New Webinar: Supercharging Excel Analytics with Python

May 05 2014 Published by under PyXLL, Webinars

Python in Excel allows for interactive graphical data selection and cleansingJoin us for a webinar to see how the PyXLL Python for Excel add-in makes it easy to solve your biggest data analysis challenges with advanced Python tools and analytic engines.

Space is limited! Click a session link below to reserve your spot today:

Tuesday, May 13, 2014, 1:00-1:45 PM CDT
Wednesday, May 14, 2014, 8:00-8:45 AM CDT / 2:00-2:45 PM BST
Wednesday, May 21, 2014, 1:00-1:45 PM CDT

Who Should Attend

Anyone who wants a user-friendly solution to leverage the full power of Python’s data analysis libraries and parallel processing capabilities within Excel.

What You’ll Learn

Extending the native analytic capabilities of Excel or implementing Excel-backend analytics on a cluster or in the cloud with VBA, C++, and other legacy languages is challenging and time-consuming. Python’s elegant syntax and extensive ecosystem of analytic packages can greatly simplify the development of advanced analytic tools and cluster/cloud-based backend capabilities in Excel.

We’ll demonstrate how to:

  1. Implement Excel backend parallel computations on local clusters or cloud-based platforms such as Microsoft Azure with Python
  2. Use Python functions to implement advanced, interactive graphical analytic tools in ExcelGitHub_Logo
  3. Reduce risk by storing code in GitHub version control instead of embedded VBA in Excel files

Click a session link below to reserve your spot today:

Tuesday, May 13, 2014, 1:00-1:45 PM CDT
Wednesday, May 14, 2014, 8:00-8:45 AM CDT / 2:00-2:45 PM BST
Wednesday, May 21, 2014, 1:00-1:45 PM CDT

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Enthought Canopy 1.4 Released: Includes New Canopy-Configured Command Prompt

Apr 29 2014 Published by under Enthought Canopy

Enthought Canopy Product Page | Download Enthought Canopy

Enthought Canopy Update AvailableEnthought Canopy 1.4 is now available! Users can easily update to this latest version by clicking on the green “Update available” link at the bottom right of the Canopy intro screen window or by going to Help > Canopy Application Updates within the application.

Key additions in this release are a Canopy-configured command prompt, inclusion of new packages in the full installer utilized by IT groups and users running from disconnected networks, and continued stability upgrades. We’ve also updated or added over 50 supported packages in Canopy’s Package Manager on a continual basis since the v.1.3 release. See the full release notes and the full list of currently available Canopy packages.

New Canopy-Configured Command Prompt

Enthought Canopy Command PromptAn important usability feature added in Enthought Canopy 1.4 is a Canopy-configured command prompt available from the Canopy Editor window on all platforms via Tools > Command Prompt. When selected, this opens a Command Prompt (Windows) or Terminal (Linux, Mac OS) window pre-configured with the correct environment settings to use Canopy’s Python installation from the command line. This avoids having to modify your login environment variables. In particular, on Windows when using standard (ie, non-administrative) user accounts it can be difficult to override some system settings.

Full Installers Updated with New Packages

The full installers have been updated with many new packages as well. The following packages are now bundled in the full installers: atom, boto, fiona, flake8, kiwisolver, mccabe, NLTK, pandsql, patsy, pyephem, pyodbc, pyshp, pysal, sqlparse, and traits_enaml.

All of these packages are also available via Canopy’s Package Manager for on-demand installation; the full installers provide bundled access to these packages for IT groups performing large installations and for users running from disconnected networks. See the Enthought Canopy Package Index for additional information on these and other bundled packages.

Over 50 Supported Canopy Packages Updated or Added

Since the Canopy v1.3 release we have updated or added over 50 supported Canopy packages. Highlighted new additions include: cartopy, Python Tools for Visual Studio (PTVS), blosc/libblosc, and GDAL with hdf5 support. Key packages with updates include: ipython 2.0, pandas, pysal, pyzmq/zmq, enaml, and requests.

Windows Installation Note: we uncovered one issue during final testing that impacts Windows users who will be updating both the 32- and 64-bit Canopy versions on the same machine. If you have both versions installed, please see this Knowledge Base article.

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