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Matthew Turk
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Inspired by some conversations with collaborators and colleagues, I posted this article on Medium a week and a half ago.

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Two of my undergraduate researchers have secured positions that will further their careers.

Collin Cunningham, an applied math major, is graduating this semester, and he will be going to the Technical University of Denmark to receive his Masters in mathematical modeling.

Austin Gilbert, a 2nd year physics major, is going to the National Center for Supercomputing Applications (NCSA) this summer as an REU student, working Matthew Turk’s Data Exploration Lab.

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ACM SIGHPC/Intel Computational & Data Science Fellowships

Submissions open: March 15 Submissions close: April 30

To qualify for a Computational & Data Science Fellowship, a student must be:
* Either currently enrolled in a graduate program or accepted to begin in one no later than October 15
* Pursuing a graduate degree – Master’s, PhD, or equivalent – in computational or data science (although the formal name of the program may be somewhat different)
* Completed less than half of her/his planned program of study (with preference given to students who are still early in their studies)
* A woman and/or a member of a racial/ethnic group that is currently underrepresented in the computing field in the country where the student will earn the degree

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Congrats to everyone involved!
I'm proud the announce that SymPy version 1.0 has been released. To
install this release use

    pip install -U sympy

or if you use Anaconda, use

    conda install sympy

(the conda version may take a day or two to be available).

There are many major changes in this release. The full release notes
are at https://github.com/sympy/sympy/wiki/Release-Notes-for-1.0, but
some of the important changes that I want to highlight are

- mpmath is now a hard external dependency for SymPy. sympy.mpmath
will no longer work (use import mpmath). See
http://docs.sympy.org/latest/install.html#mpmath for more information
on how to install mpmath.

- The galgebra Geometric Algebra module has been removed. The module
is now maintained separately at https://github.com/brombo/galgebra.

- The new solveset function is a planned replacement for solve. solve
is not yet deprecated, since solveset hasn't yet fully replicated all
the functionality of solve. solveset offers an improved interface to
solve. See http://docs.sympy.org/latest/modules/solvers/solveset.html
for more information on solveset vs. solve.

- This will be the last version of SymPy to support Python 2.6 and
3.2. Both of these Python versions have reached end-of-life. Support
for other Python versions will continue at least until they have
reached end-of-life.

There are several additional backwards incompatible changes in this
release, as well as tons of new features and bugfixes. See the release
notes for more information.

I'd like to thank everyone who contributed to this release. The
release notes has a full list of people who contributed.  A total of
156 people contributed to this release, and of those, 116 people
contributed for the first time for this release.

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My keynote from #scale14x  is up! I talked about how to increase diversity in open source communities in a systematic manner, using Maslow's hierarchy of needs. https://www.youtube.com/embed/rUDgDSKdSPo?t=24m52s

Notes, resources, links to studies mentioned, and slides can be found on my blog: http://sarah.thesharps.us/2016/01/24/scale-improving-diversity-with-maslows-hierarchy/

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ASTROPHYSICS -- The Kavli Institute for Theoretical Physics (KITP) has brought together dozens of astrophysicists from all over the world to learn a star simulation software program, called MESA (Modules for Experiments in Stellar Astrophysics). The program models the evolution of stars over their lifetimes.

The MESA Summer School was held at KITP's campus at the University of California, Santa Barbara's (UCSB). The MESA software has grown more usefully complex in the last few years since its creation by Bill Paxton, a senior fellow in computational astrophysics at KITP and MESA’s primary developer.

"Learning to play MESA is like learning to play the piano," said Paxton in a UCSB press release. "You’re going to have to end up putting in lots and lots of hours to really get good at it."

Just a few of the many ways scientists have successfully applied MESA to their research includes the study of the interactions of binary stars and supernovae.

"MESA is THE tool for anybody in science who is studying stars," said KITP Director Lars Bildsten, with emphasis, in the UCSB press release.

Read more about MESA and its Summer School in the UCSB press release: http://ow.ly/RmRVV

Bildsten also recently participated in a Kavli Roundtable Q&A about solving the mysteries surrounding the tiny stars that produce so-called Type Ia supernovae. You can read that Q&A here: http://ow.ly/RmSpt

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A Simulated Galaxy

This +ScienceSunday , I don't have time to write a full article, as I'm preparing for a talk on scientific visualization for the +Einstein Toolkit  workshop this week. So instead, I present you with a visualization I made with the scientific visualization software +yt Project using freely provided Enzo data.

The visualization takes a single snapshot of a galaxy (after formation), zooms in on it, and rotates around it.

 You can find the data here:
http://yt-project.org/data/

#sciencesunday #physics #astrophysics #science #visualizations
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