PyData’is an international conference series that gathers users and developers of’data’analysis tools to share ideas and learn from one another. We are excited to host our fourth annual’PyData’New York conference this fall,’November 9th to 11th.
Proposals are now being accepted for’PyData’NYC 2015. The event brings together analysts, scientists, developers, engineers, architects and others from the’data’science community to discuss new techniques and tools for management, analytics, and visualization of’data.’PyData’welcomes presentations focusing on Python as well as other languages used in data’science (e.g. R, Julia). Presentation content can be at a novice, intermediate or advanced level. Talks will run 30-40 min and hands-on tutorials will run 90-120 min.
As a reminder,’PyData’presentations are intended to share knowledge and experience. We welcome talks letting attendees know how how you are using tools in your work, but discourage any proposals with the aim of selling a product.
Starting out with a PyData Workshop at the Googleplex in Mountain View, CA, in 2012 PyData has evolved into a successful conference series on using Python for the management, processing, analysis, and visualization of data. Alongside the popular conferences and the excellent PyData tools/packages a steadily growing PyData community has formed.
The PyData conference series is organized and supported by NumFOCUS, a non-profit organization which promotes world-class, innovative, open source scientific software. NumFOCUS aims to ensure that money is available to keep projects in the scientific Python stack funded and available. So if you find value in these tools and have always wanted to give back, donating to NumFOCUS gives you a way of supporting either a specific project of your choice or all of these great codes at once.
PyData brings top speakers and practitioners from the industry and academia together for’three days of tutorials that cover Python, Pandas, scikit-learn and data science in general.’Talks span the full spectrum of big data, advanced analytics and visualization.