Tutorial 8- Numpy Array Tutorial In Hindi

NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays. It is the fundamental package for scientific computing with Python
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[@dexxxxxxxx]

I was learning from your videos which you have uploaded 3 years ago but this playlist is more properly explained and arranged. Thank you Krish Bhai...

[@bhushan321]

16:29 To retrieve 1st and last column. arr[:,[0,-1]]. [:, to select all rows [0,-1] to select 0th and last column.

[@aarizmansuri9482]

AlhamduLillah sir aapjo padhate ho sidhe dimag or dill me fixed ho jatahai ❤

[@AdityaChanda-]

chal nikal

[@ArchanaShakya-zu4hd]

Numpy is a powerful library for array processing in Python, important for data analysis and exploration. 03:12 ✦ Convert a list into a NumPy array using np.array() function 06:24 ✦ Numpy arrays can be combined to form multi-dimensional arrays 09:36 ✦ Indexing in Numpy arrays allows for selecting specific elements or ranges of elements. 12:48 ✦ Explaining how to access specific rows and columns in a numpy array 16:00 ✦ Pick up specific values from a numpy array using row and column indices. 19:12 ✦ Creating and reshaping arrays in NumPy 22:24 ✦ Numpy array can be initialized with zeros, random numbers, or from a normal distribution. 25:36

[@mannatmannat9205]

Thank you 😊 sir 🙏 your teaching way is amazing

[@pankajverma4362]

Thanks for amazing videos 🎉

[@akhileshgangwar6668]

Best platform for learning 👏🏻

[@heyOrca2711]

Thank you Krish Sir for this wonderfull class

[@tuttejkumar6713]

very nicely explained sir,thanks.

[@garimagupta7277]

Thank you, sir for such an informative video, I'm learning from your videos. The answer would be arr1[:, ::4].

[@dynamicacceleration]

nice video sir ji

[@ayat5483]

thank you. so far the best video

[@shwetaverma7048]

more usefull lecture sir ji

[@rockfighter9974]

Thank you so much for this video

[@sibasishmishra2684]

Thank you for all the learning videos...

[@ajay2347]

thank you sir, for making tutorial in hindi The Ans: arr1[:,::3]

[@Krishna_sharma360]

bro last mei 4 aayega

[@GhulamRaza-u5k]

TO retrive first column and last colum arr1[0:] to retrive all the rows then arr1[0:,[0,4]] here [0,4]] 0 indicates that i am taking first column and 4 indicate that i am taking last column i can also retrive that by simply writing [0,-1] if i dont know the last column index number

[@bp2807]

Krish thank for all the good work. Kindly upload more SQL videos

[@tejaskamble8731]

Thanks sir ❤

[@snehyadav577]

Sir please make a hindi vedio for flask your all vedios are very helpful

[@k-concepts1574]

Very nice

[@soumenkhanra8982]

Retrieve first and last column data arr1[ : , [0, -1] ]

[@shyamjeetksharma]

Good code appreciation - please explain more

[@RolexRk111]

impressed

[@dilipinamdar5523]

very nicely explained !!

[@RayanKhan-q5t2m]

l1=[1,2,3,4,5] l2=[2,3,4,5,6] l3=[3,4,5,6,7] arr2=np.array([l1,l2,l3]) arr2 arr2[0:,0::4]

[@ResetRefocusRestart]

16:43 arr1([0:,0:5:4])

[@RohanGohil-gr7wo]

Krish Naik OP

[@rajshedge]

arr1[: , [0,4]] is answer for fetching first and last column

[@faizanahmed7752]

Bhai explain

[@pankajjoshi8292]

how to extract first and last row. thank u

[@rajshedge]

@@pankajjoshi8292 No problem 😊

[@syedabulfaiz-h5h]

Thanks

[@onkarsamel8495]

sir, please create a playlist of MLOPS also.

[@billu_bodmash]

so for rows counting starts from 0 but for column it starts for 1??

[@xtravengersgaming]

no, index wise both starts from 0

[@durgakumar6676]

16:30 assignment code: arr1[:,::4]

[@vikasmukherjee]

Dear Sir, Aap likhne (pencil) ke lie konsa software use kie?

[@gautammukherjee9252]

Please make video on other library

[@dineshch7094]

Hi sir...how can I activate this help popup at 3:34 which provides syntax and more information?

[@thatawkwardguy29]

Shift + Tab

[@newideabrightfuture2795]

Please upload SQL video sir

[@delhiwarriorgaming2882]

answer of question at 16:44 is : arr1[ 0 : , : : 4]

[@shivvu4461]

bro how? Everyone is saying this answer but I am getting error. can you provide me full code ?

[@rishikesh831]

what is the use of creating these arrays??

[@Vptheboss]

to fetch 1st and last column arr1[:,::4], output: array([[1, 5], [2, 6], [3, 7]])

[@vipingupta9540]

Make a video on functions..

[@utkarshchimote1040]

Sir , can you make data mining playlist in hindi

[@Coden69]

thanks

[@MDTARIF-pj7bc]

The Answer of the homework: **Method 1** my_arr_1[0:,[0,4]] **Method 2** my_arr_1[0:,[0,-1]]

[@ShahriyarHayatKhan]

Studying before exam! 😌😂

[@utkarshchimote1040]

Sir numpy ki playlist nhi hai kya

[@BinduMahapatra-sq6vh]

print(arr1[:,[0,-1]]) also will work

[@shashibhoi]

Answer for select first and last column is = df [["c1","c4"]]

[@animesh_6969]

Aree(array) sir ty

[@IamImranMalik]

arr1[:,::4] Assignment done

[@sushant.kk1]

Bro can you explain

[@Global.Nation]

Numpy sikhne bas ek video kafi hai sir?

[@harshbadhe4579]

16:30 arr1 [: , : : 4]

[@amolghongade19_07]

SQL video in Hindi

[@adityasingh017]

16:33, Here is my code to achive the first and last coloumn elements arr1[:,::arr1.shape[-1]-1] OR simply x[:,::4]

[@Dhanmeherabhay]

Arr1[:,::4] and Arr1[:,[0,4]]

[@khushbumangal9235]

Hi @Kirsh sir, answer for the assignment is arr1[:,::4]. Can you pleas confirm?

[@chitranchakraborty7900]

13:00

[@Immpraveen]

print(array[:, ::-4])

[@amolghongade19_07]

Hi sir

[@kartikking7]

print(arr[:,0::4])

[@Anmol.singh.10]

Answer: [ : , :: -4]

[@AyushTamang-vt6qj]

#Assignment arr1[:,::4]

[@aishascreation1689]

3d dimension batao kaise banaye

[@amolghongade19_07]

For data science

[@Any_shorts1683]

assignment Time -16:00 arr[:,0::3]

[@SHYAMKumar-wp5cu]

Assignment = arr1[:,: :4].

[@ayubarif7428]

arr1[0:,::4] answer

[@masterkumar1899]

Print(arr1[0:,::3])

[@Sigma-lr9jk]

no offence but gate smasher explained this topic better

[@sumitsarkar6747]

16.35 arr1[ : , : : 3]

[@Shashank_Masurkar]

ANS: arr1[:,::4]

[@yogeshmagarde4407]

array[:,::4]

[@Lovely_Pihu]

another way arr1[:,(0,4)]

[@AbhishekRajput-bc6ux]

arr1[0:3,::4]

[@0rajan1]

∞

[@LearnwithNaviOfficial]

arr [ :, 0:5:4]

[@BlackRock_07]

Itne data science ke gyani bante ho pr ye array me homogeneous values pe example de ke smjaya bhi nhi barbat 25 min ka video

[@sahilmukkawar4606]

Tumne kaha se kara bhai 👀

[@Shivay_1357]

Thanks