Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...
Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...
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These 5 Python libraries turned me into a better data analyst than Excel ever could
The power of Python trumps Excel workbooks.
California's almond farms consume 4.2 billion gallons of waters per day, according to Reason's Christian Britschgi. Data centers consume just 46 million gallons per day. Those numbers will certainly ...
David Pogue is a six-time Emmy winner for his stories on "CBS Sunday Morning," where he's been a correspondent since 2002. Pogue hosts the CBS News podcast "Unsung Science." He's also a New York Times ...
Shiny-Calorie is a Shiny/R web application for data and metadata integration, visualization and comprehensive statistical analysis of indirect calorimetry data sets. Shiny-Calorie ingests data sets ...
The US federal government’s central energy information agency is planning to implement a mandatory nationwide survey of data centers focused on their energy use, according to a letter seen by WIRED.
Real‑time data visualization has become a requirement, not a luxury. US engineering teams, financial desks, and defense analysts need dashboards that update at 60 frames per second while handling tens ...
Abstract: R is a proprietary programming language that has a large ecosystem of packages for data exploration and visualization, as well as strong community support. This article investigates a wide ...
Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...
Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...
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