Program

A printable PDF of the program can be found here.

Tutorials are hands-on sessions, therefore you should bring your own laptop and follow our installation instructions for tutorials

Monday 28/08 - Tutorial day 1

	Intro	Advanced
08:30	registration
9:00	Python Guillaume Lemaître	Scikit-learn Olivier Grisel & Tim Head
10:30	morning break
11:00	Python Guillaume Lemaître	Scikit-learn Olivier Grisel & Tim Head
12:30	lunch
14:00	Numpy Gert Ingold	Advanced Pandas Joris Van den Bossche
15:30	afternoon break
16:00	Numpy Gert Ingold	Networkx Mridul Seth
17:30

Tuesday 29/08 - Tutorial day 2

	Intro	Advanced
08:30	registration
09:00	Matplotlib Mike Mueller	Scikit-image Emmanuelle Gouillart
10:30	morning break
11:00	Pandas Joris Van den Bossche	Keras Valerio Maggio
12:30	lunch
14:00	SciPy Gaël Varoquaux	Cython Stefan Behnel
15:30	afternoon break
16:00	Git Gert Ingold	SymPy Sartaj Singh & Gaurav Dhingra
17:30

Wednesday 30/08 - Conference day 1

08:30	registration
09:00	Opening notes
09:15	How to Fix a Scientific Culture: Psychology as a Cautionary Tale and Paragon Keynote by Julia Rohrer
10:15	Getting the hang of WASM Almar Klein
10:30	morning break
11:00	Interactive 3D Visualization in Jupyter Notebooks Vidar Tonaas Fauske
11:15	Arcas - Using Python to access open research literature Nikoleta E. Glynatsi
11:30	Real-time Crowd-sourced Detection of Earthquakes Robert Steed
11:45	Pyrate - Optical Raytracing Based on Python Johannes Hartung & Moritz Esslinger
12:00	Working with Audio Data in Python Bastian Bechtold
12:15	Simphony-Remote - Accessing containerized desktop and web applications with a web browser Stefano Borini
12:30	lunch
14:00	GeoPandas - geospatial data in Python made easy Joris Van den Bossche
14:30	Learning 2D Animation with Processing Melanie McCall
14:45	Introduction into the ppci project Windel Bouwman
15:00	nbval - Testing your notebooks Thomas Kluyver
15:15	Testing the unknown: how to test scientific codes Alice Harpole
15:30	afternoon break
16:00	Poster introductions (2 minute talks)
16:30	Poster session
17:30	BOF about organizing EuroSciPy 2018 in Hörsaal F (a.k.a. the small room)
19:00	Social event: guided tour in Entlas Keller

Thursday 31/08 - Conference day 2

08:30	registration
09:00	PyTorch - a framework for fast, dynamic deep learning and scientific computing Keynote by Soumith Chintala
10:00	Fully Convolutional Networks for Image Segmentation Daniil Pakhomov
10:15	FluRS - A Library for Streaming Recommendation Algorithms Takuya Kitazawa
10:30	morning break
11:00	Handshakes, Citizen Science and Evolution Vince Knight
11:15	fastmat - A simple Package for Fast Linear Transforms Sebastian Semper & Christoph Wagner
11:30	AutoWIG: Wrapping very large C++ libraries in Python automatically Pierre Fernique
11:45	Leverage knowledge from under-represented classes in machine learning: an introduction to imbalanced-learn Guillaume Lemaitre
12:00	The OpenTURNS uncertainty quantification Python module Michael Baudin
12:15	Deep Learning for Fraud Detection Valerio Maggio
12:30	lunch
14:00	Tricks for Efficient Multicore Computing Oliver Grisel
14:30	AMfe - Finite Elements for Structural Dynamics with Simplicity in Mind Christian Meyer
14:45	Bayesian Optimization - Can you do better than randomly guessing parameters? Tim Head
15:15	Autoscaling distributed compute with Dask, Kubernetes and AWS Jacob Tomlinson & Alex Hilson
15:30	afternoon break
16:00	Lightning Talks

Friday 01/09 - Sprints

Several projects will be sprinting on Friday. These sprints are a great opportunity to get started with contributing to your favorite project. If you want to organize a sprint, please contact the organization.