We all benefit from this consolidated effort.Īnd because JavaScript is the language of the web, it runs everywhere. When we say JavaScript is fast, it isn’t by luck it’s because people made it fast. A tremendous amount of work goes into JavaScript by browser vendors, standards groups, researchers, and a vast population of global contributors. In part this is because JavaScript - the language, the web platform, and the open-source ecosystem - grows more capable every year. Yet in my view, the language differences are beside the point. It’s easy to argue why any of them might be better suited than JavaScript for data analysis. They have powerful features such as operator overloading and multidimensional arrays, robust open-source libraries for math and visualization, and active communities. I think of this when asked about JavaScript versus Python, R, or Julia for data analysis. If you want to take a picture, a camera in your hand is better than a camera left at home. On the demise of cameras in favor of camera-equipped mobile phones, Chase Jarvis once quipped, “The best camera is the one that’s with you.” In other words, portability and convenience outweigh technical differences in resolution, color, bokeh, etc. Image: Ricky Reusser’s The Double Pendulum Map.
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