#!/usr/bin/env python
# coding: utf-8

# ## Plotting example in modern Jupyter
# 
# (In regards to https://stackoverflow.com/q/79533574/8508004 )
# 
# You can run this from  [JupyterLab 4.3 on Binder](https://gist.github.com/jtpio/f3f7aed7c87bb15e07009bb29a601ed8).  
# Or [here](https://gist.github.com/fomightez/6773dedf6d5132795dd4245a18c066eb), if you'd like Python 3.12 at this time. 
# 
# From other one of those Launch that in your browser by hitting '`launch binder`'.   
# When the session comes up, open a new notebook. 
# If you choose the first as the launch resource, then furst run `%pip install numpy matplotlib` to install those two packages. Restart the kernel and run the plotting code below.
# 
# You can skip the installation step if you used the second at this time. Runt the plotting code below.
# 

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get_ipython().run_line_magic('pip', "install numpy matplotlib # need if you use jtpio's as source launch at this time")


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import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(-10, 10, 100)
y = np.sin(x)

plt.plot(x, y, marker="x");


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