Objective
The objective of this talk is to describe new scientific graphing options available to engineers, scientists, and programmers in Python, beyond basic matplotlib. A session attendee will gain a broad overview of the new tools in this field available to them, how to use them, as well as what we might expect in the future. Open-source, IPython notebooks available on GitHub will be used to give examples.
Description
Matplotlib has wonderfully served the Python community as the cornerstone of scientific graphics. Recently, many additional Python plotting options have surfaced, aimed to make it easier to create graphics that are interactive and web-publishable. This talk will outline these new options with some easy-to-follow, IPython notebooks.
Requirements
Easy! A laptop with Python or IPython notebook ready-to-go.
Speaker bio
Ben Postlethwaite, the Engineering Director at Plotly, will be presenting this talk. Ben works on the Plotly Python and Julia APIs, as well as 3d visualization, Plotly's sharing platform, and backend Django infrastructure. Ben has a masters in Physics from University of British Columbia, and has been working with Python for scientific data and web applications for the past 8 years.