open source

Over the last two decades, open source has been expanding into all aspects of technology-from software to hardware; from small, disruptive startups to large, boring enterprises; from open standards to open patents. As movements evolve, they reach tipping points-stages that move the model in new directions. Following are three things that I believe are now reaching a tipping point in open source. As the name suggests, the open source model has mainly been focused on the source code. On the surface, that's probably because open source communities are usually made up of developers working on the source code, and the tools used in open source projects, such as source control systems, issue trackers, mailing list names, chat channel names, etc., all assume that developers are the center of the universe.

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When I go back home and talk to people in the tech industry, or any other industry for that matter, about what I do and the topics I'm involved in daily, I'm usually met with bemusement at the idea of an Open Source Programs Office (OSPO). The concept of a company contributing to an open source project without obvious immediate financial benefit can be culturally strange to understand or explain. As someone born and raised in a country that has been trying to develop for quite some time, I understand and relate to that. There was a point in time when my only understanding of open source was that it was software that I could use without paying and without needing to wait for a specific issue or additional feature to be released. I could just do whatever I needed myself, locally. Open source faces many struggles in developing countries that make how it's perceived and its associations inaccurate and out of touch. I will discuss these struggles in this article.

For many students in mathematics, physical sciences, engineering, economics, and other fields with a heavy numeric component, MATLAB is their first introduction to programming or scientific computing in general. It can be a good tool for learning, although in my experience many of the things that students and researchers alike use MATLAB for are not particularly demanding calculations that easily could be conducted with any number of basic scripting tools, with or without statistical or math-oriented packages. However, it does have a near ubiquity in many academic settings, bringing with it a large community of users familiar with the the language, plugins, and capabilities in general...

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