PyData

URL:
http://pydata.org/
Description:

The PyData conference and workshop is a semi-annual event for scientists, engineers, and data analysts in the Python community. The conference focuses on techniques and tools for management, analytics, and visualization of data of different types and sizes with particular emphasis on big data.

Number of videos:
8
Advanced matplotlib tutorial with library author John Hunter

In this video tutorial from the 2012 PyData Workshop, John Hunter, author of matplotlib is going to give you some advanced insight into the plotting library.

Event: PyData
Speakers: John Hunter
Recorded: March 30, 2012
Language: English
Last updated: January 29, 2013
PyData: Data Analysis in Python with Pandas

Coming from the 2012 PyData Workshop, Wes McKinney, CTO and cofounder of Lambda Foundry, gives us a tour of Pandas, a rich data manipulation tool built on top of NumPy. Frustrated with working in R, Wes started building Pandas in 2008 with a focus on fast, intuitive data structures and data manipulation capabilities. The Pandas project has seen huge growth in the last few years, and aims to be the ultimate data tool for Python.

Event: PyData
Speakers: Wes McKinney
Recorded: March 30, 2012
Language: English
Last updated: January 29, 2013
Tutorial: scikit-learn - Machine Learning in Python

In this video tutorial from PyData Workshop, scikit-learn contributer Jacob VanderPlas is going to give you an overview of machine learning in Python using scikit-learn.

He'll talk about general machine learning concepts, as well as walk you through a few exercises that demonstrate how you can use machine learning technology.

Event: PyData
Speakers: Jacob VanderPlas
Recorded: March 30, 2012
Language: English
Last updated: January 29, 2013
Boosting NumPy with Numexpr and Cython

In this video from the 2012 PyData Workshop Francesc Alted from Continuum Analytics is going to show you how you can boost NumPy with Numexpr and Cython.

Event: PyData
Speakers: Francesc Alted
Recorded: March 2, 2012
Language: English
Last updated: January 29, 2013
Image Processing in Python with scikits-image

In this video from the 2012 PyData Workshop, Stéfan van der Walt is going to give you an in-depth look at scikits-image, the image processing toolbox for Python.

Stefan will talk about the wide application for image processing in industry, and demonstrate how you can use scikits-image to solve specific industry problems.

Event: PyData
Speakers: Stéfan van der Walt
Recorded: March 2, 2012
Language: English
Last updated: January 29, 2013
Python in Big Data with an overview of NumPy & SciPy

Travis Oliphant, CEO of Continuum Analytics, kicks off the PyData Workshop with a talk on Python in Big Data. Topics addressed include what Python has to offer the world of Big Data, specific use-cases, as well asking why Hadoop is considered the de-facto standard.

Additionally, Travis gives an overview of NumPy and SciPy.

Event: PyData
Speakers: Travis Oliphant
Recorded: March 2, 2012
Language: English
Last updated: January 29, 2013
The Disco MapReduce Framework

Chris Mueller from Life Technologies introduces us to Disco, a MapReduce framework built in Python and Erlang.

Showing that Hadoop is not alone in the MapReduce world, Chris reviews the basic MapReduce paradigm, dataflow, file and job distribution, and goes on to explain the Disco Distributed Filesystem (DDFS) before going into some use- case scenarios in next generation genomic sequencing.

Event: PyData
Speakers: Chris Mueller
Recorded: March 2, 2012
Language: English
Last updated: January 29, 2013
Workshop Panel with Guido van Rossum

In this presentation from the 2012 PyData Workshop hosted at Google on March 2-3, Guido van Rossum, author of the Python programming language, engages in an open discussion on the intersection of the evolution of Python and the growth of the scientific community. Panelists include Fernando Perez, Travis Oliphant, and David Cournapeau.

Event: PyData
Speakers: Guido van Rossum
Recorded: March 2, 2012
Language: English
Last updated: January 29, 2013