videos from PyCon 2014
15 Apr 2014Here (all of them).
Here are the stats-related ones:
Data intensive biology in the cloud: instrumenting ALL the things (Titus Brown)
Diving into Open Data with IPython Notebook & Pandas (Julia Evans)
Keynote (Fernando Pérez)
Know Thy Neighbor: Scikit and the K-Nearest Neighbor Algorithm (Portia Burton)
Bayesian statistics made simple (Allen Downey)
Beyond Defaults: Creating Polished Visualizations Using Matplotlib (Hannah Aizenman)
Data Wrangling for Kaggle Data Science Competitions – An etude (Krishna Sankar)
Enough Machine Learning to Make Hacker News Readable Again (Ned Jackson Lovely)
Hands-on with Pydata: how to build a minimal (Christian Fricke , Diego Maniloff , Zach Howard)
How to Get Started with Machine Learning (Melanie Warrick)
IPython in depth: high productivity interactive and parallel python (Fernando Perez)
Python for Social Scientists (Renee Chu)
Python + Geographic Data = BFFs (Mele Sax-Barnett)
Realtime predictive analytics using scikit-learn & RabbitMQ (Michael Becker)
Diving deeper into Machine Learning with Scikit-learn (Jake Vanderplas , Olivier Grisel)
Exploring Machine Learning with Scikit-learn (Jake Vanderplas , Olivier Grisel)
How to formulate a (science) problem and analyze it using Python code (Eric Ma)
And here are the webscraping/text_processing-related ones:
Character encoding and Unicode in Python (Esther Nam , Travis Fischer)
Introduction to Regular Expressions (Luke Sneeringer)
Introduction to Web (and data!) Scraping with Python (Katharine Jarmul)
Python Scraping Showdown: A performance and accuracy review (Katharine Jarmul)
Search 101: An Introduction to Information Retrieval (Christine Spang)
Mining Social Web APIs with IPython Notebook (Matthew Russell)
