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<div class="container">
<div class="row">
<div class="col-md-6 col-md-offset-3">
<h2>We Want To Help</h2>
<p class="large">
Whether you are a high school student,
a hobbyist,
or a budding data scientist,
we all benefit from those who came before us.
</p>
<p class="large">
To help <strong>you</strong> start,
Python Frederick members assembled this set of resources.
We hope that what you find here will speed you
on your way to becoming a master <i>Pythonista</i>.
</p>
<p class="large">
If you have questions that we don’t answer here,
please feel free to contact us on Twitter or Slack.
</p>
<br>
</div>
</div>
<div class="row">
<div class="col-md-4">
<h3>For beginners</h3>
<p class="large">
Never written a line of code before?
No idea what a variable is?
That’s okay!
We all had to start somewhere.
</p>
<p class="large">
Python is a great first programming language.
</p>
<ul>
<li><p class="large">You’ll need a text editor to get started. <br><a href="https://codewith.mu/" target="_blank">Mu is a good first choice.</a></p></li>
<li><p class="large">Get started with Python by following <a href="https://realpython.com/python-first-steps/" target="_blank">First Steps With Python</a> tutorial. </p></li>
<li><p class="large">Check out this article: <a href="https://www.makeuseof.com/tag/basic-python-examples-learn-fast/" target="_blank">10 Basic Python Examples That Will Help You Learn Fast.</a></p></li>
<li><p class="large">If you are a visual learner, check out this YouTube tutorial: <a href="https://www.youtube.com/watch?v=Z1Yd7upQsXY&list=PLBZBJbE_rGRWeh5mIBhD-hhDwSEDxogDg" target="_blank">Python Tutorial for Absolute Beginners.</a></p></li>
</ul>
</div>
<div class="col-md-4">
<h3>For data scientists</h3>
<p class="large">
If you’re here to learn how to do data science
in Python, then you’re in for a treat.
</p>
<p class="large">
Python is a <strong>fantastic</strong> language
for doing scientific analysis!
</p>
<p class="large">
Christine, our resident data scientist co-organizer,
put together an excellent introduction
into the tools to use
to do data science in Python.
</p>
<ul>
<li><p class="large">Check out the <a href="https://github.com/python-frederick/talks/blob/master/2017-12-data-science/Data%20Science%20in%20Python.ipynb" target="_blank">presentation material on GitHub</a>.</p></li>
<li><p class="large">You can also find the accompanying <a href="https://www.youtube.com/watch?v=3kTOLVD0ZCg" target="_blank">presentation on YouTube</a>.</p></li>
</ul>
<p class="large">
The presentation is full of great information.
</p>
<br>
</div>
<div class="col-md-4">
<h3>For experienced devs</h3>
<p class="large">
Maybe you’re a Java expert?
Or perhaps you learned enough PHP
to understand the basics of programming.
</p>
<p class="large">
There are some great resources
for people who already understand programming
and want to learn a new language.
</p>
<ul>
<li>
<p class="large">
Do code exercises and get mentoring
from the team
at <a href="https://exercism.io/" target="_blank">Exercism</a> (for free!).
</p>
</li>
</ul>
</div>
</div>
</div>