Комментарии:
Great stuff, Corey. Very clear. Thanks
ОтветитьHi Corey, thank you for this lesson. It left me wondering though why on Earth even bother with .iloc?
ОтветитьThank you! Very clear and informative. Keep up the good work!
Ответитьthis pd.options.display.max_rows = 85 or pd.set_options('display.max_rows' , 89) don't work, the output is still 10. Any ideas?
Ответитьyou are a talented teacher Corey, keep it up! I will always support your channel in anyway possible. Thanks!
ОтветитьHow to access the dataset
ОтветитьYou're a great teacher
Ответитьoh my god I am gonna cry now... your video really helped me a lot !!!!!
ОтветитьThanks it was very informative. I loved that u started from dictionaries and built up to data frames. It was really easy to understand. However, it's a little lengthy, but I'm not going to hold that against you!!😄😄
ОтветитьI thought this tutorial was excellent.
Despite having prior Knowledge but the video is just so awesome.
Thanks for sharing the good work.
best video series. i started yesterday. And am planning to continue all the 11 videos. thanks a lot. this freee course means a lot to me. thanks..
Ответитьhow can I get the csv file?
ОтветитьIn jupyter notebook what is thie language we are using. Such as df=pd.read_csv() or df.loc[[0],'Hobbyist'].
Is this python?
And the python I learned from your python video , how is that useful or needed for this jupyter and panda learning?
Thank you my bro... U r simply the best.
ОтветитьThank you, Corey. Love you.
ОтветитьI can't believe I just watched this for free. Great job!
ОтветитьThanks for sharing, it helps me alot.
ОтветитьTop python video. Straight forward, no bullshit
Ответить2 down, 9 to go. Dated 5/24/2003
ОтветитьAmazing
ОтветитьFinaly I have some time to watch it
Ответитьbest panda tutorial!
ОтветитьCorrect me if I am wrong, when you said accessing column with dot notation, that "count" is a method on dataFrame.
To access the count column from the dataFrame, you do df.count but to call the method df.count().
thanks a lot sir Corey
ОтветитьThanks brdr.
Ответитьthis is SO cool
Ответитьis there url link to download the csv file ?
Ответитьwhy doesn't the max rows apply to the df just like it applies to the schema?
ОтветитьI was really stuck with the selecting rows and columns... but now I have a better understanding. Great video!
ОтветитьThis video series is awesome!
ОтветитьThis was very informative, thanks.
ОтветитьHow is he in two notebooks at once? Mine become "not Connected" when I try to open another
ОтветитьThank you for explaining python in easy words. Your lectures are very well scripted and provide very good information. Thanks for your hard work!
Ответитьperfect
watching your videos is the best experience I've ever had, brilliant. tnx to make python easy to learn
Best pandas lecturer
ОтветитьExcellent
ОтветитьJazakallah for your work!
Ответить2023
ОтветитьReally awesome video sir
ОтветитьThere is nobody like Corey when it comes to Python!!
ОтветитьThank you, Corey Schafer. your videos are so easy to understand and helping me to learn Pandas
ОтветитьGreat video! Thanks
ОтветитьThank you soo much for teaching. Really helpfull
ОтветитьAwesome Pandas Tutorial.
Ответитьyour course is fabulous. Thank you so much. subscribed for life!
ОтветитьYou literally made a series of videos covering my whole exam. So grateful to having these.
Ответить:) thank you for sharing
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