TidyTuesday: A Brief Overview of Functional Programming with Purrr

[@hassanhijazi4757]

Incredibly useful. Thank you.

[@517127]

tuesday is the best day of week because you and Julia :)

[@ahmed007Jaber]

Thank you for this. amazing video and I learnt a lot. Hope you can create more content like this.

[@thewreka]

Sound is great! Thank you for fixing! :D

[@prod.kashkari3075]

I need to use this more.

[@KalmeshHiremath]

thank you.. as usual you are amazing :}

[@Nibblor37]

Amazing! Thank you :-)

[@larkinunirt]

What's your editor theme called? Looks nice!

[@AndrewCouch]

My settings in RStudio are: Rstudio Theme: Classic Zoom: 150% Editor Font Size: 10 Editor theme: Dracula I also have Rainbow parentheses enabled

[@larkinunirt]

@@AndrewCouch Awesome. Thanks for sharing!

[@nanwang9092]

BTW, How did you get rid of the shade of code chunk in R markdown?

[@AndrewCouch]

In options go to the advanced tab and deselect “Enable chunk background highlight”

[@nanwang9092]

@@AndrewCouch Yes! I really appreciate it!

[@vineetsansi]

Amazing session but have just one doubt with purrr package functional approach. Here you are storing all the split - train/test, cv folds for all the categories and if the categories are like 30,40 or 100's instead of 3 categories then we are keeping split data for each category in the memory all the time. I guess this can be useful for parallel processing but otherwise when we are running things sequentially with good size data then i think for loop can help in overwrite previous category data and then save just the results instead. I am new to programming and functional programming so I may be wrong due to my limited knowledge.

[@AndrewCouch]

I think for your example that makes sense especially when dealing with many nested datasets. One caveat to the cv folds is that rsample does some things in the background that reduces the memory overhead so it may not have that large of an impact. Thanks for watching!

[@vineetsansi]

@@AndrewCouch And I forgot to mention, thanks for fixing the sound !!

[@russelllavery2281]

Bigger fonts please