=True, dtype=None, axis=0) This is similar to…

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### numpy.logspace() function with example in python

numpy.logspace(): This  function return numbers spaced evenly on a log scale. Syntax: numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0) In linear space, the sequence starts…

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### numpy.linspace() function with example program in python | 2019

numpy.linspace(): This function Return evenly spaced numbers over a specified interval  and num evenly spaced samples, calculated over the interval [start, stop]. Syntax: numpy.linspace(start, stop,…

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### numpy.arange() function with example in python | 2019

numpy.arange() : If you want generate a sequence of numbers, arange() function is very helpful. It has regular range of numbers and with specific interval…

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### numpy.random.standard_normal() function with example in python

numpy.random.standard_normal(): This function draw samples from a standard Normal distribution (mean=0, stdev=1). Syntax: numpy.random.standard_normal(size=None) Parameters: size : int or tuple of ints, optional Output shape….

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### numpy.random.randint() function with example in python

numpy.random.randint() function: This function return random integers from low (inclusive) to high (exclusive). Return random integers from the “discrete uniform” distribution of the specified dtype…

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### numpy.random.randn() function with example in python | 2019

numpy.random.randn() function: This function return a sample (or samples) from the “standard normal” distribution. If positive, int_like or int-convertible arguments are provided, randn generates an…