FEATURED STORY

Four short links: 17 October 2014

Four short links: 17 October 2014

2FA, Copy Image Text, Electric Garbage Trucks, and MSFT's Q

  1. Time to Enable Two-Factor Authentication on Everything (Gizmodo) — instructions for enabling 2fa on Google, Facebook, and other common consumer Internet services. (via BoingBoing)
  2. Project Napthaautomatically applies state-of-the-art computer vision algorithms on every image you see while browsing the web. The result is a seamless and intuitive experience, where you can highlight as well as copy and paste and even edit and translate the text formerly trapped within an image. Chrome extension. (via Anil Dash)
  3. Garbage Trucks and FedEx Vans (IEEE) — Foo alum, Ian Wright, found traction for his electric car biz by selling powertrains for garbage trucks and Fedex vans. Trucks have 20-30y lifetime, but powertrains are replaced several times; the trucks for fleets are custom; and “The average garbage truck in the U.S. spends $55,000 a year on fuel, and up to $30,000 a year on maintenance, mostly brake replacements.”
  4. Microsoft’s Quantum Mechanics (MIT TR) — the race for the “topological qubit”, involving newly-discovered fundamental particles and large technology companies racing to be the first to make something that works.
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Use data or be data

Trina Chiasson argues that data has arrived at the same threshold as coding: code or be coded; learn to use data or be data.

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Trina Chiasson

Arguments from all sides have surrounded the question of whether or not everyone should learn to code. Trina Chiasson, co-founder and CEO of Infoactive, says learning to code changed her life for the better. “These days I don’t spend a lot of time writing code,” she says, “but it’s incredibly helpful for me to be able to communicate with our engineers and communicate with other people in the industry.”

Though helpful for her personally, she admits that it takes quite a lot of time and commitment to learn to code to any level of proficiency, and that it might not be the best use of time for everyone. What should people commit time to learn? How to use data. Read more…

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What happens when fashion meets data: The O’Reilly Radar Podcast

Liza Kindred on the evolving role of data in fashion and the growing relationship between tech and fashion companies.

Editor’s note: you can subscribe to the O’Reilly Radar Podcast through iTunes, SoundCloud, or directly through our podcast’s RSS feed.

In this podcast episode, I talk with Liza Kindred, founder of Third Wave Fashion and author of the new free report “Fashioning Data: How fashion industry leaders innovate with data and what you can learn from what they know.” Kindred addresses the evolving role data and analytics are playing in the fashion industry, and the emerging connections between technology and fashion companies. “One of the things that fashion is doing better than maybe any other industry,” Kindred says, “is facilitating conversations with users.”

Gathering and analyzing user data creates opportunities for the fashion and tech industries alike. One example of this is the trend toward customization. Read more…

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The human side of Hadoop

Doug Cutting on applications of Hadoop, where "Hadoop" comes from, and the new partnership between Cloudera and O'Reilly.

Roger Magoulas, director of market research at O’Reilly and Strata co-chair, recently sat down with Doug Cutting, chief architect at Cloudera, to talk about the new partnership between Cloudera and O’Reilly, and the state of the Hadoop landscape.

Cutting shares interesting applications of Hadoop, several of which had touching human elements. For instance, he tells a story about visiting Children’s Healthcare of Atlanta and discovering the staff using Hadoop to reduce stress in babies. Read more…

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Celebrating Ada Lovelace Day

The O'Reilly community shares stories of inspiring women in tech. Who inspired you?

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October 14 is Ada Lovelace Day (ALD), an annual global event that recognizes not only the 19th century mathematician and aristocratic super nerd who wrote the first computer program, but other women in our community, too. ALD founder Suw Charman-Anderson’s goal is “to raise the profile of women in science, technology, engineering, and maths by encouraging people around the world to talk about the women whose work they admire.

Supporting diversity is important to us, so we’re participating in ALD this year. We’ve compiled some stories of women in tech from O’Reilly staff and members of our extended family — you can read about them below.

Read more…

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Resume Driven Development

Before you ask HR to find a developer skilled in a particular tool or language, think about who you really want in that seat.

Crossed_Wires_Howard_Lake_Flickr

I had a conversation recently with Martin Thompson (@mjpt777), a London-based developer who specializes in performance and low-latency systems. I learned about Martin through Kevlin Henney’s Tweets about his recent talk at Goto Aarhus.

We talked about a disturbing trend in software development: Resume Driven Development, or RDD. Resume Driven Development happens when your group needs to hire a developer. It’s very hard to tell a non-technical HR person that you need someone who can make good decisions about software architecture, someone who knows the difference between clean code and messy code, and someone who’s able to look at a code base and see what’s unnecessary and what can be simplified. We frequently can’t do that ourselves. So management says, “oh, we just added Redis to the application, so we’ll need a Redis developer.” That’s great — it’s easy to throw out resumes that don’t say Redis; it’s easy to look for certifications; and sooner or later, you have a Redis developer at a desk. Maybe even a good one.

And what does your Redis developer do? He does Redis, of course. So, you’re bound to have an application with a lot of Redis in it. Whenever he sees a problem that can be solved with Redis, that’s what he’ll do. It’s what you hired him for. You’re happy; he’s happy. Except your application is now being optimized to fit the resumes of the people you hired, not the requirements of your users. Read more…

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