Overview: Python has long been great for data munging and preparation, but less so for data analysis and modeling. pandas helps fill this gap, enabling you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R. Combined with the excellent IPython toolkit and other libraries, the environment for doing data analysis in Python excels in performance, productivity, and the ability to collaborate. Pandas provides to the Python programmer many of the features of R, such as: A fast and efficient DataFrame object for data manipulation with integrated indexing;

Date : 10th December 2014 to 10th December 2014

Place : United States, Online event

Website :http://bit.ly/1xnIJSB

Contact Person:James Richard

Description:

Overview: Python has long been great for data munging and preparation, but less so for data analysis and modeling. pandas helps fill this gap, enabling you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R. Combined with the excellent IPython toolkit and other libraries, the environment for doing data analysis in Python excels in performance, productivity, and the ability to collaborate. Pandas provides to the Python programmer many of the features of R, such as: A fast and efficient DataFrame object for data manipulation with integrated indexing;

Overview: Python has long been great for data munging and preparation, but less so for data analysis and modeling. pandas helps fill this gap, enabling you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R. Combined with the excellent IPython toolkit and other libraries, the environment for doing data analysis in Python excels in performance, productivity, and the ability to collaborate. Pandas provides to the Python programmer many of the features of R, such as: A fast and efficient DataFrame object for data manipulation with integrated indexing; will be held in Online event,United States on date 2014-12-10

---

Deadline for abstracts/proposals : 8th December 2014

Keynote Speakers :

Check the event website for more details.