A set of frist-order chemical reactions can be described by the following system of differential equations:
$$\begin{array}{lr} \cfrac{dC_1(t)}{dt} = & -2 C_1(t) + C_2(t) + C_3(t)\\ \cfrac{dC_2(t)}{dt} = & 2 C_1(t) - 4 C_2(t)\\ \cfrac{dC_3(t)}{dt} = & 3 C_2(t) - C_3(t)\\ \end{array}$$Answer the following questions:
linalg.All your functions must have docstrings for full credit.
[4] Create a button and text input, where the value of the text box is printed out. Make it so that the output area is cleared each time the button is pressed.
[4] Create a button that prints a random integer from 0 to 10 using the random.randint function.
[4] Make a list of strings. Using your button from part 2, now have it print a random string from your list.
[8] Take the following matrix: [[3, 2, -6], [2, 6, 4], [3, 4, 0]] and use an interaction widget to display its eigenvalues and eigenvectors. Your slider should go from 0 to 2 and each value should result in a latex display showing the eigenvalue and eigenvector. Note that Python eats {} in strings, so you'll have to use {{}}. This is called escaping. Python also eats many things that have a backslash. For example, \b means backspace to python. And \\ means \ in python. So you'll have to write \\ when you want LaTeX to see \ and in general use some trial in error about backslashes. You can never have too many though! For example, write \\begin{{array}} to start your matrix. Use three ''' for example''' to have a string that spans multiple lines. Summary comic. Practice getting the LaTeX correct before putting it all together.
Compute the following integrals using scipy. Report all your answers using display.Latex and only three decimal places.
$$\int_0^1 \sin^2(x)\, dx$$
$$\int_0^\infty x^{-2}\, dx$$
Integrate the normal distribution with $\sigma = 2$, $\mu = -4$ from $-2$ to $2$. Do not use scipy.stats
In [87]:
data_5_x = [0.0, 0.2857, 0.5714, 0.8571, 1.1429, 1.4286, 1.7143, 2.0, 2.2857, 2.5714, 2.8571, 3.1429, 3.4286, 3.7143, 4.0, 4.2857, 4.5714, 4.8571, 5.1429, 5.4286, 5.7143, 6.0, 6.2857, 6.5714, 6.8571, 7.1429, 7.4286, 7.7143, 8.0, 8.2857, 8.5714, 8.8571, 9.1429, 9.4286, 9.7143, 10.0, 10.2857, 10.5714, 10.8571, 11.1429, 11.4286, 11.7143, 12.0, 12.2857, 12.5714, 12.8571, 13.1429, 13.4286, 13.7143, 14.0]
data_5_y = [67.9925, 67.5912, 67.4439, 66.7896, 66.4346, 66.3176, 65.7527, 65.1487, 65.7247, 65.1831, 64.5981, 64.5213, 63.6746, 63.9106, 62.6127, 63.3892, 62.6511, 62.601, 61.9718, 60.5553, 61.5862, 61.3173, 60.5913, 59.7061, 59.6535, 58.9301, 59.346, 59.2083, 60.3429, 58.752, 57.6269, 57.5139, 59.0293, 56.7979, 56.2996, 56.4188, 57.1257, 56.1569, 56.3077, 55.893, 55.4356, 56.7985, 55.6536, 55.8353, 54.4404, 54.2872, 53.9584, 53.3222, 53.2458, 53.7111]