You likely know that Python is one of the fastest growing languages for data science.
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This is a discipline that combines the scientific inquiry of hypotheses and tests, the mathematical intuition of probability and statistics, the AI foundations of machine learning, a fluency in big data processing, and the Python language itself. That is a very broad set of skills we need to be good data scientists and yet each one is deep and often hard to understand.
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That's why I'm excited to speak with Joel Grus, a data scientist from Seattle. He wrote a book to help us all understand what's actually happening when we employ libraries such as scikit-learn or numpy. It's called Data Science from Scratch and that's the topic of this week's episode.
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Links from the show:
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<b>Book: Data Science from Scratch</b>: <a href='Book: http://amzn.to/1rhcbdT' target='_blank'>amzn.to/1rhcbdT</a>
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<b>Joel on Twitter</b>: <a href='Joel https://twitter.com/joelgrus' target='_blank'>@joelgrus</a>
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<b>Joel on the web</b>: <a href=' http://joelgrus.com/' target='_blank'>joelgrus.com</a>
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<b>Partially Derivative Episode</b>: <a href='http://www.partiallyderivative.com/news/2016/4/26/season-2-episode-8-the-love-child-of-princess-leia-and-jabba-the-hut' target='_blank'>partiallyderivative.com</a>
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<b>Allen Institute for Artificial Intelligence</b>: <a href='http://allenai.org/' target='_blank'>allenai.org</a>
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<strong>Data Science Libraries</strong>
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<b>numpy</b>: <a href='http://www.numpy.org/' target='_blank'>numpy.org</a>
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<b>Numpy episode: #34:
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Continuum: Scientific Python and The Business of Open Source</b>:
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<a href='/episodes/show/34' target='_blank'>talkpython.fm/episodes/show/34</a>
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<b>pandas</b>: <a href='http://pandas.pydata.org/' target='_blank'>pandas.pydata.org</a>
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<b>scikit-learn</b>: <a href='http://scikit-learn.org' target='_blank'>scikit-learn.org</a>
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<b>scikit-learn episode: #31: Machine Learning with Python and scikit-learn</b>:
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<a href='/episodes/show/31' target='_blank'>talkpython.fm/episodes/show/31</a>
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<b>matplotlib</b>: <a href='http://matplotlib.org/' target='_blank'>matplotlib.org</a>
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<b>Google's TensorFlow</b>: <a href='https://www.tensorflow.org/' target='_blank'>tensorflow.org</a>
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