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Yay, more data science video on Julia!
Short and very clear :)Really it's useful for my learning material..
I guess, the notebook is not available? could not find it in the GitHub link provided.
Thanks for the tutorial. Kinda disappointed you didn't show the markdown code that uses the Slider binding :(
DataFrames fixed everything that made Pandas so annoying (I still love it though)
HiSo if I get it right, rename! - does not copy data other one creates a copy of dataAm I getting it right?
yes, the pattern here is that an exclamation mark at the end of a function is a signal that (usually) the first argument will be modified in place, which in turn implies that !-functions don't return the modified collection
@@alekseihaidukevich3697 Thanks a lot :)
concise and well explained
Seems like an oversight if there’s really no way to read in a 2-digit year
Yay, more data science video on Julia!
Short and very clear :)
Really it's useful for my learning material..
I guess, the notebook is not available? could not find it in the GitHub link provided.
Thanks for the tutorial. Kinda disappointed you didn't show the markdown code that uses the Slider binding :(
DataFrames fixed everything that made Pandas so annoying (I still love it though)
Hi
So if I get it right,
rename! - does not copy data
other one creates a copy of data
Am I getting it right?
yes, the pattern here is that an exclamation mark at the end of a function is a signal that (usually) the first argument will be modified in place, which in turn implies that !-functions don't return the modified collection
@@alekseihaidukevich3697 Thanks a lot :)
concise and well explained
Seems like an oversight if there’s really no way to read in a 2-digit year