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Enthought
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#Python Displacing R As The #Programming Language For #Data Science http://ow.ly/3jfVA2
While there are several reasons for the shift, perhaps the biggest one is that Python is general purpose and comparatively easy to learn whereas R remains a somewhat complex programming environment to master. In a world increasingly dependent on data and starved for data scientists, "easy" wins. Creating your custom Python environment is easy with Enthought Canopy http://ow.ly/vS1vj
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Standing room only @Enthought booth 705 #PyCon2014. Last chance to see our #scientificcomputing w/ Python demos! http://ow.ly/vImKE
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Countdown to #PyCon2014 is on: T -7 days! We'll be showing great demos of 2D and 3D visualization apps in booth #705. +1 or comment if you'll be there! @ThePSF http://ow.ly/voeG6
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April Fools was yesterday, but a funny anyways...RT @_inundata "Don’t worry everyone. We know GitHub is down. pic.twitter.com/SpIc18IJTi"
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Visit Enthought at the AAPG (American Association of Petroleum Geologists) Annual Convention #ACE2014 in Houston next week (April 6-9) where we'll be showing great demos of our geoscience data visualization and analysis tools. Contact us for a free guest pass! http://icont.ac/2iNJf
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@infixum: thanks for stopping by for a visit at #pycon2014. Look forward to hearing how @enthought Canopy works for you!
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Come see Didrik Pinte from #Enthought speak on "Harnessing the Power of #HPC with the #Python Ecosystem" at the Advances in #Numerical Algorithms and #High Performance Computing event on Tues 4/15 at the #University of Manchester http://ow.ly/vImut

Abstract: Numerical analysis is at a crossroads where hardware advances are outpacing the capability of software to harness its full potential, leaving data scientists constrained by the limitations of standard algorithms and generic software. To date, the lagging development of more sophisticated mathematical software has been in part due to the need for a programming language that can be learned quickly by a broad audience, yet still be powerful and flexible enough to handle the information throughput of HPC applications.

While Python has historically been overlooked in the high-performance computing world, today, with Python libraries such as NumPy, the language has transformed from a generalist programming language into a highly capable platform for developing next generation algorithms and HPC frameworks. Because Python is easy to learn but also easy to extend, professionals and researchers can build scalable, fast and robust software in a fraction of the time required by other coding languages.

In this presentation, we will illustrate how Python provides the tools and flexibility to develop software that paces the advances in HPC and how Python’s high-level programming stack is enriched by its broad ecosystem of libraries tailored to mathematical and scientific computing. We’ll provide examples of Python’s applicability for HPC ranging from how libraries such as NumPy allow for rapid manipulation and processing of large datasets to creating distributed arrays and interfacing with GPU's. With Python, data scientists now have the building blocks to create comprehensive HPC solutions to fully leverage the power of today’s hardware.
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RT @PythonWeekly http://ow.ly/voWS7 @Enthought shows replacing VBA with #Python in #Excel w/ PyXLL http://ow.ly/voXfd
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#tbt for hackers...@Enthought's Robin Dunn posted about his epic bug hunt through Qt, WebKit, and Codecs: http://ow.ly/vpmGx
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See videos of demos on Implied Volatility w/ith #Python’s Pandas Library and Python in #Excel with PyXLL from this month's NY QPUG Meetup: http://ow.ly/vfwGp, presented by NAG (Numerical Algorithms Group) and #Enthought
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Contact Information
Map of the business location
515 Congress Ave Austin, TX 78701
515 Congress AveUSTXAustin78701
(512) 536-1057enthought.com
Computer Consultant
Enthought, Inc. is a scientific and analytic software company powered by Python. We provide the desktop analysis environment and Python distribution, Enthought Canopy. Canopy’s straight-forward install, update and rollback, and graphical package management greatly reduce the complexity of getting a Python environment working, and the analysis desktop simplifies scripting and analysis tasks for scientists, engineers and analysts. Enthought specializes in providing unique solutions to challenging technical problems and Python training for organizations in geophysics, finance, and research. We have offices in Austin, Cambridge (UK), New York City and Mumbai.
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People talk about python distribution, scientists and engineers, mailing list, technical computing and python programming language
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Jason McCampbell
reviewed 3 years ago
Not an objective observer.