PyData EuroPython 2016
PyData is an important conference series for the Python Data Science Community, with numerous events held in US and in Europe.
EuroPython meets PyData
We are happy to announce a PyData track as part of the main EuroPython conference this year, so you can enjoy PyData talks and training sessions without having to get an extra ticket.
The EuroPython PyData talks and training sessions are mostly scheduled for Thursday 21st and Friday 22nd of July, with a few on other days as well.
Please note that there may still be some changes to this list in case speakers cannot come and their slots have to be replaced by talks on the waiting list.
Talks
- A Gentle Introduction to Neural Networks (with Python) by Tariq Rashid
- An Introduction to Deep Learning by Geoff French
- Analyzing Data with Python & Docker by Andreas Dewes
- Beyond scraping, getting data from dynamic, heavily javascript driven, websites by Anthon van der Neut
- Building your own AI by Manuel Ebert
- Data Formats for Data Science by Valerio Maggio
- Datu bistaratze soluzioen garapena Smartcity proiektuetan by Iker Martinez de Agirre Mendia
- Deep Learning with Python & TensorFlow by Ian Lewis
- Developing a real-time automated trading platform with Python by Miguel Sánchez de León Peque
- Handling GPS Data with Python by Florian Wilhelm
- Hands-on with nilearn for Neuroimaging by Sourav Singh
- How to improve your diet and save money with Python by Zuria Bauer
- I Hate You, NLP... ;) by Katharine Jarmul
- Ingesting 35 million hotel images with python in the cloud. by Alex Vinyals
- Is that spam in my ham? by Lorena Mesa
- Jupyter for everything else by Mike BRIGHT
- Machine Learning for dummies with Python by Javier Arias Losada
- Machine Learning: Power of Ensembles by Bargava Subramanian
- NetworkX Visualization Powered by Bokeh by Björn Meier
- Nipy on functional brain MRI by Alexandre Savio
- OMG, Bokeh is better than ever! by Fabio Pliger
- Predicting Oscar Winners & Box Office Hits with Scikit Learn by Deborah Hanus
- Pure Data and a Clean Architecture by Felix Marczinowski
- Python Descriptors for Better Data Structures by Adrian Dziubek
- Python in Astronomy by Sławomir Piasecki
- Python in Gravitational Waves Research Communities by Elena Cuoco
- Python, Data & Rock'n'Roll by Claudia Guirao Fernández
- The Joy of Simulation: for Fun and Profit by vincent warmerdam
- Things I wish I knew before starting using Python for Data Processing by Miguel Cabrera
- Un vector por tu palabra by Mai Giménez
- Unveiling the Universe with python by Valeria Pettorino
Training sessions
- (Machine-)Learning Chinese, with Python! by Andreas Dewes
- Introduction to Data Wrangling by Katharine Jarmul
- Introduction to Deep Learning for Natural Language Processing by Bargava Subramanian, Nischal HP, Raghotham Sripadraj
- IPython in Depth by Mike BRIGHT
- NumPy with Cython by Stefan Behnel