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The latest news and updates from NumFOCUS

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TL;DR – What's in this newsletter?

NumFOCUS End-of-Year $5K Matching Gift Challenge
PyData Sponsorship discounts end 12/31
Julia receives $600K grant from Moore Foundation
Data Carpentry is hiring an Associate Director
AstroPy 1.1 has just been released

"I'm in a point in my career where I can afford to give to open source organizations, and I derive an immense benefit from the projects that NumFOCUS supports."

~Michael Z., Sustaining Donor

Faculty member at Stony Brook University NY working on computational astrophysics

MATCHING GIFT CHALLENGE

NumFOCUS is currently running a year-end matching gift challenge, thanks to a generous donor who wishes to remain anonymous. Help us raise $5,000 for open source!

Every donation between now and December 31st will be automatically doubled! Your gift of $25 becomes $50… $50 becomes $100… $75 becomes $150... you get the idea. 100% more impact!

Help us reach our goal of raising $5,000 by December 31!
Click here to make your tax-deductible donation today!

Double Your Impact!

Time is running out for your company to take advantage of discounts on multi-conference sponsorship bundles for PyData 2016!

In 2015 we had over 3,500 attendees spread over 6 conferences in 4 countries!
In 2016, we will host 10 PyData conferences, half in the U.S. and half international

Sponsorship bundles are available only through December 31st!

More info here.

The Latest Updates from NumFOCUS Sponsored Projects

Julia

Julia receives $600K grant from the Moore Foundation to go from beta to 1.0
New York Fed researchers explain their reasons for moving to Julia and using open source tools
Julia 0.4.2 has just been released, a second bugfix release in our 0.4 series
Juno, the Julia IDE, is also now available for Julia 0.4

Data Carpentry

Data Carpentry is hiring an Associate Director to lead community engagement and education efforts. Application review begins 12/18—apply now!

AstroPy

Astropy 1.1 has been released! New and improved major functionality in this release includes:

New functions to automatically determine histogram bins, including the Bayesian blocks algorithm
A new interface to transform between Table objects and pandas DataFrame objects
Support for table indexing
Support for supergalactic and ecliptic coordinates
A new .info attribute to get summary information about tables and columns
A new show_in_notebook() method to show a table in Jupyter/IPython notebooks with additional interactivity features
Support for new units, including logarithmic units such as magnitudes, dex, and decibels
Support for the Planck 2015 cosmology and significant performance improvements in the cosmology sub-package

See the full announcement here.

We wish you all a happy holiday!

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