@@joeyc666 Good for her, but very bad for us, the audience. Also, public speaking skills are something you can work on and learn, it is not like being born without arms and legs.
thanks, for some reason I found quite difficult to focus on what she was trying to say. Good luck to her though, I hope she'll get more comfortable with public speaking
At 19:42 she mentions that apply is needed here, but thats false. You can use numpy.select for multiple conditions in combination with Series.between, see second part of this answer stackoverflow.com/a/19913845/9081267
Great content covered
Very nice content, only the speaker seems to be a little nervous
I definitely admire people who push through and do a talk despite their nerves!
@@joeyc666 Good for her, but very bad for us, the audience. Also, public speaking skills are something you can work on and learn, it is not like being born without arms and legs.
The code on the "Indexing"-slide at 14:54 is invalid. It should read:
df[(df["score"] >= 90) & (df["date"] >= "04/18")]
Summary at : 31:51
thanks, for some reason I found quite difficult to focus on what she was trying to say. Good luck to her though, I hope she'll get more comfortable with public speaking
At 19:42 she mentions that apply is needed here, but thats false. You can use numpy.select for multiple conditions in combination with Series.between, see second part of this answer stackoverflow.com/a/19913845/9081267
I guess she is absolutely right. Apply only needed when there is no pandas in built function for the desired operation. That's what she meant!