Intro to Functional Programming with Purrr

In this week's #TidyTuesday video, I go over the main uses of the #Purrr package. I give a brief overview of map and its relationship to for loops. I then go over examples of using map and map2 with #TidyModels. Lastly, I show how to create progress bars for mapping functions and how to quickly use parallel processing with furrr.

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

[ahmedJaber]

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

[KalmeshHiremath]

thank you.. as usual you are amazing :}

[larkinunirt]

What's your editor theme called? Looks nice!

[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.

[nanwang]

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