When the Google OnHub [https://on.google.com/hub/] router was announced, I was
excited. Not just because the client software was developed at Google Waterloo
[http://www.google.ca/about/careers/locations/
If there is one persnickety thing people ask of python-dev it is for the GIL
[https://en.wikipedia.org/wiki/Global_Interpreter_Lock] to go away. People view
it as this great bugaboo
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
