Last November I attended the Madrid Python Meetup. Being a regular attendant of Barcelona Python Meetup I was curious about the Python community in Madrid.
After many @pybcn meetups, my first @python_madrid meetup. Really welcoming community #python pic.twitter.com/mhTLMDou4Q— Enrique Saez (@eqirn) November 30, 2016
There were four talks, all of them revolving around Python and Geographic Information Systems. This was a topic that I have not dealt with at all and was curious about what Python can help with.
¡Empieza la reunión de @python_madrid y @GeoinquietosMad en la sede de @CARTO! pic.twitter.com/eX1tKVoMOr— Pybonacci#QuedateEnCasa (@Pybonacci) November 30, 2016
Guillem Borrell talked about whether Madrid pollution measurements were being rigged by the government. He showed how most of the pollution meters were placed further away from the city center and after analyzing historical measurements with the help of Python, concluded that apparently it was not the case.
The most important take outs from his talk for me were:
The data model and the obfuscation of the data in it can be part of the business model. By hindering competitors from using/accessing the data that is supposed to be freely available, such as the pollution measurements in this case, competitors are in disadvantage when when the contract is to be renewed.
Data Science consists on Data cleaning most of the time rather than creating/implementing new fancy algorithms which was quite surprising for me.
Continúa Juan Luis (no @astrojuanlu) en @python_madrid hablando de Cartopy y proyecciones @GeoinquietosMad pic.twitter.com/PvZCbUNObn— Pybonacci#QuedateEnCasa (@Pybonacci) November 30, 2016
Juan Luis Ribero talked about geo referenced data visualization with Python. It was a really in-depth and long talk in which he explained:
- the basics such as map projections like Mercator, Universal Transverse Mercator, Web Mercator, etc.
- detailed Cartopy API and the different data transformations that it helps accomplish
- talked through some examples using Cartopy, open data from the regional government to create some cool visualizations.
Oriol Boix briefly explained the Carto API. The Meetup was hosted at Carto’s office so it was rather natural that they put together a talk about their product.
Continuamos hablando del nuevo SDK de @CARTO en @python_madrid @GeoinquietosMad pic.twitter.com/jqz23yUAfO— Pybonacci#QuedateEnCasa (@Pybonacci) November 30, 2016
Francisco José Raga explained how to create Plugins for QGIS.
The main learning I got from his talk is that the IDE should be considered as an extendable tool and whenever a developer finds himself doing something over and over again is much better to develop a plugin to automate the job.
Overall the topics discussed in the Meetup were not directly related to my day to day work but it was refreshing to learn about people using Python for so many different things.
Finally, this kind of events are used by companies to recruit people and this time was no different. I have heard countless times about it as a suggestion for people looking for a job to attend or do a presentation at this kind of events and I believe it is an effective way to find a new job.
Carto’s office in the very city Center of Madrid were really cool by the way.
"Hacer un plugin en @qgis es muy fácil" -Rafa (no me acuerdo de tu tuiter) @GeoinquietosMad @python_madrid pic.twitter.com/2gP0ba35eV— Ramiro Aznar (@ramiroaznar) November 30, 2016