Python please

1 Practice Numpy (25pt) Please use Numpy build-in function to solve the problems below, For those problems that I did not cover in class, you can find them in supplement part of my notebook or 3, column- 2. Create an array with random number (nprandom.randn), size =100, count the 3. Create an random uniform 'array' with shape (7, 7), low value10, high you can check the official document. 1. Use Numpy to create a zeros array with shape (3, 4) (here row 4), convert it to float64 data type. number whose value smaller than 0.4, and also return the ratio of it. value 10. convert the array to an 'new array', which change the value to largest integer less than or equal to the value if the value in 'array' is smaller than 0 change the value to smallest integer greater than or equal to this value if the 'array is greater or equal to 0 4. Generate a normal distribution random number, with N(1,2), size 1000, com 5. Generate a random integer array, with size 100, return the index of largest and 6. Fit a line, y pute its mean, variance, skewness, and kurtosis. smallest one. mx c, through some noisy data-points: x = np.array([0. 1, 2, 3) y np.array(I-2.4, 0.5, 1.9, 4.1D return m and c by using Istsq method