PyParis 2018 - Introduction

(10:46)

PyParis 2018 - Let the AI Do the Talk: Adventures with Natural Language Generation

(37:14)

PyParis 2018 - Python tooling for continuous deployment

(20:50)

PyParis 2018 - Modern Pandas - Writing effective, readable data pipeline

(36:28)

PyParis 2018 - A Short History of Array-based Computing in Python

(34:16)

Pyparis 2018 - Scikit-learn: news on making even better machine learning

(40:26)

PyParis 2018 - Robosat: an Open Source and efficient Semantic Segmentation...

(17:48)

PyParis 2018 - A better way to use modern Javascript/Node.js with Django

(20:28)

PyParis 2018 - Lightning talks

(45:40)

PyParis 2018 - Vaex: Out of Core Dataframes for Python

(43:59)

PyParis 2018 - Sponsor speech (Wifirst)

(3:34)

PyParis 2018 - Using Deep Learning to rank and tag millions of hotel images

(38:6)

PyParis 2018 - Scaling from 0 to 60k RPM

(21:34)

PyParis 2018 - Machine Learning with Scikit-Learn: quick clusterization...

(39:18)

PyParis 2018 - Inside Rapid.Space

(44:12)

PyParis 2018 - Crossing the native code frontier

(25:1econd)

PyParis 2018 - What is asyncio and when to use it, an example with WatchGhost

(37:41)

PyParis 2018 - Data Science for Industry 4.0

(18:54)

PyParis 2018 - Bonobo, Airflow and Grafana to visualize your business

(32:47)

PyParis 2018 - How to use AsyncIO...

(40:26)