Press Releases

Enthought Receives 2017 Product of the Year Award From National Instruments LabVIEW Tools Network

 

Python Integration Toolkit for LabVIEW recognized for extending LabVIEW connectivity and bringing the power of Python to applications in Test, Measurement and the Industrial Internet of Things (IIoT)

 

Python Integration Toolkit for LabVIEW LogoAUSTIN, TX, May 24, 2017 – Enthought, a global leader in scientific and analytic computing solutions, was honored this week by National Instruments with the LabVIEW Tools Network Platform Connectivity 2017 Product of the Year Award for its Python Integration Toolkit for LabVIEW.

First released at NIWeek 2016, the Python Integration Toolkit enables fast, two-way communication between LabVIEW and Python. With seamless access to the Python ecosystem of tools, LabVIEW users are able to do more with their data than ever before. For example, using the Toolkit, a user can acquire data from test and measurement tools with LabVIEW, perform signal processing or apply machine learning algorithms in Python, display it in LabVIEW, then share results using a Python-enabled web dashboard.

SciPy 2017 Conference to Showcase Leading Edge Developments in
Scientific Computing with Python

 

Renowned scientists, engineers and researchers from around the world to gather July 10-16, 2017 in Austin, TX to share and collaborate to advance scientific computing tools

 

SciPy 2017 Conference LogoAUSTIN, TX, JUNE 6, 2017 – Enthought, as Institutional Sponsor, today announced the SciPy 2017 Conference will be held July 10-16, 2017 in Austin, Texas. At this 16th annual installment of the conference, scientists, engineers, data scientists and researchers will participate in tutorials, talks and developer sprints designed to foster the continued rapid growth of the scientific Python ecosystem. This year’s attendees hail from over 25 countries and represent academia, government, national research laboratories, and industries such as aerospace, biotechnology, finance, oil and gas and more.

“Since 2001, the SciPy Conference has been a highly anticipated annual event for the scientific and analytic computing community,” states Dr. Eric Jones, CEO at Enthought and SciPy Conference co-founder. “Over the last 16 years we’ve witnessed Python emerge as the de facto open source programming language for science, engineering and analytics with widespread adoption in research and industry. The powerful tools and libraries the SciPy community has developed are used by millions of people to advance scientific inquest and innovation every day.”

Weatherford Labs and Enthought Collaborate to Analyze Chicxulub Crater Core

 

Crater Believed to Be Tied to Dinosaur Extinction Event

 

HOUSTON, TX, June 21, 2016 – Weatherford Labs and Enthought announced that they are participating in the study of a 2,725-ft (830-m) core recovered from the central area of the Chicxulub Crater. The crater, located in the Gulf of Mexico beneath the Yucatán Peninsula, is believed to have been caused by the same asteroid that led to a mass extinction event 66 million years ago.

Dual-energy CT scanning of the core at Weatherford Labs began the week of June 13, 2016. CT scanning entails the use of medical-grade computerized tomography (CT) scanners adapted for specialized use — generally, for analyzing cores drilled as part of oil and gas exploration. Data from the scanners is presented as images and animations of the core slices are provided to enable rapid qualitative analysis.

SciPy 2014 Conference for Scientific and Analytic Computing with Python Poised for Record Attendance

 

Leading scientists, engineers and researchers from around the world to gather in Austin July 6 – July 12 to discuss data science and scientific computing

 

Enthought, as Institutional Sponsor, today announced a record pace for registrations and sponsorships for the SciPy 2014 Conference being held July 6-12, 2014 in Austin, Texas. Early bird registrations significantly outpaced last year’s record number and the number of participating sponsor organizations is up nearly 50% from the 2013 event, reflecting the growing importance of data science and scientific computing across a broad array of industries and academic research. This year’s registrants hail from over 25 countries and represent academia, government and industries such as aerospace, market research, finance, electronics, geoscience, healthcare and more.

“Since 2001, the SciPy Conference has been a highly anticipated annual event for the scientific and analytic computing community,” states Dr. Eric Jones, Enthought CEO and SciPy Conference co-founder. “Over the last 13 years we’ve witnessed Python emerge as the de facto open source programming language for science, engineering and analytics with widespread adoption in research and industry. The powerful tools and libraries the SciPy community has developed are used by millions of people to advance scientific inquest and innovation every day.”

Enthought Announces the Worldwide Launch of its Python for Excel Solution

 

PyXLL combined with Enthought Canopy provides a powerful, supported platform that makes it easy to write add-ins to Microsoft Excel in Python

 

Enthought, a leading provider of scientific and analytic software powered by Python, today announced its partnership with PyXLL Ltd. to become the exclusive worldwide distributor of PyXLL, a powerful tool used to create add-ins for Microsoft Excel in the Python programming language. This new partnership gives PyXLL customers the support of Enthought’s distinguished development team and offers Enthought Canopy customers an integrated solution for deploying to Excel. PyXLL is ideal for those who need to provide Python-based models, algorithms and analyses to end-users in Excel.

“I developed PyXLL to make it possible to write add-ins for Excel in Python,” said Tony Roberts, founder and developer of PyXLL. “Using simple decorators, Python code can be instantly exposed to Excel as worksheet functions, menu items or macros. Excel add-ins written using PyXLL are fast to develop, offer high performance and are easier to maintain and deploy than other methods of developing Excel add-ins.”

Enthought Canopy Now Supports Python Tools for Visual Studio

 

Canopy Python distribution and Python Tools for Visual Studio (PTVS) provide seamless development environment for scientific and analytic computing

 

Enthought is pleased to announce that Enthought Canopy version 1.2 provides streamlined integration between Python Tools for Visual Studio (PTVS) and Enthought Canopy. Organizations developing scientific and analytic computing applications now have a more complete, robust solution, with development tools in PTVS for programmers and analysis tools in Canopy for scientists, engineers and analysts. With the PTVS integration, it is now easier for software groups to develop and deploy Python/C/C++ applications built on Enthought Canopy.

“We’re delighted that Enthought integrated Canopy with PTVS,” states Shahrokh Mortazavi, partner product manager with Microsoft (MFST). “Canopy, paired with Visual Studio’s productive development environment with advanced Intellisense, integrated Python/C++ debugging, and profiling tools, makes for a powerful technical computing environment.”

Enthought Canopy helps FEI Revolutionize Transmission Electron Microscopy

 

Enthought’s Canopy Scientific Computing Platform and Application Consulting Expertise Accelerates Time to Market for FEI

 

Enthought is pleased to announce that FEI (Nasdaq:FEIC), a leading global supplier of scientific instruments for nanscale applications and solutions for industry and science, has launched its new Velox™ software product line developed jointly with Enthought and based on Enthought’s Canopy® scientific computing platform.  The Canopy platform provides FEI with a Python-based application infrastructure used to rapidly develop and deploy important capabilities to its customers.  Working closely with FEI’s customer experts and in-house software group, Enthought’s consulting team helped develop the data acquisition, real-time analysis, visualization and work-flow applications that deliver immediate value to FEI customers.

Enthought Canopy is a robust application platform that accelerated FEI’s Velox software development and deployment.  The Canopy application infrastructure includes a software plug-in framework, a development environment, update and deployment management tools, and open-source packages for science and analysis that have hundreds of person-years of development behind them.  By providing the application infrastructure, Canopy enabled the development team to concentrate its efforts on building cutting-edge analysis, visualization and work-flow capabilities for electron microscopy.  The popular, intuitive Python language allows FEI and its customers to quickly extend the Velox software through scripting and open platform application programming interfaces (APIs) to agilely meet specific end user needs.

Enthought Awarded $1M DOE SBIR Grant to Develop Python HPC Framework

 

Software will bring the strengths of Python and NumPy to high-performance computing (HPC) and improve the usability of Trilinos HPC solvers.

 

Enthought today announced that the company has been awarded a $1M Small Business Innovation and Research (SBIR) grant by the United States Department of Energy (DOE) to expand the capabilities of Python and NumPy for high-performance distributed computing.

The open-source Python HPC framework being developed under this Phase II SBIR will help address the growing need to easily access parallel computing resources by bringing the strengths and ease-of-use of the popular Python programming language and NumPy multidimensional arrays to high-performance and parallel computing.

The innovative framework will be comprised of three components, known as “packages” in open-source software parlance. The packages address current issues hindering software computing on HPC systems: accessibility and ease-of use for non-computer scientists to leverage existing codes and resources for developing solutions, distributed array computing, and coding for node-level speed-up of computations.

Enthought Introduces Enthought Canopy, a Python Analysis Environment for Scientific and Analytic Computing

 

Enthought Canopy provides a comprehensive analysis desktop and proven Python distribution for scientists, engineers and analysts

 

Enthought today announced the introduction of Enthought Canopy, a new Python-based analysis environment for scientists, engineers and analysts. Python, an open, intuitive language with extensive numeric, analytic and scientific libraries, is used pervasively in scientific and analytic computing. Canopy’s proven Python distribution and comprehensive analysis desktop simplify data collection, manipulation and analysis, and streamline algorithm prototyping and testing.

“Unlike proprietary analysis languages and tools, Canopy offers the analytical environment we need, built on open-source Python,“ states Marcos Lopez de Prado, head of quantitative trading at Hess Energy Trading Company, and a research fellow at Lawrence Berkeley National Laboratory. “Thanks to Python’s popularity among Research Institutes and National Laboratories, thousands of libraries are available for complex mathematical modeling. Using it, we are able to research investment opportunities in an efficient and flexible manner.”

Enthought and Python Help Award Winning European Renewable Energy Project Succeed

 

Rock solid IT infrastructure allows EnergizAIR renewable energy project to expand to more countries.

 

Enthought is pleased to have collaborated with the European non-profit Association for the Promotion of Renewable Energy (APERe) on the EnergizAIR project. The first phase of this project began in April 2010 and concluded in June of 2012. It is about to start phase two expanding into countries beyond the original five. This project has a virtually unshakable IT infrastructure, developed in conjunction by Enthought and EnergizAIR.

The basic principle of the project was to utilize renewable energy indicators (in this case, photovoltaic, solar thermal, and wind energy) in an every day weather forecast for several countries in Europe. These indicators were presented as a percent of total need. Simply, how can wind and sun meet our total energy requirements for countries? The indicators give the percentage of energy needs that were covered thanks to the weather, at household (for photovoltaic and solar thermal energy) or country scale (for wind energy).

Enthought Provides Python Distribution to edX Students for Online Programming Course

 

Students taking MITx’s “6.00x: Introduction to Computer Science and Programming” on edX download over 20,000 copies of the Enthought Python Distribution

 

Enthought, the Python-based technical computing solutions company, announced today that it has supplied over 20,000 downloads of its Enthought Python Distribution (EPD) Free to students taking MITx’s “6.00x: Introduction to Computer Science and Programming” on edX, the online learning initiative founded by Harvard University and the Massachusetts Institute of Technology (MIT).

The free introductory course provides students with a survey of basic computer science concepts and an introduction to the Python programming language. EPD Free gives students a robust and reliable tool for learning Python.

“Enthought’s generous offer of free Python downloads is enabling tens of thousands of students around the world who are taking edX 6.00x to improve their understanding of basic computer science concepts,” said Anant Agarwal, President of edX. “We’re grateful for Enthought’s support of edX’s mission to improve access to higher education for students worldwide.”