Hey ChiPy,
It's time for the September ChiPy main meeting. There are some interesting
talks planned, so don't miss it! Hope to see you there.
*When:*Thursday Sept. 14
6:00pm: Doors open; food arrives
7:00pm: Talks Start promptly at 7
*How:*You can rsvp at chipy.org <http://www.chipy.org/> or via our Meetup
<https://www.meetup.com/_ChiPy_/events/242523969/> group.
*Where:*
Neal, Gerber & Eisenberg LLC
Two North LaSalle St
Suite 1700
Chicago, IL 60602
*What:*
- *Anaconda: The Best of Everything in PyData*
By: Patrick Boland
Experience Level: Intermediate
A continued narrative of the tale of two snakes. In this talk, we will
discuss some of the most impressive features of Anaconda, including built
in binaries, command line interface, the history of the distribution, and
why it is the right choice for just about every Python stack. This talk
does not assume audience familiarity with the distribution. We will take
advantage of the *better* batteries included nature of this distribution to
step through beginner and intermediate concepts. I intend for the audience
to feel comfortable and excited to give this a try on their own.
- *Storm surge: hurricane flooding simulation using Python, Fortran, and
GeoClaw*
By: Marc Kjerland
The 2017 hurricane season is proving to be one of the strongest in
history, and predictive modeling plays an important role in evacuation and
mitigation planning. Coastal communities in the path of hurricanes face
several major hazards - strong winds, heavy rainfall, relentless waves, and
storm surge. Storm surge is a type of transient sea level rise where water
is forced towards the shore by winds, and the right conditions can produce
very high levels - Hurricane Harvey raised Galveston Bay by upwards of ten
feet, and in 2012 Hurricane Sandy produced 12-foot surge in Lower
Manhattan. I'll discuss the current state of storm surge modeling with
focus on an open-source package called GeoClaw, developed by academic
researchers across the U.S. GeoClaw uses Python and Fortran to run a
dynamic simulation of coastal flooding using storm and topography datasets,
and thanks to some novel dimensionality reduction it can be run on a
laptop.
- *Getting Off the Struggle Bus: Learning From Transit Data*
By: Spencer Chan
Experience Level: Novice
In an extended version of the lightning talk I gave for the spring ChiPy
mentorship final presentations, I will go into more depth about how I
collected and processed bus location data from the CTA's bus tracker API. I
will also discuss interesting discoveries I made once I plotted the data,
work I have done on the project since completing the mentorship (collecting
data from 30 additional bus routes, converting visualizations from
Bokeh/Python to D3.js, analyzing and visualizing bus bunching, etc), as
well as future plans for the project.
Thank you always to all our sponsors, including our Diamond sponsor: Metis.
Also thank you to our Platinum sponsors: Braintree, Imaginary
Landscape, Signature
Consultants, and Telnyx.
Please be aware of our code of conduct http://www.chipy.org/pages/conduct/
--
Joe J. Jasinski
www.joejasinski.com
Hey ChiPy,
We are still looking for speakers for our September 14th meeting. If you
have any interesting Python topics you'd like speak about, please submit a
talk!
Also, if you'd like to give a 5-10 min "Module of the Month" talk, covering
a useful Python module or feature, please also submit your topic.
You can submit your topic here, or email me if you have any questions:
http://www.chipy.org/meetings/topics/propose/
If you'd like to attend the next meeting, you can rsvp at chipy.org
<http://www.chipy.org/> or via our Meetup
<https://www.meetup.com/_ChiPy_/events/242523969/> group.
--
Joe J. Jasinski
www.joejasinski.com
