Cleanup unused code

[jtpio]

Brief description of what is fixed or changed

Fixes #555

Follow-up to #547

Also tweak the "Try NumPy" title so it's centered:

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[jarrodmillman]

This looks great! One minor nit, would it be possible to add the gray background to the Try NumPy heading / text

Just to make it clear that the Try NumPy is part of the gray box below it.

[stefanv]

One thing I noticed: matplotlib works in these cells, but not until you've typed %matplotlib inline. Is there a way to set up the notebook so that matplotlib works out of the box?

[jtpio]

This looks great! One minor nit, would it be possible to add the gray background to the Try NumPy heading / text

Done in 812928a

[jtpio]

but not until you've typed %matplotlib inline. Is there a way to set up the notebook so that matplotlib works out of the box?

This seems fine when using the following code snippet?

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 10, 1000)
plt.plot(x, np.sin(x));

plt.show()

[stefanv]

Ah, okay: I guess no one uses plt.show in notebooks, so I didn't even think to try it.

[jobovy]

@stefanv: Once jtpio/replite#24 is merged, it would be possible to pre-run %matplotlib inline so users wouldn't have to do plt.show(). I would think that's better, although in my documentation experience, users have found it confusing when %matplotlib inline is silently assumed for code examples (lots of emails asking why plots don't show up for them from novice Python users). So another option would be to have it be part of the first import numpy as np cell (but that might lead to its own confusion...)

[stefanv]

@jobovy Yes, explicit is probably better. We could, e.g., add a tab to the existing NumPy example snippet, so that we have multiple snippets—one of which can show how to plot.

[jtpio]

e.g., add a tab to the existing NumPy example snippet

This sounds good.

At a later stage we could even consider having an (opt-in) console closer to the examples using matplotlib, for instance here: https://numpy.org/doc/stable/reference/generated/numpy.absolute.html:

[stefanv]

Thanks @jtpio!