Workshops — Friday April 8, 2016

9:00	Registration
9:30	Basic Python Packages for Science Alejandro Sáez Mollejo, Siro Moreno
11:15	Coffee
11:45	Pandas for beginners Kiko Correoso
13:30	Lunch
15:00	Python for distributed systems Guillem Borrell
16:45	Coffee
17:15	Usando contenedores para Big Data Francesc Alted
19:00

Talks — Saturday April 9, 2016

9:00	Registration
9:30	A Hitchhiker's Guide to Data Science Christine Doig
10:15	Understanding Random Forests Marc Garcia
11:00	Coffee
11:30	Embrace conda packages: the build system we always needed, but never deserved Juan Luis Cano Rodríguez
12:15	A Primer on Recommendation Systems (Talk) Manuel Garrido Pena
13:00	Python tools for webscraping Jose Manuel Ortega
13:45	Lunch
15:30	The solution of inverse problems. Tomás Gómez Alvarez-Arenas
16:15	Towards a full stack python monitoring+analytics framework Pablo Manuel García Corzo
17:00	Coffee
17:30	City attractiveness seen through Twitter Antònia Tugores
18:15	Lightning Talks
19:00

Talks — Sunday April 10, 2016

9:00	Registration
9:30	Handling Big Data on Modern Computers: A Developer's View Francesc Alted
10:15	Reinforcement Learning in Python Nathan Epstein
11:00	Coffee
11:30	The Future of NumPy Indexing Jaime Fernández
12:15	Whoosh: a fast pure-Python search engine library Claudia Guirao Fernández
13:00	Python for developing a real-time automated trading platform Miguel Sánchez de León Peque
13:45	Lunch
15:30	Modelling a text corpus using Deep Boltzmann Machines in python Ricardo Pio Monti
16:15	Remove before flight: Analysing flight safety data with Python Jesús Martos Carrizo, Alejandro Sáez Mollejo
17:00	Coffee
17:30	An Architecture to Tweet Them All Jesús Sánchez
18:15	Closing Address
19:00