ESILV, Paris "Big Data"
We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.
A major goal of PyParis is to provide a venue for users across all the various domains of information technology and computer science to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.
This year, we will have the following tracks:
More information on the pyparis.org website.
Keynote Nicholas Tollervey, Tollervey Ltd.
Keynote Andreas Müller, Columbia University, scikit-learn core developer/ author of the O’Reilly book “Introduction to machine learning with Python”
Some extensions for Jupyter/Python notebook, Jean-François Bercher
FluidDyn, open-science in fluid dynamics with Python: examples of recent developments, Pierre Augier
Incremental Computation in Python, Phillip Schanely
Camisole: a secure online sandbox to grade students, Antoine Pietri
Micro: bit workshop
Introduce AI to kids? It’s possible! Jill-Jênn Vie
Circuit Simulation using Python, Fabrice Salvaire
Cloud computing made easy in Joblib Alexandre Abadie
Scikit-learn: an incomplete yearly review Gael Varoquaux
How to prepare your text data for NLP applications Loryfel Nunez
Building and deploying a predictive API using scikit-learn, Flask and Docker. Nawfal Tachfine
Machine Learning to moderate ads in real world classified’s business Vaibhav Singh
Performant Python Burkhard Kloss
wolfcrypt: wrapping secrets in Python Moisés Guimarães de Medeiros
Unicode and bytes demystified Boris Feld
Program in Python against big data clusters from one VM, thanks to Docker Benjamin Guinebertière
Topic Modelling (and a lot more) with NLP framework Gensim Bhargav Srinivasa Desikan
Introduction to Data Analysis using Python Francis Wolinski
Data analysis with Pandas Joris Van den Bossche
Function-as-a-Service: A Pythonic Perspective on Serverless Computing Josef Spillner
An introduction to Deep Learning with mxnet Julien Simon
Programme dirigé par Stéfane Fermigier (Abilian), Gaël Varoquaux (Inria).