Write a python code that implements the Forward Euler method to solve the differential equation.  The slope function depends on the unknown solution y(t). Define your slope function so that the model parameters, b, PM, h are input variables in your function definition. Complete your code by writing a loop that calculates the solution for each time point and can plot your final approximate solution.

Write a python program. Add a function called reverse() that outputs a DNA strand in reverse. Example: reverse(AATC) returns CTAA Note: you should not use the built-in reverse method.

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Given a vector of real numbers r = (r1, r2, ..., rm). We can standardize the vector using the formulation: vi = "im, where m ri-m is the mean of the vector r, and s is the standard deviation of r. The vector v = (v1, v2, ..., Un) will be the scaled vector. Write a Python function scale_vec (r) that takes the vector r as input and returns the scaled vector v. Sample inputs and outputs: ● Input: np.array([1, 3, 5]), output: [-1.22474487 0. 1.22474487] • Input: np. array([3.3, 1.2, -2.7, -0.6]), output: [1.35457092 0.40637128 -1.35457092 -0.40637128] Hint: Use numpy.mean and numpy.std with default parameters. # Write your function here. Let's test your function. [ ] import numpy as np print (scale_vec (np.array([1, 3, 5]))) print (scale_vec (np.array([3.3, 1.2, -2.7, -0.6])))