EuroSciPy 2018 SESSION Track 2 - Afternoon (Part 2) 31 08 2018

EuroSciPy 2018 SESSION TRACK 2 MORNING 31 08 2018

Friday 31 August - Track 1 - Afternoon (Part 1)

Friday 31 August - Track 1 - Afternoon (Part 2)

Friday 31 August - Track 1 - Morning

EuroSciPy 2018 SESSION TRACK 2 AFTERNOON PART 2 30 08 2018

EuroSciPy 2018 SESSION TRACK 2 AFTERNOON PART 30 08 2018

EuroSciPy 2018 SESSION TRACK 2 MORNING 30 08 2018

Thursday 30 August - KEYNOTE - How to drive business decisions with AI

Thursday 30 August - Track 1 - Afternoon (Part 1)

Thursday 30 August - Track 1 - Afternoon (Part 2)

Thursday 30 August - Track 1 - Morning

Deep Diving into GANs: From Theory to Production Michele De Simoni, Paolo Galeone 29 08 2018

Deep Learning in Python using Chainer, C. Loomis 29 08 2018

EuroSciPy Advanced Session - CFFI, Ctypes, Cython: the Good, the Bad and the Ugly

EuroSciPy Advanced Session - Data visualization: from default to efficient

EuroSciPy Advanced Session - Parallel Data Analysis with Dask

EuroSciPy Advanced Session - The Hitchhiker's Guide to Parallelism with Python

EuroSciPy Applications Session Advanced machine learning, Y. Peleg 29 08 2018

EuroSciPy Applications Session Advanced Understanding and diagnosing your machine-learning29 08 2018

EuroSciPy 2017: Advanced Pandas

EuroSciPy 2017: AMfe - Finite Elements for Structural Dynamics with Simplicity in Mind

EuroSciPy 2017: Arcas - Using Python to access open research literature

EuroSciPy 2017: Autoscaling distributed compute with Dask, Kubernetes and AWS

EuroSciPy 2017: AutoWIG: Wrapping very large C++ libraries in Python automatically

EuroSciPy 2017: Bayesian Optimization - Can you do better than randomly guessing parameters?

EuroSciPy 2017: Cython

EuroSciPy 2017: Deep Learning for Fraud Detection

EuroSciPy 2017: fastmat - A simple Package for Fast Linear Transforms

EuroSciPy 2017: FluRS - A Library for Streaming Recommendation Algorithms

EuroSciPy 2017: Fully Convolutional Networks for Image Segmentation

EuroSciPy 2017: GeoPandas - geospatial data in Python made easy

EuroSciPy 2017: Getting the hang of WASM

EuroSciPy 2017: Git

EuroSciPy 2017: Handshakes, Citizen Science and Evolution

EuroSciPy 2017: Interactive 3D Visualization in Jupyter Notebooks

EuroSciPy 2017: Introduction into the ppci project

EuroSciPy 2017: Keras

EuroSciPy 2017: Keynote: How to Fix a Scientific Culture: Psychology as a Cautionary Tale

EuroSciPy 2017: Keynote: PyTorch: Framework for fast, dynamic deep learning and scientific computing

EuroSciPy 2017: Leverage knowledge from under-represented classes in machine learning

EuroSciPy 2017: Lightning Talks

EuroSciPy 2017: Matplotlib

EuroSciPy 2017: nbval - Testing your notebooks

EuroSciPy 2017: NetworkX

EuroSciPy 2017: NumPy (1/2)

EuroSciPy 2017: NumPy (2/2)

EuroSciPy 2017: Pandas

EuroSciPy 2017: Poster Introductions

EuroSciPy 2017: Pyrate - Optical Raytracing Based on Python

EuroSciPy 2017: Python (1/2)

EuroSciPy 2017: Python (2/2)

EuroSciPy 2017: Real-time Crowd-sourced Detection of Earthquakes

EuroSciPy 2017: Scikit-image

EuroSciPy 2017: Scikit-learn (1/2)

EuroSciPy 2017: Scikit-learn (2/2)

EuroSciPy 2017: SciPy

EuroSciPy 2017: Simphony-Remote - Accessing containerized desktop and web apps with a browser

EuroSciPy 2017: SymPy

EuroSciPy 2017: Testing the unknown: how to test scientific codes

EuroSciPy 2017: The OpenTURNS uncertainty quantification Python module

EuroSciPy 2017: Tricks for Efficient Multicore Computing

EuroSciPy 2017: Working with Audio Data in Python

EuroSciPy Advanced Session

EuroSciPy Advanced Session - A tour of Python profiling and optimization

EuroSciPy Advanced Session - Privacy for Data Scientists

EuroSciPy Applications Session

EuroSciPy Applications Session Handling Geospatial Data using Python, Part II

Friday 31 August - KEYNOTE - Python in medicine: processing, learning and visualization of data

Live stream di EuroSciPy Session 1

Live stream di EuroSciPy Session 1b

Live stream EusoSciPy2018 session 2

Live stream EusoSciPy2018 session 2b