Title: Notebook with Metacell
Slug: with-metacell
Date: 2100-12-31
Tags: Test
Author: Daniel Rodriguez- Status: Draft

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



In [1]:

    
a = 1



In [2]:

    
a









    Out[2]:





1



In [3]:

    
b = 'pew'



In [4]:

    
b









    Out[4]:





'pew'



In [5]:

    
%matplotlib inline



In [6]:

    
import matplotlib.pyplot as plt



In [7]:

    
from pylab import *



In [8]:

    
x = linspace(0, 5, 10)
y = x ** 2



In [9]:

    
figure()
plot(x, y, 'r')
xlabel('x')
ylabel('y')
title('title')
show()



In [10]:

    
import numpy as np



In [11]:

    
num_points = 130
y = np.random.random(num_points)
plt.plot(y)









    Out[11]:





[<matplotlib.lines.Line2D at 0x1084b2050>]

This is some text, here comes some latex



In [12]:

    
%%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}









    





\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}

Apos?



In [1]:

    
import re



In [2]:

    
text = 'foo bar\t baz \tqux'



In [3]:

    
re.split('\s+', text)









    Out[3]:





['foo', 'bar', 'baz', 'qux']

Javascript plots

plotly



In [1]:

    
from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
from plotly.graph_objs import Scatter, Figure, Layout



In [3]:

    
init_notebook_mode(connected=True)



In [4]:

    
iplot([{"x": [1, 2, 3], "y": [3, 1, 6]}])

bokeh



In [5]:

    
from bokeh.plotting import figure, output_notebook, show



In [6]:

    
output_notebook()









    





    
        
        Loading BokehJS ...



In [7]:

    
p = figure()
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
show(p)



In [ ]: