## Random sampling in numpy | ranf() function

numpy.random.ranf() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats… Read More »

## Random sampling in numpy | random() function

numpy.random.random() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats… Read More »

## Random sampling in numpy | random_sample() function

numpy.random.random_sample() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats… Read More »

## Random sampling in numpy | sample() function

numpy.random.sample() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats… Read More »

## Random sampling in numpy | random_integers() function

numpy.random.random_integers() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random integers… Read More »

## Random sampling in numpy | randint() function

numpy.random.randint() is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random integers… Read More »

## rand vs normal in Numpy.random in Python

About random: For random we are taking .rand() numpy.random.rand(d0, d1, …, dn) : creates an array of specified shape and fills it with random values.… Read More »

## numpy.random.randn() in Python

About : numpy.random.randn(d0, d1, …, dn) : creates an array of specified shape and fills it with random values as per standard normal distribution. If… Read More »

## numpy.random.rand() in Python

About : numpy.random.rand(d0, d1, …, dn) : creates an array of specified shape and fills it with random values. Parameters : d0, d1, …, dn… Read More »