numpy tutorial - slicing/stacking arrays, indexing with boolean arrays

[@codebasics]

Do you want to learn python from me with a lot of interactive quizzes, and exercises? Here is my project-based python learning course: codebasics.io/courses/python-for-beginner-and-intermediate-learners

[@BrianMantel]

Well done. I really like the fast pace and you still didn't miss anything. This was exactly what I was looking for.

[@mukeshbarnwal2705]

graph?

[@ray811030]

It's awesome tutorial. Using graph to express what code do is pretty impressive. Appreciate your effort :)

[@kevinzhang8974]

Best tutorial I see so far.... thank you!

[@wasimlearner25]

awesome tutorial... being from a no technical background, i enjoy and understand your tutorials better than most online videos.. :)

[@Biocreator]

Using graph to express what code do is really pretty impressive.

[@Mehmet-xg5cn]

Clear and straightforward. Thank you

[@billwindsor4224]

Great tutorial on NumPy arrays, array addressing, and array computations - *thank you!*

[@tejas8211]

Very nice tutorials man. I learned and enjoyed this very much.

[@MakadamSGP]

Your tutorials are very helpful and very well explained, thank you very much, they are awesome !!!!

[@quantlfc]

Really appreciate your efforts!!! Amazing tutorial!

[@qzorn4440]

fantastic numpy tutorial. thanks.

[@kasyapdharanikota8570]

Thank you very much sir, cleared all my doubts

[@sam-j4zy]

good job codebasic

[@jamjam3448]

Thanks very much bro. You saved my time.

[@pathummudannayake6947]

Great stuff. Learnt a lot. 5 stars!

[@JMSchomburg]

Thank you so much! Slicing doesn't take into account the last 'stop at' row indicated, which isn't clearly stated in SciPy documentation (unless I missed it). Anyhow, your tutorial makes things much more intuitive. Merci!

[@codebasics]

Even with regular python lists that is true and they have mentioned it in python documentation. Not sure about scipy docs though. But anyways now you know it and will remember it 😊

[@JMSchomburg]

Did you know that I'm still new to Python (and Numpy)? Anyhow, thanks again for making it all clear: something tells me that I'll be returning to your channel again soon ; )@@codebasics

[@shubham4516]

@@codebasics could you please share the github link

[@Gauravsharma-et5kx]

numpy is super , thanks, hope u give python stuff in future too... ,ur way is too nice

[@nireshbehari8333]

This was a great skill to learn...thank you Bhavel:)

[@rgm2754]

Very good explained,. Just what I was looking for. Thanks

[@codebasics]

Glad it was helpful!

[@charmindesai3730]

A very heartily thanks to you for you awesome videos, thank you so very much !!!

[@HelionDark]

Good overview! thank you!

[@rionbeats9935]

Thanks, helped alot ... 😄

[@ashokkumar-lg8tt]

@ (8:59) how the hsplit works when we call for a np.hsplit(a,3) only by 3???

[@alberteinstein1040]

Totally helpful!

[@awais3791]

Thanks for awesome explain

[@lvbigtime88]

Amazing - cheers

[@apravatiseema6675]

Awesome sir

[@ruxinxie9739]

so clear, thank!

[@saifullahshahen]

Sir, I just start data science from your channel. I just have completed my python course from udemy. i have two question. please answer me: 1. should I learn more about NumPy or this is enough for a beginner?? 2. After completing this what should learn next??

[@iamsantosh]

Superb tutorial Man. Thumbs up to you.

[@stephaniesu8402]

Great tutorials!

[@adhavana8197]

Thanks for your effort, this was helpful

[@codebasics]

Adhavan, I am glad you liked it.

[@alokyarneni6154]

please, try to add videos related to scipy, matlplotlib,

[@danielevans5125]

Thank you for making this - very helpful.

[@codebasics]

My pleasure daniel

[@YashSharma-xh2eh]

great video dude, please do make more.

[@rohanrawat3950]

very helpful tutorial sir..much appreciated!

[@codebasics]

Glad to hear that Rohan

[@DaniloSouzaMoraes]

excelent series. Thanks!

[@pedrocristovao5157]

That's gold

[@ashish31416]

Thank you so much.

[@cattivo84]

Very helpful! thank you!

[@luisk6007]

Thank you very much!

[@chandansarkar1123]

First of all thanks a lot for the great tutorial. I wanted to ask a small question about the boolean array though. In the example you have written b = a > 4 where we are looking for all those elements which returns True for condition > 4. I was trying to create a simple example where I want to check whether the array element is prime or not with a simple function and return boolean. Is there is an easy way to do something like that...

[@NyiNyi-mj9yt]

thanks you 🙂

[@totpotator]

great video thank you !

[@sukanyak9975]

Nice

[@gaganutube2k8]

Awesome...

[@learnsanskrit2110]

v good tutorial. when u want ppl to focus on last rows of ur screen bring it in center. we have youtube bar and it is not very good user experience ;) - A lazy UX guy

[@codebasics]

Thanks for feedback learn Sanskrit. Your point makes sense and I will keep that in mind

[@InformativeVideos423]

Excellent teaching. Superb!!!! Please also do videos on Tensorflow machine learning. I want to save a trained Tensorflow model and then later use it in some another program. How can I do it.

[@anilgupta-dy1oj]

superrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr

[@kirankumar5818]

nice tutorial

[@sumesht.a8528]

Great teaching. Can you please add videos on matplotlib?

[@rishabhgarg9217]

thnks for the information

[@aniketverma3281]

Super!!

[@levendeurdemeches6600]

Thank you again

[@deepalibajpai4465]

Can you please explain .t transpose function and the use of defining axis (0) or 1 in hstack , vstack etc

[@abhijeetkumar3912]

Any tutorial for intermediate ??? please share playlist link.

[@sandeepbannu1234]

your videos are amazing...... completely!!!!!..... But I wish you had problems for us to practice

[@yashgaikwad3669]

dude, please make on numpy with images, pixels array and all that stuff

[@bhageerathbabuprathi1043]

Very Helpful.. Thank you

[@sougatamaity9619]

enjoying

[@inspirational_talkings2099]

Appreciate your efforts....Sir.....Are these 4 videos sufficient for numpy ???.......

[@inspirational_talkings2099]

Okk sir..... thank you very much sir..... appreciate your efforts....!!

[@ravikumarb8053]

could you suggest any project a beginner for better understanding of numpy, python?

[@vamsisaggurthi5528]

Good

[@iamsanketray]

is this series completed or are there more videos coming?

[@girishjahagirdar4379]

codebasics you should show how to add numbers to an empty bumpy array

[@fatinafiqah.y938]

Hi, your video is awesome and i understand every part of it but i got this code about the index thingy and I got the error 'index 4 is out of bounds for axis 1 with size 4' and i really dont know how to fix it. So, i really hope that you can teach on how to fix this cause i need to finish it for my assignment

[@fatinafiqah.y938]

codebasics tq for your rply..but when i see your video it say that we can do like that if im not mistaken haha but anyway tq

[@fatinafiqah.y938]

Hai could you pls check over my code..and is there any medium for me to give you the code so that you can check it..it is my pleasure if youre able to give me one medium of yours

[@horriabayan]

sir, why didn't you prefer doing it on pycharm

[@yashtrivedi6830]

Hello Sir, I want to grab an index of an array from its value. How can I do it? X1 = np.array([1,0,1]) X = np.array([[1,1,1],[1,1,0],[1,0,1],[1,0,0],[0,1,1],[0,1,0],[0,0,1],[0,0,0]]) I want to grab index of X when X1 == X Can I do it? How can I do it?

[@codebasics]

You can use np.where. Check this: thispointer.com/find-the-index-of-a-value-in-numpy-array/ I've not tried this on complex object like array within array but just try it and let me know if it works.

[@mounabarhoumi7584]

I divide a 3D image into small patches, these patches, I will process them (for example I will convert each patch into a vector,), my problem is that how can I extract these patches with their positions from the original image, I could only extract the patches and not with the positions (code in python), the code is attached def patch_extract_3D (input, patch_shape, xstep = 1, ystep = 1, zstep = 1): patches_3D = np.lib.stride_tricks.as_strided (input, (int ((input.shape [0] - patch_shape [0] + 1) / xstep), int ((input.shape [1] - patch_shape [1] + 1) / ystep), int ((input.shape [2] - patch_shape [2] + 1) / zstep), patch_shape [0], patch_shape [1], patch_shape [2]), (input.strides [0] * xstep, input.strides [1] * ystep, input.strides [2] * zstep, input.strides [0], input.strides [1], input.strides [2])) patches_3D = patches_3D.reshape (patches_3D.shape [0] * patches_3D.shape [1] * patches_3D.shape [2], patch_shape [0], patch_shape [1], patch_shape [2]) # = Adjoint3D return (patches_3D) input is an 3D matrix and thank you for your help :)

[@aasimbaig01]

is ravel and flat function same???

[@igniculus_]

flat returns a copy ravel returns original (if possible)

[@karankrishna8556]

how to insert a value into numpy array from keyboard

[@swatibothra1458]

nice videos... :)

[@EcExplorer]

AttributeError: 'numpy.ndarray' object has no attribute 'falt'

[@himanshushekhar26]

Don't know, why few people pressed unlike button.

[@snehashashidhar757]

Take a bow ... :) :)

[@Biocreator]

:)