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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Title
Step1:  This is some text, here comes some latex
Step2:  Apos?
Step3:  Javascript plots
plotly
Step4:  bokeh
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Python Code:
a = 1
a
b = 'pew'
b
%matplotlib inline
import matplotlib.pyplot as plt
from pylab import *
x = linspace(0, 5, 10)
y = x ** 2
figure()
plot(x, y, 'r')
xlabel('x')
ylabel('y')
title('title')
show()
import numpy as np
num_points = 130
y = np.random.random(num_points)
plt.plot(y)
Explanation: Title: Notebook with MD info in the first cell
Slug: md-info-in-cell
Date: 2100-12-31
Tags: Test
Author: Daniel Rodriguez
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur purus mi, sollicitudin ac justo a, dapibus ultrices dolor. Curabitur id eros mattis, tincidunt ligula at, condimentum urna. Morbi accumsan, risus eget porta consequat, tortor nibh blandit dui, in sodales quam elit non erat. Aenean lorem dui, lacinia a metus eu, accumsan dictum urna. Sed a egestas mauris, non porta nisi. Suspendisse eu lacinia neque. Morbi gravida eros non augue pharetra, condimentum auctor purus porttitor.
Header 2
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%%latex
\begin{align}
\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
\nabla \cdot \vec{\mathbf{B}} & = 0
\end{align}
Explanation: This is some text, here comes some latex
End of explanation
import re
text = 'foo bar\t baz \tqux'
re.split('\s+', text)
Explanation: Apos?
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from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
from plotly.graph_objs import Scatter, Figure, Layout
init_notebook_mode(connected=True)
iplot([{"x": [1, 2, 3], "y": [3, 1, 6]}])
Explanation: Javascript plots
plotly
End of explanation
from bokeh.plotting import figure, output_notebook, show
output_notebook()
p = figure()
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
show(p)
Explanation: bokeh
End of explanation
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