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Commit acdff15

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Fix link issues
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‎website/content/favicon.ico‎

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‎website/content/pages/about.md‎

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title: About
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slug: about
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Template: about
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<img src="/images/jake.jpg" align="left" width="150" style="padding-right:20px;"/>
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My name is Jake VanderPlas.
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I am an astronomer by training, and currently am the director open software
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at the University of Washington's
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[eScience Institute](http://escience.washington.edu/), where I spend time on
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research, teaching, and developing software tools for science.
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<br clear="left"/>
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If you like my blog, you might also like my books:
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<a href="http://shop.oreilly.com/product/0636920034919.do"><img src="/images/PythonDataScience.jpg" align="left" width="100" style="padding-right:20px;"/></a>
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The *Python Data Science Handbook* by Jake VanderPlas (O'Reilly Media, 2016). This is a comprehensive introduction to the most important data science tools in the Python world. Several examples used in the book are drawn from posts on this blog.
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The content is also available as Jupyter notebooks [on GitHub](http://github.com/jakevdp/PythonDataScienceHandbook).<br clear="left"/>
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<a href="http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp"><img src="/images/WhirlwindTour.jpg" align="left" width="100" style="padding-right:20px;"/></a>
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*A Whirlwind Tour of Python* by Jake VanderPlas (O'Reilly Media, 2016). This free e-book is a fast-paced intro to Python aimed at researchers and engineers. It's content is drawn from Python intro courses and tutorials that I have taught over the years.
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The content is also available as Jupyter notebooks [on GitHub](http://github.com/jakevdp/WhirlwindTourOfPython).<br clear="left"/>
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<a href="http://press.princeton.edu/titles/10159.html"><img src="/images/StatisticsDataMining.jpg" align="left" width="100" style="padding-right:20px;"/></a>
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*Statistics, Machine Learning, and Data Mining in Astronomy* by Zeljko Ivezic, Andy Connolly, Jake VanderPlas, and Alex Gray (Princeton Press, 2014). This is a graduate-level text on statistical methods in astronomy, with emphasis on Python code.
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Code from the book is available at [http://astroML.org/](http://astroML.org).<br clear="left"/>
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Thanks for visiting!

‎website/copy_notebooks.py‎

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pagefile = os.path.join(PAGE_DEST_DIR, base + '.md')
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with open(pagefile, 'w') as f:
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f.write(PAGEFILE.format(title=title,
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slug=base.lower(),
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slug=base,
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notebook_file=nb,
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template=template,
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cells=cells))
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{% extends "base.html" %}
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{% block title %}{{ page.title }}{% endblock %}
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{% block headerimg %}{% if page.headerimg %}{{ page.headerimg }}{% else %}{{ DEFAULT_HEADER_BG }}{% endif %}{% endblock %}
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{% block content %}
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<div class="container bookinfo">
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<p>
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<img align="left" style="padding-right:10px;" src="/PythonDataScienceHandbook/figures/PDSH-cover-small.png">
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<em>This is an excerpt from the <a href="http://shop.oreilly.com/product/0636920034919.do">Python Data Science Handbook</a> by Jake VanderPlas; Jupyter notebooks are available <a href="https://github.com/jakevdp/PythonDataScienceHandbook">on GitHub</a>.</em>
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</p>
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<p>
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<em>The text is released under the <a href="https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode">CC-BY-NC-ND license</a>, and code is released under the <a href="https://opensource.org/licenses/MIT">MIT license</a>. If you find this content useful, please consider supporting the work by <a href="http://shop.oreilly.com/product/0636920034919.do">buying the book</a>!</em>
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</p>
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</div>
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<div class="container post">
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<article>
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<header>
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<h1>{{ page.title }}</h1>
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{% if page.date %}
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<time datetime="page.date.isoformat()" pubdate>{{ page.locale_date }}</time>
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{% endif %}
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</header>
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<div class="article_content">
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{{ page.content }}
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</div>
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</article>
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</div>
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{% endblock %}

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