Videos of the talks from PyCon 2015 can be found here. I haven't had a chance to watch any yet but I'm sure some of them will be excellent. You can see my favorite python and data science videos on the recommended videos page.
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Pandas 0.16.0 was released this week. Version 0.16.0 includes a new .assign() method of DataFrames, which I'll use on some real world automobile MPG data below (data file).
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Spark 1.3.0 is out (release notes). I'm particularly excited about the new DataFrame API, it should allow much more natural code for many analytics tasks.
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IPython 3.0 has been released, with notable changes to the IPython Notebook, which is now evolving into the language-agnostic Project Jupyter.
I think some of the new nbconvert tools will be useful:
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- Added a .ipynb exporter to nbconvert. It can be used by passing --to notebook as a commandline …
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I just posted a 4 part series on setting up a Flask app on EC2, filling out a database, and visualizing the data with D3.js. The original motivation for this project was to answer the question "What is the latest I can leave work while still having a 90 …
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I gave a lighting talk at the SF Python meeting tonight about the recommender system I wrote to generate the "Similar Posts" links on this site. The slides are up here.
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Spark 1.2.0 was released yesterday (release notes). I'm curious to see how the new machine learning API's in spark.ml evolve.
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Scikit-learn has a nice flowchart of when to use different machine learning algorithms. View the whole chart here.
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I put together a list of data science and python videos that I've found to be especaily useful and entertaining. The list is here, also linked from the nav bar up top.
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I put together a list of data science books I recommended, including a few for preparing for data science interviews. The list is availiable here.
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