Dear doc. Nielsen,
I have been watching the Time Series Analysis lecture on youtube, which is fantastic by the way, and I am very interested in the notebook 0 on the 10 min introduction to pandas. I cannot find it on the web... Could you please post it in this repository?
Thank you very much!
Best regards,
Sergio

https://github.com/DataCanvasIO/HyperTS

Easy-to-use, powerful, unified full pipeline automated time series toolkit. Supports forecasting, classification and regression.

Hello Aileen,

I'm enjoying working my way through your book on the O'Reilly learning platform. I've noticed several typos in the copy of the book and at least one incorrect code reference. As a 3x author, I know how frustrating those are when they make it through to the final edition, despite many rounds of review. I also know you're probably working through final copy edit with. your professional editor. If it would be helpful to have feedback on those typos, I'll be happy to share them with you. If you've already found those edits, it's all good.

I was following the video and tried to generate date_range in European format but the argument dayfirst = True does not work.

import pandas as pd

rng1 = pd.date_range('1/7/2016', periods = 10)
rng2 = pd.date_range('1/7/2016, periods = 10, dayfirst = True)

Both rng1 and rng2 are equal.