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SciPy 2017 Sprints Schedule
The SciPy Conference dedicates the last two days of the week
to push our ecosystem forward through developer sprints. It is an informal part
of the conference, all about exchanging, hacking and creating. Everyone is welcome
regardless of interest, need and programming level.
There are many things you can do at a sprint from testing code, fixing bugs,
adding new features and improving documentation. You will also have the
opportunity to work alongside authors and core contributors of open source
packages.
Don't know how to contribute to a project? No problem, we'll teach you at
the Sprint tutorial on Saturday morning. We have a 1-2 hour sprint tutorial
dedicated to new sprinters.
We encourage you to fill out the sprints form in order to have your sprint (or sprint idea/request) scheduled and published on this page!
Thanks to the generosity of our sponsors, Sprints are free for all, but please register to receive a badge and access to the sessions.
07/15/2017 | |
8:00 AM - 9:00 AM | Sprints Breakfast Served in the Tejas Room on Level 2 |
9:00 AM - 9:30 AM | Sprints Kickoff Room 204 |
9:30 AM - 11:00 AM | "How to Sprint" Tutorial Room 204 |
9:30 AM - 6:00 PM | Sprints (Rooms assigned at kickoff) TBD |
6:30 PM - 8:30 PM | Sprints Dinner - UT Union Underground UT Union Underground - 2247 Guadalupe St., Austin, TX 78712 |
7/16/2017 | |
8:00 AM - 9:00 AM | Sprints Breakfast Served in the Tejas Room on Level 2 |
9:00 AM - 6:00 PM | Sprints (Rooms assigned at kickoff) TBD |
Name of package or theme |
Description of the goal(s) of the sprint, tasks planned and why it is important |
Minimum level of Python expertise needed |
Is familiarity with package required? |
Bokeh |
Working towards 1.0 release, general cleanup, docs, new examples, small bug fixes. More generally, helping to introducing new people to the Bokeh dev process. |
Beginner |
NO |
Carousel |
Carousel is a model simulation framework like Django for physical models it takes care of the kruft so you can focus on the model
|
Intermediate |
YES |
Conda-forge |
conda-forge
is a community lead effort to package software using conda. |
Intermediate |
NO |
Data for Democracy | Data for Democracy looks for projects that have a strong collaborative nature, and leverage data and technology to create positive social impact. We engage in a mix of community-led projects, which are proposed and self-organized by volunteers. | Beginner | No |
Matplotlib |
On-board new contributors, final bug fixes for 2.1 |
Beginner |
YES |
Mayavi |
Fix various issues with the current Mayavi version. Most of the tasks require knowledge of how to use Mayavi, and the intermediate/advanced tasks often require knowledge of VTK. Learning how to use Mayavi is quite easy -- just go over the user guide. |
Beginner |
Yes |
MetPy |
MetPy is a community-driven package providing a library of tools (plotting, calculations, reading file formats) for solving problems in meteorology and the atmospheric sciences. The goal of the sprint is to on-board new contributors and drive MetPy forward by extending its features based on specific user needs (i.e. scratching your own itch). This can be anything from adding more examples and tutorials to adding new calculations so that MetPy can solve your needs. |
Intermediate |
NO |
MicroPython |
MicroPython
is Python 3 optimised to run on a microcontroller (constrained hardware with
tens to hundreds of Kbytes), well adapted to IoT and its tens of billions of
devices. |
Beginner |
NO |
Numba |
We want to help sprint participants improve the performance of their numerical code with Numba, as well as create additional performance tests and benchmarks of recent multi-threading features that have been added. |
Intermediate |
YES |
NumPy | The aim is to introduce people to contributing to NumPy, and maybe get some work done as well. There are some simple tasks that can be done without deep knowledge of the NumPy internals and those will be marked. |
Intermediate | YES |
nbconvert and nbgrader | We want to get people involved with the nbconvert & nbgrader; we also want to make progress on next releases. There are many sprint-friendly issues on GitHub. We will give a brief introduction to the structure of the projects at the beginning of the sprinting session. In addition to Python expertise, some javascript expertise may be needed to address some nbgrader issues. These projects greatly enhance the usability of the Jupyter ecosystem for academic & educational contexts. |
Intermediate | NO |
Packaging |
Help projects package their software, via wheels, conda-build, and scikit-build. Develop/enhance core infrastructure for conda-forge. Submit package recipes to community repositories. |
Beginner |
NO |
pandas |
Our
primary goal is to welcome new contributors to the library. We have issues
tagged by required experience level and difficulty to help with finding something
to work on. |
Beginner |
NO |
PVMismatch |
Goal #1:
make PVCell object a backend |
Intermediate |
NO |
Scikit-learn |
Help new contributors get started with working on the project. |
Intermediate |
YES |
UncertaintyWrapper |
goal #1:
allow UncWraper to use Uncertainties ufloat objects |
Intermediate |
YES |
Using Dask |
The goal of this sprint is to get people using Dask and help them parallelize other packages, algorithms, or projects. |
Intermediate |
YES |
yt |
Do you
have data that you would like to look at using yt? We will have yt developers
around to help you get your data loaded into yt. |
Beginner |
NO |