|The Wonderful World of Scientific Python||David P. Sanders||Introductory|
|Fundamentals of the IPython Display Architecture and Interactive Widgets||Brian Granger||Intermediate|
|HDF5 is for Lovers||Anthony Scopatz||Advanced|
|Astropy and Astronomical Tools||Perry Greenfield||Topics|
|Bayesian Statistical Analysis in Python||Chris Fonnesbeck||Intermediate|
|Interactive Parallel Computing with IPython||Min Ragan-Kelley||Advanced|
|Geospatial data in Python: Database, desktop, and the web||Carson Farmer||Topics|
|Anatomy of Matplotlib||Ben Root||Introductory|
|Birds in a Random Kaggle Forest||Matt Wescott||Intermediate|
|Multibody Dynamics and Control with Python||Jason Moore||Advanced|
|Reproducible Science: Walking the Walk||Matthew McCormick||Topics|
|Introduction to Julia||David P. Sanders||Introductory|
|Image Analysis in Python with Scikit-Image||Juan Nunez-Iglesias||Intermediate|
|Integrating Python and C++ with Boost.Python||Austin Bingham||Advanced|
|Teaching Numerical Methods with IPython Notebooks||David Ketcheson||Topics|
SciPy 2014, the thirteenth annual Scientific Computing with Python conference, will be held this July 6th-12th in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from academic, commercial, and governmental organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.
The conference always kicks off with two days of tutorials. These sessions provide extremely affordable access to expert training, and consistently receive fantastic feedback from participants. This year we are expanding the tutorial session to include three parallel tracks: introductory, intermediate, and advanced.
The introductory track specifically targets programmers with no prior knowledge of scientific python and to ensure a consistent overall experience, the topics for these sessions have been fixed.
We are now accepting tutorial proposals from individuals or teams that would like to teach a tutorial at SciPy 2014
Whether you are a major contributor to a scientific Python library or an expert-level user, this is a great opportunity to share your knowledge and offset some of the costs of your SciPy 2014 attendance.
Tutorials should be focused on covering a well-defined topic in a hands-on manner. We want to see attendees coding! We encourage submissions to be designed to allow at least 50% of the time for hands-on exercises even if this means the subject matter needs to be limited. Tutorials will be 4 hours in duration and will be assigned to one of the three tracks.
For examples of content and format, you can refer to past tutorials from past SciPy tutorial sessions ( SciPy2013, SciPy2012, SciPy2011, SciPy2010). We are looking for awesome techniques or packages, helping new or advanced python programmers develop better or faster scientific applications.
Submissions to the intermediate and advanced track are open to all topics but for submissions to the introductory track, please choose from one of the 4 topics listed below:
In recognition of the effort required to plan and prepare a high quality tutorial, we give at least a $750 stipend to each instructor (or team of instructors) for each half-day session they lead. This may stipend may increase to $1000 depending on availability of funds.
For the submission you will need the following information:
Accepted tutorials will be announced on May 1st. Final tutorial materials and instructions for attendees will be due on June 6th. This will include final version numbers of required software and a test script that can be run by attendees to ensure that they have sufficient time to prepare their laptops before the conference.
We look forward to very exciting tutorials and hope to see you all at the conference.