Enthought Webinars
Our EPD webinars address focused "How do I..." topics to help users get the most out of the Enthought Python Distribution and improve their Python workflow. EPD subscribers receive secure registration links in their monthly subscriber emails.
We also open EPD webinars to the public on a space-available basis: If the number of registered subscribers does not meet or exceed 30 by the Wednesday preceding the event, we will then contact individuals from the waiting list.
Archives
Each directory listed below contains a video recording of the webinar (WMV and MKV formats), along with any example code or slides used during the presentation. Files are located in the EPD repository, accessible only to EPD subscribers.
- How do I...create declarative UIs with EnaML?
- How do I...use FWrap, CWrap, & Cython to write Python extensions?
- How do I...use the import hooks in Python?
- Review of SciPy 2011 with Stéfan van der Walt
- Using NumPy and SciPy in Finance: Pricing, Hedging, and Risk
- How do I... implement a Monte Carlo simulation?
- How do I... process images? Part II
- How do I... solve ODEs? Part II
- How do I... use ØMQ for fast messaging?
- How do I... use parallel processing?
- How do I... process images?
- How do I... build interactive 2D visualizations?
- How do I... solve ODEs?
- How do I... interact with a database?
- Review of SciPy 2010
- How do I...interpolate my data?
- How do I...perform statistical analysis?
- How do I...create Chaco plots?
- How do I...optimize?
- How do I...use PiCloud for cloud computing?
- How do I...interface with other languages?
- How do I...build a user interface with Traits?
- How do I...use Envisage for GUIs?
- How do I...process signals with EPD?
- How do I...read data from all kinds of files?
- How do I...accelerate with Weave & Cython?
- How do I...parallel process with iPython?
- EPDLab, whooshdoc, curve_fit, EPD update and roll-back
Archives from our previous webinar series, Scientific Computing with Python, remain available here. We also publish content on our YouTube channel.
Based on Python 2.7. Speedy linear algebra with MKL on Windows, OSX, and Linux. Now with GDAL and Tornado. Download now.
EPD Webinar: SciPy2011 Review with Stéfan van der Walt
Download video.
EPD Webinar: PiCloud with Ken Alkabany
See the slides on
Slideshare. Download video.
Get the sample code.
