The two leading cutting-edge interactive user-facing Data Science environments are either renderings of Jupyter Notebooks, or are Browser-based systems. Today'll we'll pay a visit to the best of both after overviewing the underlying architecture. Particular attention will be placed on data governance, which determines what one's code can do for someone else's data.
Please share your explorations during today's session:
Please share your explorations during today's session:
are coming ...
for example https://jheer.github.io/barnes-hut
Fun Facts:
One kilogram of apple produces at least 0.4 g = 400mg methanol (https://www.ncbi.nlm.nih.gov/pubmed/9267548)
Diet Pepsi: 118mg aspartame per serving (http://static.diabetesselfmanagement.com/pdfs/DSM0310_012.pdf)
aspartame breaks down into residual components, including aspartic acid, phenylalanine, methanol in ratio of 4:5:1 by mass
> 118mg * 1/(5+4+1) = 11.8mg methanol per diet pepsi
> 11.8mg methanol * (1kg apples / 400mg methanol) = 28.5g apples-equivalent
Thus, the amount of methanol (and subsequently formaldehyde) expected to be produced by 1 diet pepsi is roughly equivalent to that produced by 28.5 of apples, less than half of a typical apple.