Jupyter at Bryn Mawr College
Public notebooks: /services/public/dblank

1. Telling Stories with Jupyter Notebooks

Doug Blank
Bryn Mawr College
Department of Computer Science

For telling stories in Digital Humanities, Mathematics, Sciences, Art, and Computing.

1.1 Markdown

Simple formatting including bold, italics, strike through, lists, links, etc.

  1. Thing one
  2. Thing two
  3. Thing three

This is a quote from an important person. - Me

1.1.1 HTML

Can mix in HTML in the Markdown.

1.1.2 Images

Including images:

1.1.3 Equations

1.1.3.1 Maxwell's Equations

\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}

1.1.3.2 Probability

The probability of getting $k$ heads when flipping $n$ coins:

\begin{equation*} P(E) = {n \choose k} p^k (1-p)^{ n-k} \end{equation*}

1.2 StoryMapJS

From storymap.KnightLab.com

Computing

Biology simulation.

In [23]:
%%simulation

#right turns
0 ***** -> forward(1)    1
1 ***** -> turnRight(90) 2
2 ***** -> forward(1)    3
3 ***** -> turnRight(90) 4
4 ***** -> forward(1)    5
5 ***** -> turnRight(90) 6
6 ***** -> forward(2)    7
7 ***** -> turnRight(90) 8
8 ***** -> forward(2)    9
9 ***** -> turnRight(90)  10
10 ***** -> forward(2)    11
11 ***** -> turnRight(90) 12
12 ***** -> forward(3)    13
13 ***** -> turnRight(90) 14
14 ***** -> forward(3)    15

#left turns
15 ***** -> turnLeft(90)  16
16 ***** -> forward(1)    17
17 ***** -> turnLeft(90)  18
18 ***** -> forward(4)    19
19 ***** -> turnLeft(90)  20
20 ***** -> forward(4)    21
21 ***** -> turnLeft(90)  22
22 ***** -> forward(4)    23
23 ***** -> turnLeft(90)  24
24 ***** -> forward(5)    25
25 ***** -> turnLeft(90)  26
26 ***** -> forward(5)    27
27 ***** -> turnLeft(90)  28
28 ***** -> forward(5)    29
29 ***** -> turnLeft(90)  30
30 ***** -> forward(6)    31
31 ***** -> turnLeft(90)  32
32 ***** -> forward(6)    33
33 ***** -> turnLeft(90)  34
34 ***** -> forward(6)    35

#right turns
35 ***** -> turnRight(90) 36
36 ***** -> forward(1)    37
37 ***** -> turnRight(90) 38
38 ***** -> forward(7)    39
39 ***** -> turnRight(90) 40
40 ***** -> forward(7)    41
41 ***** -> turnRight(90) 42
42 ***** -> forward(7)    43
43 ***** -> turnRight(90) 44
44 ***** -> forward(8)    45
45 ***** -> turnRight(90) 46
46 ***** -> forward(8)    47
47 ***** -> turnRight(90) 48
48 ***** -> forward(8)    49
49 ***** -> turnRight(90) 50
50 ***** -> forward(9)    51
51 ***** -> turnRight(90) 52
52 ***** -> forward(9)    53
53 ***** -> turnRight(90) 54
54 ***** -> forward(9)    55
55 ***** -> turnRight(90) 56
56 ***** -> forward(8)    57
57 ***** -> forward(2)    58
58 ***** -> turnRight(90) 59
59 ***** -> forward(8)    60
60 ***** -> forward(4)    61
61 ***** -> turnRight(90) 62
62 ***** -> forward(9)    63
63 ***** -> forward(3)    64
64 ***** -> turnRight(90) 65
65 ***** -> forward(8)    66
66 ***** -> forward(5)    67
67 ***** -> turnRight(90) 68
68 ***** -> forward(9)    69
69 ***** -> forward(4)    70
70 ***** -> turnRight(90) 71
71 ***** -> forward(5)    72

#turn left
72 ***** -> turnLeft(90)  73
73 ***** -> forward(9)    74
74 ***** -> turnLeft(90)  75
75 ***** -> forward(9)    76
76 ***** -> forward(9)    77
77 ***** -> forward(1)    1

Computing and Visualization

In [17]:
import pandas as pd
import numpy as np
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,
                      columns=['A', 'B', 'C', 'D']) 
df = df.cumsum()
In [16]:
%matplotlib inline
import matplotlib.pyplot as plt
In [22]:
plt.figure()
df.plot()
plt.legend(loc='best')
Out[22]:
<matplotlib.legend.Legend at 0x7ff6231876a0>
<matplotlib.figure.Figure at 0x7ff623190fd0>