30 April - 4 May 2018
Center for Computational Astrophysics, Flatiron Institute, New York
The fourth Python in Astronomy Conference will be held at the Center for Computational Astrophysics at the Flatiron Institute in New York from 30th April - 4th May 2018.
This conference aims to bring a wide variety of people who use, develop or teach people about Python packages in the context of all forms of Astronomy. The conference will include presentations, tutorials, unconference sessions, and sprints. As well as enhancing the community around astronomical uses of Python, the conference aims to improve collaboration and interoperability between Python packages, and share knowledge on Python packages and techniques. It will also provide training and educational materials for users and developers of Python astronomy packages.
You can view recordings of most of the talks from the conference on the YouTube Python in Astronomy 2018 playist. Other resources including unconference proceedings will be added here soon.
The Center for Computational Astrophysics is a research center committed to developing the research tools needed for modern astronomy. All participants at the conference will be expected to follow the code of conduct.
The full conference schedule and related info can be found here.
The full list of talk titles and abstracts can be found here.
Livestream and Live Chat
To accommodate remote participation, we will livestream the talks and some of the afternoon tutorials.
Link for live stream: https://simonsfoundation.zoom.us/j/828828155
If you prefer, you can call in to hear the talks. The webinar ID is
828 828 155. The US number is
1 (646) 558-8656 or you can call one of over 90 international numbers
The local timezone of the conference is EDT (UTC-4).
The videos will then be saved and viewable on YouTube afterwards.
We encourage all participants (including remote participants) to join our Slack channel to allow people who couldn't attend to follow along, and to interact in real-time with other participants! This chat room will also be the most direct way for anyone remotely following along to ask questions during the livestream. There is also a Matrix community which will mirror the rooms in the Slack channel.
The organising committee consists of: Matt Craig (chair), Azalee Bostroem, Daniela Huppenkothen, Andrew Leonard, Duncan Macleod, Brigitta Sipocz and Erik Tollerud. The local organizing committee is Kelle Cruz and Stephanie Tonnesen but the logistics are primarily handled by Flatiron Staff: Seran Lee-Johnson and Jocelyn Dorszynski.
To contact the organizers, send an email to python.in.astronomy.soc $AT$ gmail.com.
The Flatiron Institute is located in Manhattan at: 162 5th Ave, New York, NY 10010, USA. There are several hotels nearby in Manhattan, but some will be expensive; many offer a government rate, though. If you make reservations at one of them be sure to check that the rate you are quoted is for all nights of your stay.
The SOC has identified three lodging options near a train station with quick service to conference venue. All three options are within short walking distance of each other; they are offer a range in price and quality.
Doubletree by Hilton Hotel & Suites Jersey City; approximately $265/night plus tax. Direct link to hotel site.
Candlewood Suites Jersey City, with a reduced price through Apr 15 of $165/night plus tax (single bed), $185/night plus tax (bed + pull-out couch) if you reserve with this link: Direct link to Candlewood site.
The Holland Hotel, approximately $135/night plus tax. The hotel site is here, but to obtain this rate you need to call the hotel and mention that you are booking with "Python in Astronomy".
Tax for each of these hotels will add around 14% to the nightly rates. Other relatively inexpensive accommodation in the New York City area can be found in Chinatown, Hoboken, and Jersey City. All three of these have easy public transit and Uber into NYC to the conference location. If you go to Brooklyn or Queens, just make sure that you are close to a subway station. The subway is easy to use and reliable.
Applications have closed.
Python in Astronomy 2018 is generously supported by: