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But coming back to data. I recently watched a TEDx talk by Emmanuel Schanzer titled Four Ingredients for K-12 DataScience. In any case, it is clear that Bootstrap DataScience takes things I used to think about to a whole new level. More and more I see programming as a learning tool as well.
Introducing Tabular Manipulating Data in Tabular Getting Data into Tabular Cleaning Data for Tabular The Structure of Tabular Tabular Everywhere Algebra with Symbolic Arrays Language Tune-Ups Brightening Our Colors; Spiffing Up for 2025 LLM Streamlining & Streaming Streamlining Parallel Computation: Launch All the Machines!
So, for example, astronomy is an area we’ve significantly developed in Version 14 , and supporting astronomy has required adding several new “high-precision” time capabilities, such as the TimeSystem option, as well as new astronomy-oriented calendar systems. Another example concerns date arithmetic. In Version 3.0
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