Give gauss function for the Gaussian Function challange

[Scottan]

in Chapter 3 numpy and matplotlib gaussian function challenge:

# Gaussian Function

1. Create a function called gauss which will take three arguments (inputs): x, µ, and σ, as defined above. Hint: you may wish to use the NumPy constant pi, and NumPy functions square, sqrt and exp for calcuating the square, square-root and exponential of e respectively for all elements in an array.
2. Create a NumPy array using the Numpy function linspace which will contain 1000 points equally spaced between x=-100 and x=100. Hint: You can print the help documentation of a function with ‘help(name_of_the_function)’.
3. Using the above gauss function and the array, create an array which contains the values of the Gaussian from x=-100 to x=100.
4. Use the ‘matplotlib’ library to plot the curve with µ=0 and σ=10.

give the answer to 1 first, because it is quite involved and time consuming, then students can focus on making the numpy arrays and plotting.

[BMatischen01]

Would it make sense to add this to Chapter 1? It currently doesn't have any exercises on Functions, which I think is covered in the intro course. I think it would be good to have 1-2 exercises for functions there to reinforce attendee's skills.

[Scottan]

Good point. I don't think this challenge is suitable for Chapter 1 because it relies too much on numpy, but the recap would benefit from a simpler challenge on using functions. I'll make a separate issue for that