Archive for the 'Webinars' category

Webinar: Work Better, Smarter, and Faster in Python with Enthought Training on Demand

Jul 22 2014 Published by under Enthought Training on Demand, NumPy, Python, SciPy, Training, Webinars

 

Join Us For a Webinar

We’ll demonstrate how Enthought Training on Demand can help both new Python users and experienced Python developers be better, smarter, and faster at the scientific and analytic computing tasks that directly impact their daily productivity and drive results.

Enthought Training on Demand Webinar

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

  • Tues, August 5, 2014, 1:00-1:45 PM CDT (REGISTER)
  • Wed, August 6, 2014, 8:00-8:45 AM CDT (REGISTER)
  • Wed, August 13, 2014 11:00-11:45 AM CDT (REGISTER)

 

What You’ll Learn

Whether you’re new to the language or looking to expand your existing capabilities, you’ll see examples of how this innovative training can help you:

    • Work Better by using the most effective approaches to problems, reducing time spent on trial and error; we’ll show you not just the “what” but the “how” and “why”
    • Work Smarter by building and refining your use of the language and deepening your skillset with new tools and techniques proven to make you more efficient and deliver more insightful results
    • Work Faster by accelerating your learning through courses tailored to the particular tasks and needs of your role; you’ll focus your learning time on the 20% of topics you’ll put to use 80% of the time

See FREE course preview videos

See the course catalog / buy a course(s) here 


 

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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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