Python motivation

slides/python-pitch.html

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+---
+layout: slides
+title: Why should I use Python?
+root: ..
+---
+<section>
+<h1>{{page.title}}</h1>
+<aside class="notes">
+  Hello, and welcome to the Python section of the Software Carpentry bootcamp.
+</aside>
+</section>
+
+<section>
+  <h2>Python is...</h2>
+  <p class="fragment">
+       a popular,
+  </p>
+  <p class="fragment">
+    powerful,
+  </p>
+  <p class="fragment">
+    easy to learn,
+  </p>
+  <p class="fragment">
+    programming language,
+  </p>
+  <p class="fragment">
+    that is human readable,
+  </p>
+  <p class="fragment">
+    whitespace delimited,
+  </p>
+  <p class="fragment">
+    free,
+  </p>
+  <p class="fragment">
+    and open source
+  </p>
+  <aside class="notes">
+    So what is Python anyway? Python is a programming language which is used to:
+     - develop analysis pipelines
+     - process and analyse data
+     - visualize data, and generate publication-quality graphics
+     - develop new statistical methods
+    It is also a free open-source project, making it completely free to download and extend.
+  </aside>
+</section>
+
+<section>
+  It has a number of excellent libraries for
+ <p class="fragment">
+    mathematics,
+    </p>
+    <p class="fragment">
+    plotting,
+    </p>
+    <p class="fragment">
+    and domain sciences.
+    </p>
+</section>>
+<section>
+  <h2>Tasks that Python could help you do:</h2>
+  <p class="fragment">
+    Transform your data files from one arbitrary format to another.
+  </p>
+  <p class="fragment">
+    Analyze image files.
+  </p>
+  <p class="fragment">
+    Loop through all the files in a directory, perform an analysis on them, and plot the results.
+  </p>
+  <p class="fragment">
+    <strong>Almost anything!</strong>
+  </p>
+  <aside class="notes">
+  </aside>
+</section>
+
+<section>
+  <h1>Packages</h1>
+  <p>Contain extensions to the language for specific tasks</p>
+  <ul class="fragment">
+    <li>The Python Package Index has more than 48k packages including some for:
+    </li>
+  <p class="fragment">
+    analyzing biological sequence data,
+  </p>
+  <p class="fragment">
+      numerical analyses,
+  </p>
+  <p class="fragment">
+      plotting and much more
+  </p>
+  </ul>
+  </p>
+  <aside class="notes">
+  </aside>
+</section>
+
+<section>
+  <h2>Why Python and not ...</h2>
+  <p class="fragment">
+    Perl? <br>
+    It is easier to read and easier to learn. Also, popularity matters! If Python is what your collaborators are using, it may be a good idea for you to learn it too.
+  </p>
+  <p class="fragment">
+    Javascript or Ruby? <br>
+    Python has more good numerical libraries.
+  </p>
+  <p class="fragment">
+    MATLAB or SAS? <br>
+    It's free.
+  </p>
+  <p class="fragment">
+    R? <br>
+    Depends on the task at hand. R has some advantages in statistics and visualization, Python is better at manipulating text. It is a more flexible option that can perform many different tasks well.
+  </p>
+  <aside class="notes">
+  </aside>
+</section>
+
+<section>
+  <h1>IPython Notebook</h1>
+  <p> An interactive shell for using Python</p>
+  <ul class="fragment">
+    <li>Browser based notebooks to organize and display code </li>
+    <li>Simplifies data visualization</li>
+    <li>Makes it easy to share whole analysis pipelines</li>
+  </ul>
+    <img src="ipython-notebook.png">
+  </p>
+  <aside class="notes">
+  </aside>
+</section>
+
+<section>
+  <h1>Learn More</h1>
+  <a href="https://www.python.org/" alt="python.org">https://www.python.org/</a>
+  <br />
+  <a href="http://ipython.org/" alt="Link to IPython" class="fragment">http://ipython.org/</a>
+  <aside class="notes">
+  </aside>
+</section>
+