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Webinar – Python for Professionals: The Complete Guide to Enthought’s...
What: Presentation and Q&A with Dr. Michael Connell, VP, Enthought Training Solutions Who Should Watch: Anyone who wants to develop proficiency in Python for scientific, engineering, analytic,...
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Webinar: Python for Data Science: A Tour of Enthought’s Professional Training...
What: A guided walkthrough and Q&A about Enthought’s technical training course “Python for Data Science and Machine Learning” with VP of Training Solutions, Dr. Michael Connell Who Should Watch:...
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Webinar: Python for Scientists & Engineers: A Tour of Enthought’s...
What: A guided walkthrough and Q&A about Enthought’s technical training course Python for Scientists & Engineers with Enthought’s VP of Training Solutions, Dr. Michael Connell Who Should...
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SciPy 2013 Conference Recap
Author: Eric Jones Another year, another great conference. Man, this thing grew a ton this year. At final count, we had something like 340 participants which is way up from last year’s 200 or so...
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Canopy v1.1 – Linux, Command Line Interface and More
With version 1.1, Enthought Canopy now: 1) addresses, much more completely, the command line use cases that EPD users and IT managers expect from their Python distributions, 2) makes Linux support...
View ArticleFor all you EPD Users: Canopy v1.1
EPD (Enthought Python Distribution) provided a simple install of Python for scientific computing on the major platforms: Windows, Linux and Mac-OS. Those looking for a clean, straightforward Python...
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Advanced Cython Recorded Webinar: Typed Memoryviews
Author: Kurt Smith Typed memoryviews are a new Cython feature for accessing memory buffers, such as NumPy arrays, without any Python overhead. This makes them very useful for manipulating blocks of...
View ArticleExploring NumPy/SciPy with the “House Location” Problem
Author: Aaron Waters I created a Notebook that describes how to examine, illustrate, and solve a geometric mathematical problem called “House Location” using Python mathematical and numeric libraries....
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PyQL and QuantLib: A Comprehensive Finance Framework
Authors: Kelsey Jordahl, Brett Murphy Earlier this month at the first New York Finance Python User’s Group (NY FPUG) meetup, Kelsey Jordahl talked about how PyQL streamlines the development of...
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Plotting in Excel with PyXLL and Matplotlib
Author: Tony Roberts, creator of PyXLL, a Python library that makes it possible to write add-ins for Microsoft Excel in Python. Download a FREE 30 day trial of PyXLL here. Python has a broad range of...
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