PyData.org is the home for all things related to the use of Python in data management and analysis. This site aims to make open source data science tools easily accessible by listing the links in one location. If you would like to submit a download link or any items to be listed in PyData News, please let us know at: admin@pydata.org
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python runs on Windows, Linux/Unix, Mac OS X, and has been ported to the Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license.
PyData conferences are a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.
We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and oppor- tunities for package developers and users to meet in person.
A major goal of PyData events and conferences is to provide a venue for users across all the various domains of data analysis to share their ex- periences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.
PyData is organized by NumFOCUS with the generous help and support of our sponsors. Proceeds from PyData are donated to NumFOCUS and used for the continued development of the open-source tools used by data scientists If you would like to volunteer to be a part of the PyData team contact us at: admin@pydata.org
The tutorial and breakfast, sponsored by Eurex, will be Friday morning from 8:30 - 11:30 am. The Interactive Financial Analytics with Python and IPython session will be taught by Yves Hilpisch and will include examples based on the VSTOXX Volatility Index. Please see the abstract for important background and technical requirements.
There is no additional charge for this tutorial, but you do need to register for it. The previously scheduled PyData tutorials will begin at 12:00 pm, immediately following lunch.
One of the goals of PyData is to increase awareness and excitement around opportunities for women and underrepresented groups in software engineering. To increase diversity in scientific computing, our outreach programmes range from hosting workshops to introduce programming to young women, to encouraging diversity in speakers.
For PyData London 2014, we are offering scholarship opportunities to women and those from other underrepresented groups who may otherwise be unable to attend the conference. Generous donations from the Python Software Foundation and NumFocus have made these efforts possible.
To apply for a scholarship, please fill out our application.
