วีดีโอ

Pls provide the testbench code

How to save a whole equation 😢

Phone no plz

Cont ka option ni a rha

Thank uh bhaijaan❤

the code link expired can you provide with new link

Yeh kinti milega

Great 👍

Tqsm❤

Thanks bro kal mera exam h best of luck ❤

Bracket bunda lam thevaye illa nanba

Thank you so much bro

How to plot log log graph

Thank you ❤

Love you 🫰

code bro

Thanks ❤❤

❤

Please share the code.

Thanks

❤😊

Thanks sir ji

How to know if a calculator is original or a copy?

Bro placements?

My calculator's light is dim. Should I press light or dark and for how long cause I don't see any changes

Very useful

thank u so much bhaiya

Thankuuuuuu soooooo muchhhhhhh😍

Tumkur railway no plzz

Thank you 👍😊

Thank you 😊

Hostel is there?

Deplomo is there..!?

Thankyou so much 🙏

Can you give a code example for the stepper motor?

Huge amount spent on yatra to please HDD family should be probed

ED should raid his house

He is fraud and corrupt people should teach him a lesson

He should be suspended from the party

Tnq bro❤

Jai sri Ram

Thank you

Great 👏😊

ಬಾಸ್ ❤️✨️bjp

Presentation for this setup is really bad. When he says like this but nothing happens and the lines are just scribbles

Abe Hindi bola hota to cash mai tera video dekhta

This time suresh gowda

import numpy as np I=np . array ([[1 ,-3 , 3],[3 ,-5 , 3],[6 ,-6 , 4]]) print (" Given matrix : ", I ) w , v = np . linalg .eig ( I ) print (" Eigen values : ", w ) print (" Eigen vectors : ", v ) Given matrix: [[ 1 -3 3] [ 3 -5 3] [ 6 -6 4]] Eigen values: [ 4.+0.00000000e+00j -2.+1.10465

import numpy as np I=np . array ([[4 ,3 , 2],[1 ,4 , 1],[3 , 10 , 4]]) print (" Given matrix : ", I ) #x=np. linalg . eigvals (I) w , v = np . linalg .eig ( I ) print (" Eigen values : ", w ) print (" Eigen vectors : ", v ) ## To display one eigen value and correspondingeigen vector print (" Eigen value : ", w[0]) print (" Corresponding Eigen vector :", v[:,0]) Given matrix: [[ 4 3 2] [ 1 4 1] [ 3 10 4]] Eigen values: [8.98205672 2.12891771 0.88902557] Eigen vectors: [[-0.49247712 -0.82039552 -0.42973429] [-0.26523242 0.14250681 -0.14817858] [-0.82892584 0.55375355 0.89071407]] Eigen value: 8.982056720677654 Corresponding Eigen vector : [-0.49247712 -0.26523242 -0.82892584] 53

Nam Çlg❤️