PyData Dallas 2015

####A Thorough Machine Learning Pipeline via Scikit Learn

• By: Bugra Akyildiz
• iPython Notebooks

####Building Python Data Applications with Blaze and Bokeh

• By: Andy R. Terrel and Christine Doig

####Building Machine Learning Applications in Python

• Rajat Arya and Yucheng Low

####Python Data Analytics Workshop - NumPy, pandas, matplotlib, and SciPy

• By: Vivian Zhang

####Blaze in the Real World

• By: Phillip Cloud

####Python in Scientific Research

• By: Andy R. Terrel

####Integration With the Vernacular the NumPy Approach

• By: James Powell

####State of the Py, 2015

• By: Peter Wang

####To the Future with Jupyter

• By: Kyle Kelley

####Deploying scikit learn Models in Production

• By: Rajat Arya

####Beyond t tests - How to Conclude an Online Experiment Using Python

• By: Volodymyr Kazantsev

####Bokeh Tutorial

• By: Bryan Van De Ven

####SFrame - A Scalable, Out of Core Dataframe for Machine Learning

• By: Yucheng Low

####A Python Module for Data Analytics with Interval Computing

• By: Chenyi Hu

####Odo - Shape Shifting Data—A Handy Tool to Guide You from CSV HDFS and Beyond

• By: Ben Zaitlen

####Reproducible Multi language Data Science with Conda

• By: Christine Doig