SparklingPandas
SparklingPandas aims to make it easy to use the distributed computing power of PySpark to scale your data analysis with Pandas. SparklingPandas builds on Spark's DataFrame class to give you a polished, pythonic, and Pandas-like API.
Using
You can install SparklingPandas with pip:
pip install sparklingpandas
Once installed, you can import the package and hack away:
import sparklingpandas
Make sure you have the SPARK_HOME environment variable set to the root directory of your Spark 1.4.0 (or above) distribution.
Requirements
The primary requirement of SparklingPandas is that you have a recent (v1.4 currently) version of Spark installed - http://spark.apache.org and Python 2.7.
State
This is in early development. Feedback is taken seriously and is seriously appreciated. As you can tell, us SparklingPandas are a pretty serious bunch.
Videos
An early version of Sparkling Pandas was discussed in Sparkling Pandas - using Apache Spark to scale Pandas - Holden Karau and Juliet Hougland
Support
Check out our Google group at https://groups.google.com/forum/#!forum/sparklingpandas