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<h2>Python for Informatics: Exploring Information</h2>
<p>
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
</p>
<p>
<b>New:</b> We have started to convert this textbook to Python 3.0 (<a href="book/index.htm" target="_blank">details</a>).
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<li><a href="http://do1.dr-chuck.net/py4inf/ES-es/book.pdf" target="_blank">PDF</a> from <a href="https://twitter.com/fertardio" target="_blank">Fernando Tardío</a></li>
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<br>
<p>
The sample code and data files for the book is here: <a href="http://www.py4inf.com/code" target="_blank">Code Samples</a>.
</p>
<p>
Chapters 2-10 are heavily adapted from the open book titled: "<a href="http://www.greenteapress.com/thinkpython/thinkCSpy/" target="_blank">Think Python: How to Think like a Computer Scientist</a>" by <a href="http://allendowney.com/" target="_blank">Allen B. Downey</a>.
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All of these materials are free and I want you to take them, use them and reuse them. If you would like to leave a tip, feel free to do so using the PayPal Donate button below.
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