-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest-notebook.html
433 lines (367 loc) · 23.7 KB
/
test-notebook.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
<!DOCTYPE html>
<html lang="en">
<head>
<title>Sample Notebook</title>
<meta charset="utf-8" />
<link href="https://shapiromh.github.io/feeds/all.atom.xml" type="application/atom+xml" rel="alternate" title="Anything But Economist Full Atom Feed" />
<link href="https://shapiromh.github.io/feeds/testing.atom.xml" type="application/atom+xml" rel="alternate" title="Anything But Economist Categories Atom Feed" />
<!-- Mobile viewport optimized: j.mp/bplateviewport -->
<meta name="viewport" content="width=device-width,initial-scale=1, maximum-scale=1">
<link rel="stylesheet" type="text/css" href="https://shapiromh.github.io/theme/gumby.css" />
<link rel="stylesheet" type="text/css" href="https://shapiromh.github.io/theme/style.css" />
<link rel="stylesheet" type="text/css" href="https://shapiromh.github.io/theme/pygment.css" />
<script src="https://shapiromh.github.io/theme/js/libs/modernizr-2.6.2.min.js"></script>
</head>
<body id="index" class="home">
<div class="container">
<div class="row">
<header id="banner" class="body">
<h1><a href="https://shapiromh.github.io">Anything But Economist <strong></strong></a></h1>
</header><!-- /#banner -->
<div id="navigation" class="navbar row">
<a href="#" gumby-trigger="#navigation > ul" class="toggle"><i class="icon-menu"></i></a>
<ul class="columns">
<li><a href="https://shapiromh.github.io">Home</a></li>
<li><a href="http://shapiromh.com">Academic Site</a></li>
</ul>
</div>
<section id="content" class="body">
<div class="row">
<div class="eleven columns">
<header>
<h2 class="entry-title">
<a href="https://shapiromh.github.io/test-notebook.html" rel="bookmark"
title="Permalink to Sample Notebook">Sample Notebook</a></h2>
</header>
<footer class="post-info">
<abbr class="published" title="2015-05-04T01:47:00-05:00">
Mon 04 May 2015
</abbr>
<address class="vcard author">
By <a class="url fn" href="https://shapiromh.github.io/author/matthew-h-shapiro.html">Matthew H. Shapiro</a>
</address>
</footer><!-- /.post-info -->
<div class="entry-content">
<p>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>This is a test of IPython notebook's integration into the blog.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In [1]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">1000</span><span class="p">)</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span> <span class="o">/</span> <span class="mi">4</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="s1">'r-'</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area"><div class="prompt"></div>
<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYAAAAEACAYAAAC6d6FnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
>
</div>
</div>
</div>
</div>
</div></p>
</div><!-- /.entry-content -->
<div class="comments">
<h3>Comments</h3>
<div id="disqus_thread"></div>
<script type="text/javascript">
var disqus_identifier = "test-notebook.html";
(function() {
var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
dsq.src = 'http://anythingbuteconomist.disqus.com/embed.js';
(document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
})();
</script>
</div>
</div><!-- /.eleven.columns -->
<div class="three columns">
<h4>Pages</h4>
<ul>
<li><a href="http://shapiromh.com">Academic Site</a></li>
</ul>
<h4>Categories</h4>
<ul>
<li><a href="https://shapiromh.github.io/category/misc.html">misc</a></li>
<li><a href="https://shapiromh.github.io/category/scraping.html">scraping</a></li>
<li><a href="https://shapiromh.github.io/category/testing.html">testing</a></li>
</ul>
<h4>Tags</h4>
<ul>
</ul>
</div> </div><!-- /.row -->
</section>
</div><!-- /.row -->
</div><!-- /.container -->
<div class="container.nopad bg">
<footer id="credits" class="row">
<div class="seven columns left-center">
<address id="about" class="vcard body">
Proudly powered by <a href="http://getpelican.com/">Pelican</a>,
which takes great advantage of <a href="http://python.org">Python</a>.
<br />
Based on the <a target="_blank" href="http://gumbyframework.com">Gumby Framework</a>
</address>
</div>
<div class="seven columns">
<div class="row">
<ul class="socbtns">
</ul>
</div>
</div>
</footer>
</div>
<script type="text/javascript">
var disqus_shortname = 'anythingbuteconomist';
(function () {
var s = document.createElement('script'); s.async = true;
s.type = 'text/javascript';
s.src = 'http://' + disqus_shortname + '.disqus.com/count.js';
(document.getElementsByTagName('HEAD')[0] || document.getElementsByTagName('BODY')[0]).appendChild(s);
}());
</script>
<script src="https://shapiromh.github.io/theme/js/libs/jquery-1.9.1.min.js"></script>
<script src="https://shapiromh.github.io/theme/js/libs/gumby.min.js"></script>
<script src="https://shapiromh.github.io/theme/js/plugins.js"></script>
</body>
</html>