According to a recent press release, “Qt today introduced Qt for Python to substantially simplify the creation of innovative and immersive user interfaces for Python applications. With Qt for Python, developers can quickly and easily visualize the massive amounts of data tied to their Python development projects, in addition to gaining access to Qt’s world-class […]
Revisiting the Data Science Suitcase
Click to learn more about author Steve Miller. Two years ago, I wrote a blog entitled “What Size is Your Suitcase?” in which I recounted a holiday shopping “dilemma” my wife and I experienced as we purchased mutual gift suitcases. The muddle revolved on which size bags to buy – large ones that could handle […]
Contemporary Data Scientists: Working Machine Learning at Scale
In a recent Magic Quadrant for Data Science and Machine Learning Platforms report, it was expressed that the Data Science and Machine Learning platform market will be in a state of flux over the next few years. Among the drivers of change will be providing Data Scientists with the ability to manage models and collaborate […]
Four Open Source Tools to Start Your Analytics Journey
Click to learn more about author Mark Hensley. As an adjunct instructor at University of Redlands, I teach several courses in the fields of business and technology. In that capacity I get to meet a lot of bright young people with a keen interest in data and Analytics. Unfortunately, the little financial resources most students […]
Looker Accelerates and Simplifies Data Science Workflows
A new press release reports, “Looker, a leading data platform company, today announced tools and integrations that optimize data science workflows. Looker accelerates the data science stack by removing the struggle to prepare data and freeing up time for data scientists to use their unique skill set to perform higher-value tasks. Looker already delivers reliable, […]
Data Science Collaboration: How to Centralize Data Science to Power Organizations
Domino Data Lab provides a Data Science platform that empowers organizations to drive their business through the use of predictive models. The platform accelerates breakthrough research and increases collaboration and productivity of data scientists. The company was founded in 2013 and is based in San Francisco. Organizations can use Domino Data Lab on-premises or in […]
Methodically Reproducible Data in 2018
Click to learn more about author Steve Miller. I generally establish a theme to my involvement early on when I attend Strata Data. Missing only last year, I’ve been witness to Strata’s large breadth of topics. The last few years have included deep dives into the then new Spark platform and iPython notebook (now Jupyter […]
RPI’s and R: Evaluating Performance of NCAA Athletic Conferences
Click to learn more about author Steve Miller. It’s Fall championship time for NCAA D1 college sports. On Sunday 12/3, college football announced its final four to commence New Year’s day, and other championship tournaments such as men’s and women’s soccer and women’s volleyball are currently in progress. A major challenge before the start of […]
Internet of Things Platforms and Projects: 3 Programming Languages Worth Knowing
Click to learn more about author Ashish Trikha. Love it or hate it, but the Internet of Things (IoT) is not going away anytime soon. In recent times, the Internet of Things has permeated our day to day lives to improve the way we live, the way we work, and the way we entertain. In […]
SAS, R, and Python for Analytics
Click to learn more about author Steve Miller. I did a short consulting gig last year with a company that was building an analytic app driven largely from a web-based data repository. The data were stored as a collection of SAS data sets which “customers” would subset by uploading SAS data step and proc SQL […]