About
We’re pleased to announce our Winter Python Hackathon, an event for those with interest in computational and quantitative methods in biology. This Hackathon dedicated to solving problems of interest to our community using Python.
Our idea is to organize a Hackathon over a single day, and spend this day solving a couple of coding problems. Both beginners and experienced programmers are welcome: the Hackathon will have one problem geared towards participants interested in getting hands-on experience; and two problems with for advanced users to put their knowledge in practice and contribute to a research project. With a set of relevant problems, we can offer tailored assistance in advanced topics with Python, creating a stronger connection between the contents of our workshop and your research and going beyond the basic material provided by the current Collaboratory workshop.
To ensure that these problems are of relevance to a large number of people, we are asking for everyone interested to submit suggestions of problems that you, or colleagues, may want help tackling. This is a great opportunity to get help with a problem you’re stuck on as we learn together how to overcome coding challenges.
To register, follow this link: https://goo.gl/forms/oAVIl67OUEBMkHaR2
For more resources, please visit: https://github.com/QCB-Collaboratory/Python-Hackathon-Winter2018
Check out the Fall Python Hackathon: https://github.com/QCB-Collaboratory/Python-Hackathon-Fall2017
Who is this Hackathon intended for?
The hackathon is suitable for anyone who regularly uses or wishes to regularly use Python for their research, regardless of their level of expertise with programming. The only requirement is the Introduction to Python workshop.
Where & When?
February 23, 2018, from 9:30am – 5pm in the Collaboratory Classroom (Boyer Hall 529). Lunch will be served between 12:30 and 2pm.
Registration and Contact Infromation
To register, follow this link: https://goo.gl/forms/oAVIl67OUEBMkHaR2
To ensure that the problems used in the Hackathon are of relevance to a large number of people, during the registration we ask for suggestions of problems that you, or colleagues, may want help tackling. These suggestions can be anything, and you don’t need to submit a solution, just a small description of the problem. Examples of types of problems: changing file format from one standard to another; automating a task or pipeline for many datasets; optimize the computation time of complex analyses and pipelines; applying basic methods of computer vision to segment images (e.g. for cell detection); building predictive models (e.g. using Machine Learning techniques); solving a model of ODEs to fit your data; etc.
For more information or to contact us, please send us an e-mail (no spaces!): th mosqu eiro @ ucla . edu
Coding Problems
We will post the list of problems to the following GitHub repository (no account needed): https://github.com/QCB-Collaboratory/Python-Hackathon-Winter2018