PyData Prague #4 - Mapping Science

We’re glad to announce our fourth meetup, come and join us at (A)void floating gallery (https://goo.gl/maps/fUNxQUD7djFqxtiF8) for an evening of data talks and networking.

We’re excited to have new topics at every meetup, we don’t want to be a meetup of deep neural networks or pandas tricks, we want to provide a platform for a great variety of topics from all data-related areas and for people in varying stages of their careers, be it juniors, gurus, seniors, mediors, enthusiasts or just passersby.

This is not only our fourth meetup, but also our fourth venue - we hope you’re enjoying the variety, but do let us know which venues you’ve liked, so that we can focus our energy on topics, not venue research.

Talk 1: Diar Masri: Data Science at LMC

Searching for job is a struggle that LMC is trying to simplify. Therefore, I would like to introduce a practical overview of how data science is applied at LMC to achieve such a goal. We do so by applying data science to better understand our users experience and abilities using techniques of Natural Language Processing (NLP). Moreover, we examine current preferences of our users using Recommender System in order to recommend them the most relevant job options and shorten the path to their next career.

Talk 2: Vojtěch Filipec: Curious about a new place? Explore many of them via OpenStreetMaps API

Knowledge of the neighborhoods may identify deficient services to a marketing company, it also enables you to address your spouse's inquiry about points of interest on a day-trip. To acquire such knowledge, you need a rich source of data with decent API. OpenStreetMaps offer both. This talk explains how to access the data points in OSM and how to query their labels and content using two Python libraries (overpass and overpy) as well as the underlying OSM query language.

Note: This is an extended version of the talk from PyCon CZ 2019.