The Latest and Greatest Pandas Features (since v 0.11)

Category: Technology

On May 28, 2014 Phillip Cloud, core contributor for the Pandas data analytics Python library, spoke at a joint meetup of the New York Quantitative Python User’s Group (NY QPUG) and the NY Finance PUG. Enthought hosted and about 60 people joined us to listen to Phillip present some of the less-well-known, but really useful …
Continue Reading

PyXLL: Deploy Python to Excel Easily

Category: Technology

Today Enthought announced that it is now the worldwide distributor for PyXLL, and we’re excited to offer this key product for deploying Python models, algorithms and code to Excel. Technical teams can use the full power of Enthought Canopy, or another Python distro, and end-users can access the results in their familiar Excel environment. And it’s straightforward to set …
Continue Reading

PyQL and Quantlib in Python

Category: Technology

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 Python-based finance applications using QuantLib. There were about 30 people attending the talk at the Cornell Club in New York City. We have a recording of the presentation below. QuantLib …
Continue Reading

Enthought Secures $1M Python Grant

Category: Technology

We are excited to announce that Enthought is undertaking a multi-year project to bring the strengths of NumPy to high-performance distributed computing.  The goal is to provide a more intuitive and user-friendly interface to both distributed array computing and to high-performance parallel libraries.  We will release the project as open source, providing another tool in …
Continue Reading

Join the Conversation

Connect with more Enthought Content

Visit the Knowledge Base

Access more information and support.
View