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Parallel Kernels for separate Notebooks Perhaps you simply want to run two kernels in parallel. You can do this by: Open Evaluation > Kernel Configuration Options... and set up more than one kernel. Assign a different kernel to each of two Notebooks using Evaluation > Notebook's Kernel From there you can run your slow code in one Notebook and do your ...


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The FRED package written by @MikeHoneychurch is very well documented, and all that was necessary to make the FRED function work for weekly data was to delete the /. dateRules step from the end of the data processing.


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Edit I've included another method for creating the crystal structure which should be useful for pedagogical purposes, but assumes that MoS2 behaves ideally. Short Answer It can't be done with ChemicalData alone, (as of 2014) since there is important information missing. We are not given any information about the crystal structure, and therefore need to ...


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euro = FinancialData["USD/EUR"] 0.8139 DateListPlot[ TimeSeriesMap[#*euro &, CountryData["Mexico", {"GDPPerCapita", All}]], GridLines -> Automatic] Inspect the values with TimeSeriesMap[#*euro &, CountryData["Mexico", {"GDPPerCapita", All}]]["Values"] // QuantityMagnitude


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TabView[KnotData[#, "BraidWordNotation"] -> Labeled[Graphics[KnotData[#, "BraidDiagramData"]], Style[KnotData[#, "AlexanderBriggsNotation"], Large], {{Right, Bottom}}] & /@ Take[KnotData[All], {2, 6}], ControlPlacement -> Left, Alignment -> Center]


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I am not sure if this will completely answer your question. I would suggest plotting scatterplot of all available graphs, with conveniently chosen x and y axes, and tooltips. Like this: ListPlot[Tooltip[GraphData[#, {"VertexCount", "EdgeCount"}], GraphData[#, "StandardName"]] & /@ GraphData[]] ListPlot[Tooltip[GraphData[#, {"VertexCount", ...


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The standard way to retrieve the list of properties available for most of the curated data functions is to ask for the "Properties" property, e.g. CountryData["Properties"] (* {"AdultPopulation", "AgriculturalProducts", <<219>>, "WaterArea", "WaterwayLength"} *) or AstronomicalData["Properties"] (* ...


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What happens is that if a requested property p is not one of the standard "Properties", CountryData then computes EntityValue[Entity["Country", <standard name>], p] For example, the possible entity properties for a country are found by EntityProperties["Country"] (* {EntityProperty[Country, AdjustedNetNationalIncome], EntityProperty[Country, ...



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