Pandas (the Python Data Analysis library) provides a powerful and comprehensive toolset for working with data. Fundamentally, Pandas provides a data structure, the DataFrame, that closely matches real world data, such as experimental results, SQL tables, and Excel spreadsheets, that no other mainstream Python package provides. In addition to that, it includes tools for reading and writing diverse files, data cleaning and reshaping, analysis and modeling, and visualization. Using Pandas effectively can give you super powers, regardless of whether you’re working in data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, or engineering. Continue reading
What: A guided walkthrough and live Q&A about Enthought’s new “Machine Learning Mastery Workshop” training course.
Who Should Watch: If predictive modeling and analytics would be valuable in your work, come to the webinar to find out what all the fuss is about and what there is to know. Whether you are looking to get started with machine learning, interested in refining your machine learning skills, or want to transfer your skills from another toolset to Python, come to the webinar to find out if Enthought’s highly interactive, expertly taught Machine Learning Mastery Workshop might be a good fit for accelerating your development! Continue reading
2017 will be Enthought’s 11th year at the SEG (Society of Exploration Geophysicists) Annual Meeting, and we couldn’t be more excited to be at the leading edge of the digital transformation in oil & gas being driven by the capabilities provided by machine learning and artificial intelligence.
Now in its 87th year, the Annual SEG (Society of Exploration Geophysicists) Meeting will be held in Houston, Texas on September 24-27, 2017 at the George R. Brown Convention Center. The SEG Annual Meeting will be the first large conference to take place in Houston since Hurricane Harvey and its devastating floods, and we’re so pleased to be a small part of getting Houston back “open for business.”
Pre-Event Kickoff: The Machine Learning Geophysics Hackathon
We had such a great experience at the EAGE Subsurface Hackathon in Paris in June that when we heard our friends at Agile Geoscience were planning a machine learning in geophysics hackathon for the US, we had to join! Brendon Hall, Enthought’s Energy Solutions Group Director will be there as a participant and coach and Enthought CEO Eric Jones will be on the judging panel.
Hart Energy’s E&P Magazine Features Canopy Geoscience
Canopy Geoscience, Enthought’s cross-domain AI platform for oil & gas, was featured in the September 2017 edition of E&P magazine. See the coverage in the online SEG Technology Showcase, in the September print edition, or in the online E&P Flipbook.
Learn About Our AI-Enabled Solutions for Oil & Gas
Presentations in Enthought Booth #318 (just to the left from the main entrance before the main aisle):
- Monday, Sept 25, 12-12:45 PM: Lessons Learned From the Front Line: Moving AI From Research to Application
- Tues, Sept 26, 1-1:45 PM: Canopy Geoscience: Building Innovative, AI-Enabled Geoscience Applications
- Wed, Sept 27, 12-12:45 PM: Applying Artificial Intelligence to CT, Photo, and Well Log Analysis with Virtual Core
New features in the Canopy Data Import Tool Version 1.1:
Support for Pandas v. 20, Excel / CSV export capabilities, and more
We’re pleased to announce a significant new feature release of the Canopy Data Import Tool, version 1.1. The Data Import Tool allows users to quickly and easily import CSVs and other structured text files into Pandas DataFrames through a graphical interface, manipulate the data, and create reusable Python scripts to speed future data wrangling. Here are some of the notable updates in version 1.1:
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 tool
AUSTIN, 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.”
Special topical themes for this year’s conference are “Artificial Intelligence and Machine Learning Applications” and the “Scientific Python (SciPy) Tool Stack.” Keynote speakers include:
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)
AUSTIN, 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.
“Python is ideally suited for scientists and engineers due to its simple, yet powerful syntax and the availability of an extensive array of open source tools contributed by a user community from industry and R&D,” said Dr. Tim Diller, Director, IIoT Solutions Group at Enthought. “The Python Integration Toolkit for LabVIEW unites the best elements of two major tools in the science and engineering world and we are honored to receive this award.”
What: A guided walkthrough and Q&A about Enthought’s technical training course “Python for Data Science and Machine Learning” with VP of Training Solutions, Dr. Michael Connell
Who Should Watch: individuals, team leaders, and learning & development coordinators who are looking to better understand the options to increase professional capabilities in Python for data science and machine learning applications
Enthought’s Python for Data Science training course is designed to accelerate the development of skill and confidence in using Python’s core data science tools — including the standard Python language, the fast array programming package NumPy, and the Pandas data analysis package, as well as tools for database access (DBAPI2, SQLAlchemy), machine learning (scikit-learn), and visual exploration (Matplotlib, Seaborn).