Tutorial 4 – Numpy and Inbuilt Functions Tutorial
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Hello All,
Welcome to the Python Crash Course. In this video we will see about numpy library
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arr[1: , 2:4] arr[1:2, 1:4 ]
Honestly glad to have come across your channel and it brings in humungous value to the folks trying to learn. You are truly the best. You make commendable efforts and as a part of the learning community, I hold enormous respect for your contribution in helping us. (y)
Hi all , is it easy to go directly to libraries than of inbuilt DS and functions concept , someone ans
For array([[4, 5],
[6, 8]])
arr[1:,2:4]
For array([[3, 4, 5]])
arr[1:2,1:4]
while creating a dimensional array, why does the shape indicates (5,0) and why not (1,5)?
for indexing…
arr[1:,2:4]
arr[1:2,1:4]
The voice quality is not good in this video sir !
This is the first video of your channel that i got recommended and man i loved it . Thanks for sharing.
arr[1:,2:4] =
array([[4, 5],
[6, 8]])
arr[1:2,1:4] = array([[3, 4, 5]])
Sir Thank you so much your playlist is very used full and it was very fast unsersting.
completed oct6
wow Sir. Love all your videos. Thank you !!
Arr[1: 2:4]
Arr[1:2,1:4]
Very nice explanation .Thanks
array of 45 68 —– arr[1:,2:4]
array of 345 —– arr[1,1:4]
Just 3 videos into and you made it really interesting ❤️❤️🙏🙏🙏
mylisy=[1,2,3,4,5]
arr=np.array(mylisy)
arr=np.array(mylisy)
–>o/p:-(5,) means 5 columns 0 rows[first column ,second rows]
where as
myarray1=[1,2,3,4]
myarray2=[5,6,7,8]
myarray3=[9,8,7,6]
arr2=np.array([myarray1,myarray2,myarray3])
arr2.shape
–>o/p:-(3, 4) here first rows (3) and then 4 (column)
why both time o/p not same ? it should be (row, column )or (column , row )
Hello Krish, I am obliged to take time and express my gratitude towards your efforts and teaching method. I am watching your tutorials since yesterday, and I just so happy to learn and actually understand everything. I am looking forward to follow the playlist, and excited to learn. Thanks man, you deserve our respect and the money as well, I will be joining your membership.
I will request all the people who are reading my comment to consider joining the membership to help him grow❣
I understand this chapter of numpy in 3 days there are lot to learn in 26 minutes.
His explanation is clear and everything is practical.
arr(1:,2:4)
arr(1:2,1:4)
Thanks a lot Sir ,
Hi Sir…
actually i've 1 doubt what if i wanna replace the elements in the array from 1specific position to another and remaining all the elements to be as it's for eg:
arr=[1,2,3,4,5,6,7,8]
here i wanna replace with 10 from 2nd position to 5th position
arr = [1,2,10,10,10,10,7,8]
only the specific elements need to get replaced
please me help me out in this!!!!!!!!!!!!!
Hello, How can We select 1st and 3rd row and 2nd and 4th column. Is it possible using numpy?
the Quiz :
1) arr[1:,2:4]
2) arr[1:2,1:4]
I started watching this playlist today after knowing the learning path from your yesterday's video. thanks a lot
Inspirational story about importance of
Being a balanced controller
https://youtu.be/4BiKhka7APc
Thanks Krish for these videos👏.I am a beginner in python and from bio science background.I am using pycharm for coding and found differences in syntaxes in pycharm than jupiter notebook.Why it is like that?kindly reply.
Hey could u explain the diff between :
ar[[1,2]] [[3,4]] & ar[[1,2],[1,3]]