I happen to be on the team at Microsoft which recently launched an in-preview
Jupyter Notebook service in Azure ML Studio
[http://blogs.technet.com/b/machinelearning/archive/2015/07/24/introducing-jupyter-notebooks-in-azure-ml-studio.aspx]
At (and since) PyCon 2015 [https://us.pycon.org/2015/], there has been interest
in trying to get quantified numbers in relation to Python 3 adoption (see PyPI
download numbers [https://caremad.io/
Thomas Robitaille ran a survey on Python usage in the astronomy community and
wrote up a great blog post on the results
[http://astrofrog.github.io/blog/2015/05/09/2015-survey-results/] (a big
While at PyCon this year, someone pointed out that the hope/goal/expectation
when Python 3 was released was to have over 50% of new projects using Python 3
within five years, and
In this world of Android vs. iOS -- with a smattering of Windows Mobile and
Blackberry -- I find native apps somewhat annoying. In the beginning, iOS was
actually not going have any
