Various Operations on Numpy Array - In Hindi

[@rnyadav6586]

Grand Salute bhaiya.. Aj mere halat thik nhi h, pr next kuchh month ya 1-2 year me... M sb kuchh bdl dunga....... Thank u so muchh for reality ki yad dilane ke liy....

[@codeitup]

Most welcome dear, be positive.. God bless you!

[@varunabhi]

for matrix multiplication we can also use "@"operator in place of "dot" operator :- import numpy as n a = n.arange(1, 10) a.reshape(3, 3) b = a.copy() c = a @ b c

[@codeitup]

Yes correct !

[@smoothLifehack]

Well explained sir Thanks a lot👌💕

[@codeitup]

Thanks & most welcome Aditya!

[@sumitverma7439]

Beautifully explained.

[@Janviverma48616]

You are great sir

[@codeitup]

Thanks Jittu!

[@vlogtypea3201]

Thankyou very much Just studied matrix chapter very relatable ....

[@codeitup]

Always welcome😊

[@debatradas1597]

thank you so much

[@codeitup]

Most welcome Debatra!

[@dhirajdarakhe3808]

thank u

[@codeitup]

Most welcome Dhiraj!

[@PKTECHIE26]

Thanks sir 🤗

[@PKTECHIE26]

Paid course bhi h kya aap ke pass please sir reply me

[@sauravkumar1564]

Great

[@codeitup]

Thanks @saurav kumar

[@MRAgundli]

done

[@manojsain8130]

can also used array_new=np.matmul(array1,array2)

[@shivanshsingh5555]

Sir can we make 2-D array with this arange function. I tried but got error. I first used arr=np.arange(1,13) then arr=arr.reshape(2,6) but got error

[@codeitup]

Try the following code: import numpy as np arr=np.arange(1,10) arr=arr.reshape(3,3) arr

[@kajaldangi8421]

Hey try this once arr1= np. arange(1, 13) arr2= arra1. reshape(2, 6)

[@anshsaxena5156]

Sir notes kb aa rahe h.sir jldi laa do paper start hone vale hm😭

[@codeitup]

I am trying my best to make it.

[@anshsaxena5156]

@@codeitup sir plz January me hi la do 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🏿

[@Helly04]

Its very irritating last me output k upr hi vdo suggestion aa ja ra, at least output to dekhne do😡😡😤😤