Slides
Keynotes
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Introduction, Stéfane Fermigier (Program Chair) [Slides] [Video]
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Keynote : Is Python still production ready ? Ludovic Gasc [Slides] [Video]
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Keynote : Python in Education, Nicholas Tollervey [Slides] [Video]
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Keynote : promises and perils in AI, Andreas Müller [Slides] [Video]
Track: Data 1
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Neat Analytics with Pandas Indexes, Alexander Hendorf [Slides] [Video]
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Pandas: what’s new and what’s coming, Joris Van den Bossche [Slides] [Video]
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Some extensions for Jupyter/Python notebook, Jean-François Bercher Slides] Video]
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Simple ETL in python 3.5+ with Bonobo, Romain Dorgueil [Slides] [Video]
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Open-Source Analytics Stack on MongoDB, with Schema, Pierre-Alain Jachiet and Aurélien Gervasi [Slides] [Video]
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FluidDyn, open-science in fluid dynamics with Python: examples of recent developments, Pierre Augier
Track: Data 2
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From Python to smartphones: neural nets @ Saint-Gobain, François Sausset [Slides] [Video]
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Using Python to fight Malaria, Pierre Poulain [Slides] [Video]
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Collaborative filtering for recommendation systems in Python, Nicolas Hug [Slides] [Video]
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Automatic image moderation in classifieds, Jarosław Szymczak [Slides] [Video]
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A Beginners Guide to Weather & Climate Data, Margriet Groenendijk [Slides] [Video]
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xtensor: the lazy tensor algebra library, Johan Mabille [Slides] [Video]
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The rod of Asclepios: Machine learning in Python for cardiac image analysis, Jan Margeta [Slides] [Video]
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Machine Learning in computational materials science: an overview, a primer, and a rant, Igor Mosyagin [Slides] [Video]
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FreeDiscovery - information retrieval and e-Discovery in Python, Roman Yurchak [Slides] [Video]
Track: Web / Cloud
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Using Python for IoT: a return of experience, Alexandre Abadie [Slides] [Video]
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Syncing up with Python’s asyncio for (micro) service development, Joir-dan Gumbs [Slides] [Video]
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Building a high-performance, scalable ML & NLP platform with Python, Sheer El Showk [Slides] [Video]
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Designing and coding for cloud-native applications using Python, Harjinder Mistry [Slides] [Video]
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Ways to generate PDF from Python Web applications, Gaël Le Mignot [Slides] [Video]
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Serverless architecture in Python with Azure Functions, Benjamin Talmard [Slides] [Video]
Track: Core
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Mock it right! A beginner’s guide to world of tests and mocks, Maciej Polańczyk [Slides] [Video]
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Incremental Computation in Python, Phillip Schanely [Slides] [Video]
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Improving python memory management in a multi-process environment with wendelin.core, Jean-Paul Smets [Slides] [Video]
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Writing a C Python extension in 2017, Jean-Baptiste Aviat [Slides] [Video]
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Call a C API from Python becomes more enjoyable with CFFI, Jean-Sébastien Bevilacqua [Slides] [Video]
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Developer-friendly task queues: what we learned building MRQ, Sylvain Zimmer [Slides] [Video]
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Robustifying concurrent.futures, Thomas Moreau [Slides] [Video]
Track: Education
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How to make teenage girls love coding using Python and the visual arts-oriented language Processing ? Ch’ticode [Slides] [Video]
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Camisole: a secure online sandbox to grade students, Antoine Pietri [Slides] [Video]
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Micro: bit workshop
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Introduce AI to kids? It’s possible! Jill-Jênn Vie [Slides] [Video]
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Circuit Simulation using Python, Fabrice Salvaire [Slides] [Video]
Track: Scikit Learn
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Cloud computing made easy in Joblib Alexandre Abadie [Slides]
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Machine Learning for Computer Security Experts using Python & scikit-learn Anaël Bonneton [Slides]
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Scikit-learn: an incomplete yearly review Gael Varoquaux [Slides]
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How to prepare your text data for NLP applications Loryfel Nunez [Slides]
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Building and deploying a predictive API using scikit-learn, Flask and Docker. Nawfal Tachfine [Slides]
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Machine Learning to moderate ads in real world classified’s business Vaibhav Singh [Slides]
Track: Core / Web
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Performant Python Burkhard Kloss [Slides]
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wolfcrypt: wrapping secrets in Python Moisés Guimarães de Medeiros [Slides]
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Unicode and bytes demystified Boris Feld [Slides]
Tutorials
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Program in Python against big data clusters from one VM, thanks to Docker Benjamin Guinebertière [Slides]
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Topic Modelling (and a lot more) with NLP framework Gensim Bhargav Srinivasa Desikan [Slides]
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Introduction to Data Analysis using Python Francis Wolinski [Slides]
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Data analysis with Pandas Joris Van den Bossche
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Function-as-a-Service: A Pythonic Perspective on Serverless Computing Josef Spillner [Slides] [Tutorial transcript]
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An introduction to Deep Learning with mxnet Julien Simon
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AsyncIO and aiohttp workshop Ludovic Gasc [Slides]