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Starting off...

Well, at some point I suppose I had to get a blog... This will be mostly a way to post occasional updates on projects I'm involved with for others to pick up via aggregators. This blog is registered as part of Planet SciPy, and I'll also keep updates here on IPython, neuroimaging in Python, and we'll see what else develops. So, welcome!

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Blogging with the IPython notebook

Update (May 2014): Please note that these instructions are outdated. while it is still possible (and in fact easier) to blog with the Notebook, the exact process has changed now that IPython has an official conversion framework. However, Blogger isn't the ideal platform for that (though it can be made to work). If you are interested in using the Notebook as a tool for technical blogging, I recommend looking at Jake van der Plas' Pelican support or Damián Avila's support in Nikola . Update: made full github repo for blog-as-notebooks, and updated instructions on how to more easily configure everything and use the newest nbconvert for a more streamlined workflow. Since the notebook was introduced with IPython 0.12 , it has proved to be very popular, and we are seeing great adoption of the tool and the underlying file format in research and education. One persistent question we've had since the beginning (even prior to its official release) was whether it would...

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On December 21 2011, we released IPython 0.12 after an intense 4 1/2 months of development.  Along with a number of new features and bug fixes, the main highlight of this release is our new browser-based interactive notebook : an environment that retains all the features of the familiar console-based IPython but provides a cell-based execution workflow and can contain not only code but any element a modern browser can display.  This means you can create interactive computational documents that contain explanatory text (including LaTeX equations rendered in-browser via MathJax), results of computations, figures, video and more.  These documents are stored in a version-control-friendly JSON format that is easy to export as a pure Python script, reStructuredText, LaTeX or HTML. For the IPython project this was a major milestone, as we had wanted for years to have such a system, and it has generated a fair amount of interest online. In particular, on our mailing list a us...

An ambitious experiment in Data Science takes off: a biased, Open Source view from Berkeley

Today, during a White House OSTP event combining government, academia and industry, the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation announced a $37.8M funding commitment to build new data science environments. This caps a year's worth of hard work for us at Berkeley, and even more for the Moore and Sloan teams, led by Vicki Chandler , Chris Mentzel and Josh Greenberg : they ran a very thorough selection process to choose three universities to participate in this effort. The Berkeley team was led by Saul Perlmutter , and we are now thrilled to join forces with teams at the University of Washington and NYU, respectively led by Ed Lazowska and Yann LeCun . We have worked very hard on this in private, so it's great to finally be able to publicly discuss what this ambitious effort is all about. Most of the UC Berkeley BIDS team, from left to right: Josh Bloom, Cathryn Carson, Jas Sekhon, Saul Perlmutter, Erik Mitchell, Kimmen Sjölander, Jim Sethia...