August 9, 2018 — Swede White, Lead Communications Strategist, Public Relations

Code for America’s National Day of Civic Hacking is coming up on August 11, 2018, which presents a nice opportunity for individuals and teams of all skill levels to participate in the Safe Drinking Water Data Challenge—a program Wolfram is supporting through free access to Wolfram|One and by hosting relevant structured datasets in the Wolfram Data Repository.

According to the state of California, some 200,000 residents of the state have unsafe drinking water coming out of their taps. While the Safe Drinking Water Data Challenge focuses on California, data science solutions could have impacts and applications for providing greater access to potable water in other areas with similar problems.

The goal of this post is to show how Wolfram technologies make it easy to grab data and ask questions of it, so we’ll be taking a multiparadigm approach and allowing our analysis to be driven by those questions in an exploratory analysis, a way to quickly get familiar with the data.

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July 24, 2018 — Jon McLoone, Director, Technical Communication & Strategy


A couple of weeks ago I shared a package for controlling the Raspberry Pi version of Minecraft from Mathematica (either on the Pi or from another computer). You can control the Minecraft API from lots of languages, but the Wolfram Language is very well aligned to this task—both because the rich, literate, multiparadigm style of the language makes it great for learning coding, and because its high-level data and computation features let you get exciting results very quickly.

Today, I wanted to share four fun Minecraft project ideas that I had, together with simple code for achieving them. There are also some ideas for taking the projects further.

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July 5, 2018 — Jon McLoone, Director, Technical Communication & Strategy

The standard Raspbian software on the Raspberry Pi comes with a basic implementation of Minecraft and a full implementation of the Wolfram Language. Combining the two provides a fun playground for learning coding. If you are a gamer, you can use the richness of the Wolfram Language to programmatically generate all kinds of interesting structures in the game world, or to add new capabilities to the game. If you are a coder, then you can consider Minecraft just as a fun 3D rendering engine for the output of your code.


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June 26, 2018 — Brian Wood, Lead Technical Marketing Writer, Technical Communications and Strategy Group

In the past few decades, the process of redistricting has moved squarely into the computational realm, and with it the political practice of gerrymandering. But how can one solve the problem of equal representation mathematically? And what can be done to test the fairness of districts? In this post I’ll take a deeper dive with the Wolfram Language—using data exploration with Import and Association, built-in knowledge through the Entity framework and various GeoGraphics visualizations to better understand how redistricting works, where issues can arise and how to identify the effects of gerrymandering.

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April 12, 2018 — Stephen Wolfram

Wolfram Challenges

The more one does computational thinking, the better one gets at it. And today we’re launching the Wolfram Challenges site to give everyone a source of bite-sized computational thinking challenges based on the Wolfram Language. Use them to learn. Use them to stay sharp. Use them to prove how great you are.

The Challenges typically have the form: “Write a function to do X”. But because we’re using the Wolfram Language—with all its built-in computational intelligence—it’s easy to make the X be remarkably sophisticated.

The site has a range of levels of Challenges. Some are good for beginners, while others will require serious effort even for experienced programmers and computational thinkers. Typically each Challenge has at least some known solution that’s at most a few lines of Wolfram Language code. But what are those lines of code?

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January 26, 2018 — Christopher Carlson, Senior User Interface Developer, User Interfaces

Every summer, 200-some artists, mathematicians and technologists gather at the Bridges conference to celebrate connections between mathematics and the arts. It’s five exuberant days of sharing, exploring, puzzling, building, playing and discussing diverse artistic domains, from poetry to sculpture.

Bridges conference

The Wolfram Language is essential to many Bridges attendees’ work. It’s used to explore ideas, puzzle out technical details, design prototypes and produce output that controls production machines. It’s applied to sculpture, graphics, origami, painting, weaving, quilting—even baking.

In the many years I’ve attended the Bridges conferences, I’ve enjoyed hearing about these diverse applications of the Wolfram Language in the arts. Here is a selection of Bridges artists’ work.

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December 28, 2017 — Kevin Daily, Wolfram Technology Group, Team Lead

Flappy Bird and Spikey Bird

An earlier version of this post appeared on Wolfram Community, where the creation of a game interface earned the author a staff pick from the forum moderators. Be sure to head over to Wolfram Community and check out other innovative uses of the Wolfram Language!

If you like video games and you’re interested in designing them, you should know that the Wolfram Language is great at making dynamic interfaces. I’ve taken a simple game, reproduced it and modded it with ease. Yes, it’s true—interactive games are yet another avenue for creative people to use the versatile Wolfram Language to fulfill their electronic visions.

The game I’m using for this demonstration is Flappy Bird, a well-known mobile game with a simple yet captivating interactive element that has helped many people kill a lot of time. The goal of the game is to navigate a series of pipes, where each successful pass adds a point to your score. The challenge is that the character, the bird, is not so easy to control. Gravity is constantly pulling it down. You “flap” to boost yourself upward by repeatedly tapping the screen, but you must accurately time your flaps to navigate the narrow gaps between pipes.

So follow along and see what kind of graphical gaming mayhem is possible in just a few short lines of code!

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December 22, 2017 — Micah Lindley, Junior Research Programmer, Wolfram|Alpha Scientific Content

Plated meal restyled

In recent years there’s been a growing interest in the intersection of food and technology. However, many of the new technologies used in the kitchen are cooking tools and devices such as immersion circulators, silicone steam baskets and pressure ovens. Here at Wolfram, our approach has been a bit different, with a focus on providing tools that can query for, organize, visualize and compute data about food, cooking and nutrition.

Last Christmas I went home to Tucson, Arizona, to spend time with my family over the holidays. Because I studied the culinary arts and food science, I was quickly enlisted to cook Christmas dinner. There were going to be a lot of us at my parents’ house, so I was aware this would be no small task. But I curate food and nutrition data for Wolfram|Alpha, so I knew the Wolfram technology stack had some excellent resources for pulling off this big meal without a hitch.

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December 14, 2017 — Michael Gammon, Blog Administrator, Document and Media Systems

The Wolfram Community group dedicated to visual arts is abound with technically and aesthetically stunning contributions. Many of these posts come from prolific contributor Clayton Shonkwiler, who has racked up over 75 “staff pick” accolades. Recently I got the chance to interview him and learn more about the role of the Wolfram Language in his art and creative process. But first, I asked Wolfram Community’s staff lead, Vitaliy Kaurov, what makes Shonkwiler a standout among mathematical artists.

Stereo Vision Rise Up

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November 20, 2017 — Jon McLoone, Director, Technical Communication & Strategy

The classic board game Risk involves conquering the world by winning battles that are played out using dice. There are lots of places on the web where you can find out the odds of winning a battle given the number of armies that each player has. However, all the ones that I have seen do this by Monte Carlo simulation, and so are innately approximate. The Wolfram Language makes it so easy to work out the exact values that I couldn’t resist calculating them once and for all.

Risk battle odds flow chart

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