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Ernesto Crespo
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Comma.ai open-sources the data it used for its first successful driverless trips

Hotz emphasized that what comma.ai wants to do by open-sourcing data sets like this one is to enable the hobbyist community to accomplish more without having to do fairly basic, but time-consuming and resource-intensive work of collecting basic driving data for use in training machine learning systems. He points to DeepDrive, a self-driving car system which uses neural nets to drive virtual cars in Grand Theft Auto V as a prime example of the kinds of people they’re looking to help. Helping hobbyists means building a talent pipeline, too: comma.ai can watch what people are doing with the data they open source, and bring in-house the brightest lights among that community. “The other reason that we release things like this open source is that we’re incredibly confident that we have figured out what we’re going to ship, and our path to winning the positive feedback loop that is self-driving cars is there. And let’s pull some people up behind us, too.”

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Just ask from any programmer or an automation tester, he’ll tell you how critical is exception handling for creating robust and stable applications. That’s why, after our last post on file handling, we put our thoughts to deliver a Python exception…

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PyExtJS ahora disponible en NodeJS
Agregada la libreria al repositorio de nodejs solo hay que instalarla via npm. $ npm install pyextjs posteriormente se llama y ejecuta normalmente > require('pyextjs');

> numpy.linspace(2.0,3.0,5);

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