Barcelona Python Meetup - Python October Meetup
Wednesday 24 October 2018, 19:00 - 20:00
Ronda Sant Pere 52, Barcelona, España
# Talks 1) "Using votes to combine rankings" by Ferran Muiños Language: EnglishDuration: 30 min. How to best combine the outcome of several ranked data into a single, meaningful consensus ranking is a recurrent problem in scientific data analysis. Particularly, in genome data analysis we are often bound to merge ranked data arising from separate statistical analyses. Traditional blending strategies applied in the field rely on techniques to combine statistical significance, but this approach on its own has been associated with a number of caveats. I hereto present a voting-based heuristics implemented in Python which leverages both Schulze’s voting algorithm and optimization techniques to combine rankings upon credibility scores inferred from prior knowledge. This rationale can be used alongside state-of-the-art methods to systematically incorporate prior knowledge, thereby leading to more interpretable outcomes. The scope of the method is quite general and may be of use in other data analysis contexts. 2) "Async makes me hmmm :thinking_face:" by Lukas Kubis, Automation Senior Developer en Kiwi.com Language: EnglishDuration: 30 min. The introduction of async/await syntax to python couple of years ago spiked interest in many people, only to leave most of them confused and terrified. It’s getting even worse as async quickly expands and the whole language is effectively splitting into two. Let’s discuss why it’s happening, who is it for and how can we reason about the existence of this mysterious code. 3) "Coding together, different ways to do so for Data Enthusiasts" by Dimitri Herrero, Tech lead del equipo Business Intelligence en Kiwi.com Language: SpanishDuration: 30 min. En esta charla me gustaría repasar y comparar las herramientas que hay ahora para explorar datos y entrenar modelos de machine learning. Si eres un data scientist o enthusiast, seguramente estás usando Jupyter Notebooks para explorar datos. Sin embargo a la hora de trabajar en equipo tenemos varias herramientas como Google Colaboratory, Google Datalab, Amazon SageMaker, etc. que podrían adaptarse mejor para el uso de un equipo. # Access Control - The security access control requires an attendee list. Provide your full name in your profile, otherwise you will be REMOVED from the list. - There are limited seats, please be responsible when signing up. If you can't make it, please free up your seat, so someone else can attend. We'll notice repeated offenders ;-) # More - We need talk proposals! Send yours: http://pybcn.org/call-for-proposals/- Wanna publish a job offer? https://www.meetup.com/python-185/pages/24606847/Job_offers/- Follow @PyBCN for pictures, slides and more: https://twitter.com/pybcn
Publicado por: Betabeers