Association has become one of the most commonly used symbols for developers working with any kind of data since it was introduced in Version 10 of the Wolfram Language in 2014. While there are many built-in tools for working with an Association, developers also made many tools themselves as they modernized their code. Now many of those tools have found their way into the Wolfram Function Repository. Here I’ll highlight some of my favorites and show how they compare to built-in Wolfram Language functions.
Over a thousand new individual Wolfram Certifications were awarded in 2020 since the launch of new and updated online interactive courses and Daily Study Groups from Wolfram U. Students and professionals around the world have developed their skills and demonstrated proficiency in Wolfram technologies, as well as several topic-specific applications. We're excited to now offer expanded achievement opportunities for certification in more areas and more levels.
Explore the contents of this article with a free Wolfram System Modeler trial. System dynamics (SD) is a very powerful and flexible modeling paradigm, ideally suited to tackle strategic business, economics and public policy issues. Some years ago, Guido Wolf Reichert, management consultant and developer for BSL Management Support, Germany, stumbled into problems while modeling the public transport system in a German metropolis. He had reached the technical limits of the established SD software. While looking for alternatives, he discovered Wolfram System Modeler.
In the days of online learning and remote work, students are gaining valuable skills to help them navigate their education. With new needs for greater independence in their learning journeys, better time management and finding communities in unexpected places, students are already encountering important lessons. Student-centered events like the Wolfram Emerging Leaders Program help foster success in the workplace and in life, no matter what happens in the world.
Editor’s note: The following post is based on the 2020 Advent of Code challenge, “an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like.” Guest author Philip Maymin delves into why he chose to use the Wolfram Language to solve these queries with a how-to on learning the language.
The past year of learning ushered in a variety of new experiences for instructors and students alike, and the United States Military Academy at West Point was no exception. In addition to masks in the classroom, reduced class sizes to allow for social distancing, rigorous testing and tracing efforts, and precautionary remote video classes, we have also needed to adjust aspects of our teaching styles. While such adjustments were voluntary, to enhance the discussion I chose to teach several lessons outside under large white tents and even in stadium bleachers to safely enable larger conversations with my cadets. Sometimes this meant carrying a large whiteboard with a tripod out to the stadium. At other times it meant putting quiz-style questions on a website so that students could submit answers via forms that were easier to grade while allowing everyone to work at a safe distance on individual devices.
Today’s handheld devices are powerful enough to run neural networks locally without the need for a cloud server connection, which can be a great convenience when you’re on the go. Deploying and running a custom neural network on your phone or tablet is not straightforward, though, and the process depends on the operating system of the machine. In this post, I will focus on iOS devices and walk you through all the necessary steps to train a custom image classifier neural network model using the Wolfram Language, export it through ONNX (new in Version 12.2), convert it to Core ML (Apple’s machine learning framework for iOS apps) and finally deploy it to your iPhone or iPad.