Skip to content

Commit 28e8ddb

Browse files
cstenkampcstenkamp
authored
Create master branch via GitHub
1 parent 9be2f02 commit 28e8ddb

File tree

5 files changed

+727
-0
lines changed

5 files changed

+727
-0
lines changed

‎index.html

Lines changed: 255 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,255 @@
1+
<!doctype html>
2+
<html>
3+
<head>
4+
<meta charset="utf-8">
5+
<meta http-equiv="X-UA-Compatible" content="chrome=1">
6+
<title>Scientific Programming in Python by scientificprogrammingUOS</title>
7+
8+
<link rel="stylesheet" href="stylesheets/styles.css">
9+
<link rel="stylesheet" href="stylesheets/github-light.css">
10+
<meta name="viewport" content="width=device-width">
11+
<!--[if lt IE 9]>
12+
<script src="//html5shiv.googlecode.com/svn/trunk/html5.js"></script>
13+
<![endif]-->
14+
</head>
15+
<body>
16+
<div class="wrapper">
17+
<header>
18+
<h1>Scientific Programming in Python</h1>
19+
<p>Lectures for the course &quot;Scientific Programming in Python&quot; at Osnabrück University</p>
20+
21+
<p class="view"><a href="https://github.com/scientificprogrammingUOS/lectures">View the Project on GitHub <small>scientificprogrammingUOS/lectures</small></a></p>
22+
23+
24+
<ul>
25+
<li><a href="https://github.com/scientificprogrammingUOS/lectures/zipball/master">Download <strong>ZIP File</strong></a></li>
26+
<li><a href="https://github.com/scientificprogrammingUOS/lectures/tarball/master">Download <strong>TAR Ball</strong></a></li>
27+
<li><a href="https://github.com/scientificprogrammingUOS/lectures">View On <strong>GitHub</strong></a></li>
28+
</ul>
29+
</header>
30+
<section>
31+
<p><a href="https://mybinder.org/v2/gh/scientificprogrammingUOS/lectures/master?urlpath=lab"><img src="https://mybinder.org/badge_logo.svg" alt="Binder"></a></p>
32+
<h1>
33+
<a id="lectures-in-scientific-computing-in-python" class="anchor" href="#lectures-in-scientific-computing-in-python" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Lectures in Scientific Computing in Python</h1>
34+
<p>This repository contains all lectures from the course
35+
<em>Scientific programming in Python</em> that is part of the Cognitive Science program
36+
at the University Osnabrück. Each lecture is accompanied by a Jupyter notebook
37+
that explains each topic with a combination of code and text. You
38+
can view the notebooks directly on GitHub or run them locally and play
39+
with the code. If you do not want to install anything, click on the Binder
40+
logo above to run all the notebooks in a ready to use environment in the cloud.</p>
41+
<h2>
42+
<a id="recordings" class="anchor" href="#recordings" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Recordings</h2>
43+
<p>All lecture recordings from 2018 and 2019 can be viewed on <a href="https://www.youtube.com/channel/UC_FUSDNAoX8woYbGXaFdtvw">Youtube</a> and on the Opencast platform (which is available only to students of the University of Osnabrück).</p>
44+
<table>
45+
<thead>
46+
<tr>
47+
<th>Lecture</th>
48+
<th>YouTube 2018</th>
49+
<th>Youtube 2019</th>
50+
<th>Opencast 2018</th>
51+
<th>Opencast 2019</th>
52+
</tr>
53+
</thead>
54+
<tbody>
55+
<tr>
56+
<td>Introduction</td>
57+
<td><a href="https://www.youtube.com/watch?v=UmVC3XxkXhI&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=1">View</a></td>
58+
<td>
59+
<a href="https://www.youtube.com/watch?v=uLYuLW_H7c0&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1">Part 1</a>, <a href="https://www.youtube.com/watch?v=835JkTU--9E&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1">Part 2</a>
60+
</td>
61+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=b0079cbf-51b7-47c1-8a38-21147935d249">View</a></td>
62+
<td>
63+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=1581f0ee-b9c7-44ef-a483-0897d3c3de68">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=a7acc8d9-a374-44e7-b538-b98fb2f5f51e">Part 2</a>
64+
</td>
65+
</tr>
66+
<tr>
67+
<td>Basic Python</td>
68+
<td><a href="https://www.youtube.com/watch?v=awAl94Rx0u8&amp;index=2&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl">View</a></td>
69+
<td>
70+
<a href="https://www.youtube.com/watch?v=-I37mS8_7Dc&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1">Part 1</a>, <a href="https://www.youtube.com/watch?v=7GdEJkcoHvI&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1">Part 2</a>
71+
</td>
72+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=f41dc9ef-c846-4f07-a7a8-b87b92cd82f9">View</a></td>
73+
<td>
74+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=342723fe-5c97-4d19-9f30-f43c5d0bc9d8">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=1c46a715-f965-4c63-92c1-b6d022d22c52">Part 2</a>
75+
</td>
76+
</tr>
77+
<tr>
78+
<td>Advanced Python</td>
79+
<td><a href="https://www.youtube.com/watch?v=s01yqt2fxwk&amp;index=3&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl">View</a></td>
80+
<td>
81+
<a href="https://www.youtube.com/watch?v=L-C9mwFmxpc&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=6">Part 1</a>, <a href="https://www.youtube.com/watch?v=YDHlRnwoWQg&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=7">Part 2</a>
82+
</td>
83+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=fcb80388-4dc3-4336-bec4-a294ccc096de">View</a></td>
84+
<td>
85+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=e0415562-98d4-4a21-95c9-484acb775119">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=a0fd26c4-85a8-48a7-8d3f-f085532b5548">Part 2</a>
86+
</td>
87+
</tr>
88+
<tr>
89+
<td>Numpy</td>
90+
<td><a href="https://www.youtube.com/watch?v=oxo-3fDJE6M&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=4">View</a></td>
91+
<td>
92+
<a href="https://www.youtube.com/watch?v=v603JUrsIr4&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=8">Part 1</a>, <a href="https://www.youtube.com/watch?v=DH6FuWjxQiA&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=9">Part 2</a>
93+
</td>
94+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=f695daea-8ee4-473b-8684-c46cbef62586">View</a></td>
95+
<td>
96+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=b1410913-3857-485b-ab6c-2acf89dfce87">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=3921cc73-a4ee-450f-8002-22344b9e3260">Part 2</a>
97+
</td>
98+
</tr>
99+
<tr>
100+
<td>Matplotlib</td>
101+
<td><a href="https://www.youtube.com/watch?v=VmWEcqdcqa4&amp;index=5&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl">View</a></td>
102+
<td>
103+
<a href="https://www.youtube.com/watch?v=phfZTV94qp8&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=10">Part 1</a>, <a href="https://www.youtube.com/watch?v=oJy2SyWFc20&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=11">Part 2</a>
104+
</td>
105+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=3a01b270-efc0-4d38-8457-586ec2fc6886">View</a></td>
106+
<td>
107+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=bcc3363e-9ab4-4212-bec8-b89054fe33ae">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=39f91b82-c484-4765-88e1-3df771c9cbbb">Part 2</a>
108+
</td>
109+
</tr>
110+
<tr>
111+
<td>Basic Pandas</td>
112+
<td><a href="https://www.youtube.com/watch?v=AHXj14joofo&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=6">View</a></td>
113+
<td>
114+
<a href="https://www.youtube.com/watch?v=P4t3E5PgCI8&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=12">Part 1</a>, <a href="https://www.youtube.com/watch?v=u92m5yRUHJc&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=13">Part 2</a>
115+
</td>
116+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=0b158123-ecdb-4081-a13a-4a13c57cfeac">View</a></td>
117+
<td>
118+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=fefe0cf1-4aed-4bbe-88e0-5902b54c3c41">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=e0015e0f-504d-4ed6-945e-4404a2494d60">Part 2</a>
119+
</td>
120+
</tr>
121+
<tr>
122+
<td>Pandas: Cleaning Data</td>
123+
<td><a href="https://www.youtube.com/watch?v=Yw2uqr__5-M&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=7">View</a></td>
124+
<td>
125+
<a href="https://www.youtube.com/watch?v=A_xLroDojDc&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=14">Part 1</a>, <a href="https://www.youtube.com/watch?v=rH0oehOhixY&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=15">Part 2</a>
126+
</td>
127+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=e077a983-89b3-40f7-818c-4cd34906f41f">View</a></td>
128+
<td>
129+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=df86ac4b-332f-4554-8d54-116696ba668b">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=b2c16421-5c00-438a-8e4a-50493062950c">Part 2</a>
130+
</td>
131+
</tr>
132+
<tr>
133+
<td>Pandas: Analyzing Data &amp; Time Series</td>
134+
<td><a href="https://www.youtube.com/watch?v=QAiFhPNZ4hU&amp;index=8&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl">View</a></td>
135+
<td>
136+
<a href="https://www.youtube.com/watch?v=sU3SJG_mJL0&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=16">Part 1</a>, <a href="https://www.youtube.com/watch?v=_OsV2hlPAIQ&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=17">Part 2</a>
137+
</td>
138+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=4f440f84-8de7-4336-8f3f-b8f5764d84f3">View</a></td>
139+
<td>
140+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=d2a54683-4c1f-4b0e-976a-649e21bc9f00">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=5bbdc5c5-723c-4608-993d-2882c0638547">Part 2</a>
141+
</td>
142+
</tr>
143+
<tr>
144+
<td>Debugging in Pycharm</td>
145+
<td></td>
146+
<td><a href="https://www.youtube.com/watch?v=RKgCuN3jg0w&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=18">View</a></td>
147+
<td></td>
148+
<td><a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=6e0b9236-a71f-45fb-be6f-8128eb9c11ee">View</a></td>
149+
</tr>
150+
<tr>
151+
<td>Statistical Visualization (ggplot, seaborn)</td>
152+
<td><a href="https://www.youtube.com/watch?v=k371NeL-7tM&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=9">View</a></td>
153+
<td>
154+
<a href="https://www.youtube.com/watch?v=bIVrkNMjOx8&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=21">Part 1</a>, <a href="https://www.youtube.com/watch?v=3wkbry7YiAI&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=22">Part 2</a>
155+
</td>
156+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=79bce1f2-48e3-407b-8a1d-caf2a74e5517">View</a></td>
157+
<td>
158+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=cef6e799-ac3f-4612-ba85-505e5ca6ef9d">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=f3f364cf-fcfe-464c-91f4-35580bbe1d2d">Part 2</a>
159+
</td>
160+
</tr>
161+
<tr>
162+
<td>Statistical Modeling (statsmodels)</td>
163+
<td><a href="https://www.youtube.com/watch?v=1Ba9LmyJ1ko&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=10">View</a></td>
164+
<td>
165+
<a href="https://www.youtube.com/watch?v=npM0J-e-35s&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=23">Part 1</a>, <a href="https://www.youtube.com/watch?v=WXR-AEjOUNI&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=24&amp;t=0s">Part 2</a>
166+
</td>
167+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=634cd5c8-0227-4c19-9400-e348b53b2bf0">View</a></td>
168+
<td>
169+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=90d3b2ee-f346-4932-84c1-69de535fc901">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=40f29cc0-b24b-427c-bf83-548411644450">Part 2</a>
170+
</td>
171+
</tr>
172+
<tr>
173+
<td>Experiments (expyriment)</td>
174+
<td><a href="https://www.youtube.com/watch?v=YEt6Eww26s4&amp;index=11&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl">View</a></td>
175+
<td>
176+
<a href="https://www.youtube.com/watch?v=9lR2Uk0nRD0&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=19">Part 1</a>, <a href="https://www.youtube.com/watch?v=RTwzombMuls&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=20">Part 2</a>
177+
</td>
178+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=a34a0164-19da-406b-b1e1-3570ebcdc8d4">View</a></td>
179+
<td>
180+
<a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=f4510a77-f4d7-4065-9426-360a7f848d6e">Part 1</a>, <a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=8114a025-fbcf-49f9-8ba8-cfc47755a1db">Part 2</a>
181+
</td>
182+
</tr>
183+
<tr>
184+
<td>Study: A to Z, Scikit-Learn, Parallelism</td>
185+
<td><a href="https://www.youtube.com/watch?v=BV35GhsqmuE&amp;list=PL7Rs54JKuEjFRyyhtJy2eDOhqTtmWpXzl&amp;index=12">View</a></td>
186+
<td></td>
187+
<td><a href="https://video4.virtuos.uos.de/engage/theodul/ui/core.html?cid=a18d5bd1b862d194bcd7b56bca95c32f&amp;id=6d4e5f5e-727f-4834-80db-4322a86b0a96">View</a></td>
188+
<td></td>
189+
</tr>
190+
<tr>
191+
<td>Interactive Visualization (Widgets, Altair)</td>
192+
<td></td>
193+
<td><a href="https://www.youtube.com/watch?v=o1ApUz6dEi8&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=25">View</a></td>
194+
<td></td>
195+
<td><a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=2a67645e-8aab-4444-8e9a-8455dfff107c">View</a></td>
196+
</tr>
197+
<tr>
198+
<td>Data Exploration, Performance-Optimization</td>
199+
<td></td>
200+
<td><a href="https://www.youtube.com/watch?v=b_hL6ITo0aM&amp;list=PL7Rs54JKuEjE5PV8m3ksRuq_-DxLP8Kq1&amp;index=26">View</a></td>
201+
<td></td>
202+
<td><a href="https://video4.virtuos.uni-osnabrueck.de/paella/ui/watch.html?cid=48c679d3c81e6414ab61bba835ecae97&amp;id=ccb55af9-2081-445f-a76e-7b36fa4313e0">View</a></td>
203+
</tr>
204+
</tbody>
205+
</table>
206+
<p>To view the Jupyter Notebooks corresponding to the videos of the respective years, access this repository's state from <a href="https://github.com/scientificprogrammingUOS/lectures/tree/v2018">2018</a> or <a href="https://github.com/scientificprogrammingUOS/lectures/tree/v2019">2019</a>, respectively. To access the videos in the better Opencast-player, make sure you're logged into Myuos before clicking the link.</p>
207+
<h2>
208+
<a id="installation" class="anchor" href="#installation" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Installation</h2>
209+
<p>Create a virtual Python environment, name e.g. <em>scientific</em>, for example using <code>conda</code>.</p>
210+
<pre><code>$ conda env create -f environment.yml
211+
</code></pre>
212+
<p>Activate the environment</p>
213+
<pre><code>$ conda activate scientific
214+
</code></pre>
215+
<p>you might see some error like <code>your shell has not been set up to use conda activate</code>. Follow the instructions given in your shell to make it work.</p>
216+
<p>then start JupyterLab</p>
217+
<pre><code>$ jupyter lab
218+
</code></pre>
219+
<p>JupyterLab should open in your browser. From there you can navigate to the notebooks
220+
and interact with them.</p>
221+
<h2>
222+
<a id="contributing" class="anchor" href="#contributing" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Contributing</h2>
223+
<p>Before committing changes, run the whole notebook from top to bottom using (for <code>fish</code>)</p>
224+
<pre><code>$ env RUNALL=1 jupyter nbconvert --execute --allow-errors --inplace lecture.ipynb
225+
</code></pre>
226+
<p>for <code>bash</code></p>
227+
<pre><code>$ export RUNALL=1 jupyter nbconvert --execute --allow-errors --inplace lecture.ipynb
228+
</code></pre>
229+
<p>To make new interactive exercises install <a href="https://github.com/rmotr/jupyterlab-solutions">jupyter-solutions</a> and set up as teacher, by setting</p>
230+
<pre><code>c.JupyterLabRmotrSolutions.role = "teacher"
231+
</code></pre>
232+
<p>in the repositories <code>jupyter_notebook_config.py</code>.</p>
233+
<p>Only use markdown headers to structure the lectures. Numbering will be automatically handled by the <a href="https://github.com/jupyterlab/jupyterlab-toc">jupyterlab-toc extension</a>.
234+
Also use markdown to talk about the content of the lecture and the next cells. Use comments only if you want to highlight something in a specific line of code.
235+
If you write comments, write them in full sentences.</p>
236+
<p>Use <a href="https://github.com/jupyter/nbdime"><code>nbdime</code></a> to make working with notebooks and git easier</p>
237+
<pre><code>pip install nbdime
238+
nbdime config-git --enable
239+
</code></pre>
240+
<h2>
241+
<a id="acknowledgments" class="anchor" href="#acknowledgments" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Acknowledgments</h2>
242+
<ul>
243+
<li>Some parts of this lecture base on Jake VanderPlas' <a href="https://jakevdp.github.io/PythonDataScienceHandbook/">Python Data Science Handbook</a>, which is a very good source for Scientific Python.</li>
244+
<li>Thanks to <a href="https://github.com/aauss">Auss Abbood</a> for making 2018's videos YouTube ready!</li>
245+
</ul>
246+
</section>
247+
<footer>
248+
<p>This project is maintained by <a href="https://github.com/scientificprogrammingUOS">scientificprogrammingUOS</a></p>
249+
<p><small>Hosted on GitHub Pages &mdash; Theme by <a href="https://github.com/orderedlist">orderedlist</a></small></p>
250+
</footer>
251+
</div>
252+
<script src="javascripts/scale.fix.js"></script>
253+
254+
</body>
255+
</html>

‎javascripts/scale.fix.js

Lines changed: 17 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,17 @@
1+
var metas = document.getElementsByTagName('meta');
2+
var i;
3+
if (navigator.userAgent.match(/iPhone/i)) {
4+
for (i=0; i<metas.length; i++) {
5+
if (metas[i].name == "viewport") {
6+
metas[i].content = "width=device-width, minimum-scale=1.0, maximum-scale=1.0";
7+
}
8+
}
9+
document.addEventListener("gesturestart", gestureStart, false);
10+
}
11+
function gestureStart() {
12+
for (i=0; i<metas.length; i++) {
13+
if (metas[i].name == "viewport") {
14+
metas[i].content = "width=device-width, minimum-scale=0.25, maximum-scale=1.6";
15+
}
16+
}
17+
}

0 commit comments

Comments
 (0)