Numpy Tutorial in Hindi

[@CodeWithHarry]

Like karna mat bhoolna :) Pandas In one video is coming soon.. Subscribe and hit the bell icon to stay tuned!

[@safety1610]

QNA

[@rupakbarman885]

@@safety1610 Bro You are right.

[@Coding_Asmr_PraDev]

QnA

[@arpitagec9]

I can't say how much I am grateful to you after this video. Thanks a lot, bro! 😊 Please cover other important libraries like pandas,matplotlib,scikit-learn,scipy etc. After this I would request you to deep dive into statistics part pls, else the knowledge gained through data science would be incomplete. Looking forward to your upcoming videos 👍.☺️

[@anubhavgupta6331]

Bhai please make complete tutorial of matplotlib including seaborn please.....

[@eternalxyz123]

"hum ko sirf numpy hi nahi padhna hai , besically hum ko data science karna hai " ------love this line

[@kishansharma5617]

waah hero ho boss, itne easy way se samjha diya jisko main 3 din se padh k nahi samajh paya....society needs more heroes like you. Appreciate bhai the efforts you have given. Thanks a lot. :)

[@sunilmaurya6594]

cuz he does not touch complex things in any video

[@Yashodhar-z1k]

@@sunilmaurya6594 bhai to actual numpy bahut details mai hai kya?? please guide karo hum kaha se seeke???

[@payelpal8775]

44:56 Function: myar.argsort(axis = 1) Display: array ([[0, 1, 2], [0, 1, 2], [2, 1, 0]], dtype=int64) Functionality: it will display the indexes of the values from the original array and sort the values

[@rajadityasureshbhai1892]

44:54 We want an argsort of axis 1, so as we all know that axis one goes from left to right hence when the first whole column will be an axis of when axis 1 is concerned, hence if we try to sort it we will come to know that all the elements are already sorted, so it will yield and answer as [0,1,2].

[@sakshamkumar4036]

44:42 --> 'argsort()' may be used to find the index of all the elements of a sorted array of any dimension. for a 2d array, we have to specify the axis whose elements we want to sort

[@suryansh12]

no it's not necessary to specify axis for a 2d array when using argsoft()

[@nandankumar3496]

45:13 arg.sort() it works by default rows wise and if we give it axis =0 . then it work vertically every column and if we give axis = 0 then it work horizantally

[@anshdholakia714]

44:58, I feel that the argsort(axis=0) when applied to the 2D array, shows the indices sorted with respect to the vertical directions and the axis=1 shows induced sorted wrt the horizontal direction :)

[@NitinKumar-wm2dg]

sahi hai, vo harry bhaiya kabhi kabhi galti se bol dete hai shayad. Mai bhi output dekh kar hi samjha

[@sathvikreddy9106]

nahi vo sah =i bol rha hai, phir se check karo, axis =0 along the rows and across the columns

[@heirofsam]

There are 6 general mechanisms for creating arrays: -Conversion from other Python structures (i.e. lists and tuples) -Intrinsic NumPy array creation functions (e.g. arange, ones, zeros, etc.) -Replicating, joining, or mutating existing arrays -Reading arrays from disk, either from standard or custom formats -Creating arrays from raw bytes through the use of strings or buffers -Use of special library functions (e.g., random)

[@utkarshbharti7274]

there are only 5

[@gayathrikannikanti5185]

Based on latest info it is 6 @@utkarshbharti7274

[@ujjwal2473]

Wow, I can't believe I understood numpy so easily in 1 day. Your teaching style is so amazing, Harry sir. Hats off to you. Going to learn pandas next. Keep up the good work you're doing, you don't know how many students you actually help everyday.

[@hum4424]

dont forget to practice

[@lakshsinghania]

@@hum4424 from where to do ? do u have resources ?if yes pls do share it here

[@Shubbhu_yt]

Which designation you are going for ? Like I like AI and my bhaiya told me to do learn NumPy, Pandas, Matllotlib, Sci... Will you Plz tell me that in which order should I learn the above libraries???

[@nnnBigOne]

07:03 Numpy gives efficient storage and ready-made functions for data analysis. 14:06 Using Jupyter Notebook and Numpy 21:09 Learned about creating numpy arrays using python objects 28:12 Creating numpy arrays from Python structures and using intrinsic numpy array creation objects 35:15 Numpy array creation methods and reshaping 42:18 Understanding numpy arrays and axis 49:21 Using arg sort and axis to sort 2D arrays 56:18 NumPy arrays take less space compared to Python arrays.

[@RajNamdev_19]

Thanks, bro this is what I was looking for.

[@ankitmondal1236]

Is this video still worth it ? If I started now in 2024

[@Ashu-lw2vo]

@@ankitmondal1236 for data science its basic introduction not full

[@prajwalaughade1210]

saviour bro thanks

[@RaviPal-mo3nc]

44:58 in axis = 0 it tells us where the required elements are w.r.t vertical axis for them to be sorted in ascending order vertically In axis = 1 it is considered horizontally

[@bhattrahul301]

I was not knowing that its so easy to handle NumPy and pandas...Kudos to COde Master Mr.Harry.....I know that you but still I wanna tell, you are providing occupation to a family.....which is so kind....HATTSSS OFFF to this master....We all love you....😍 Do we have notes of pandas and numpy?

[@tanmayjindal2664]

good teacher

[@zahoorahmedsayyad]

44:30 As you have given (axis=1) as argument for argsort it will sort elements with respect to in horizontal axis.

[@irfanmohammad2132]

ar.argsort(axis=1) gives the given 2D array in ascending order for all rows. [ [1,2,3] , [4,5,6] , [0,1,7] ]

[@razzaq_husnain.725]

Harry Brother kesay shukriya kaho aap ko .... Auesome Understanding of Numpy in just one hour...... Hats off.... Love from Pakistan❤❤❤

[@techmatrix2103]

Please make a series on chatbot with AI and Deep learning

[@koushik1947]

Hmm

[@vulearning62]

Yes

[@MrRobot2801]

hmmmmm...plzzz

[@Arj_s9]

plz sir from first to last

[@NaveedAhmed-xt4xk]

code with harry can we do visiluation in numpy

[@mitalisingh7239]

Argsort arranges the indices of elements in increasing order of element value. Depending on the axis, it works like...for axis 0 it sorts every column individually and for axis 1 it sorts the rows individually.

[@manasohara]

For 44:50 , ar.argsort(axis=1) will give us the indices by which we can sort our numpy 2d array elements column-wise

[@MereRamMainTera]

Rowise

[@zuberkhan3050]

ar.argsort(axis = 1) array ([0,1,2] [0,1,2] [2,1,0]) 2 = 3 2 = 6 0 = 7 it represents ascending value in every row (horizontally)...

[@JyotiKumariJourney]

This Video is helpful for me and i am an Aspiring for data scientist i understand 75% percentage of this lecture and i also make notes of this your video are amazing Thank you bhaiya

[@gourav7921]

Hey I also want to learn data science , Can you pls tell me which is the best source to learn data science

[@JyotiKumariJourney]

@gourav7921 yeah sure

[@pradhyumjaiswal1169]

ar.argsort(axis=0) This will give us the index to sort the array column-wise, vertically.

[@hailashir]

44:42 -> what argsort() does is it returns the indices of the array's elements in the ascending order depending upon the axis that has been assigned to it.

[@ozge-yagizfan]

I am here now after 100 days of python course and now i move further to machine learning

[@tanmayjindal2664]

🍑🍑💦

[@kamranhossain9849]

Argsort(axis=0)..this provide the sorted position of the value of axis 0...like if axis 0 has some numbers like 4,2,7..then argsort will provide the following position 1,0,2..

[@bhaiyajimaharaj4813]

thank you harry bhai mene aapke python ke pure 123 video dheke and numpy bhi appne bahut achi and simple tareke se sikayeye hai. your way of teaching, so laveable :)

[@hsaaseries5976]

argsort(); Basically Sort the array according to indexes ... if you put (axis=0) then it will give you that indexes which are sort for top to bottom and if you put (axis=1) then it will give you that indexes which are sort for right to left respectively.

[@nirbhaysedha8541]

Argeort is working as if the index values are same in that position then your array will got sort and for axis=0 means it is sorting column wise😊

[@sanyasharrma]

@44:58 about ar.argsort(axis=0) we know that argsort method sorts the elements in a way that we can make out which element is lower or greater in the manner of 0 1 2 indexes, so when we execute it for every 0 axis we will be getting columns sorted out, so eventually the output will be ([[0, 2, 2], [1, 0, 0], [2, 1, 1]]

[@sarthakbanerjee7446]

array([[1, 2, 3], [4, 5, 6], [7, 1, 0]]) argsort(axis=0) shouldn't be like array([[0, 1, 1], [1, 2, 2], [2, 0, 0]]) because for the 2nd and 3 rd column the largest number are present at index 1 [2, 3], [5, 6], [ 1, 0]

[@codeblooded9878]

dear sir, this is only one video I proper clear numpy thanks sir for your videos and you are the best teacher on youtube.

[@akashaggarwal6397]

ar.argsort(axis=1) will return a matrix of same order with sorter indices on axis one. This will tell us the indices of min to max element of the row for example; [ [4,5,6], [8,22,1], [100,23,1] ] will result in [[0,1,2], [1,2,0], [2,1,0]]

[@NishantKumar-jq9nz]

Thankyou so much Harry Bhaiya, ye video mere liye kaffi helpful thi😍😍😍😍

[@rohanchaudhari6297]

ar.argsort(axis=1) # for axis =1 it will sort the array by the column ar.argsort(axis=0) # for axis = 0 it will give the index of the maximum element in each row

[@tanmayjindal2664]

treko boht pta h

[@rohitprasad1397]

Extremely good work. Cut to cut & point to point tutorial. We liked it. Please make some videos on Panada and Scipy. Keep it up :-)

[@CodeWithHarry]

Pandas is already uploaded and scipy is coming soon. Thanks for your love and support!

[@ruchiagarwal4943]

right

[@anubhavsahu5781]

​@@ruchiagarwal4943hi

[@arnabmondal81]

argsort simply arrange the element indices in ascending order. like argsort(axis =0) means it will simply arrange element indices in ascending order column wise. argsort(axis = 1) works as row wise.

[@RAHULZAVERI9]

ar.argsort(axis=1) - gives the element position to sort the array for column, horizontally in asc ar.argsort(axis=0) - gives the element position to sort the array for rows, vertically in asc I know its confusing since axis=0 is row and axis=1 is column

[@IamImranMalik]

argsort(axis=0) It tells the indexes of 2D array in sorted order for vertical matrices. But argsort(axis=1) tells the sorted indexes of arrays in horizontal matrices of an array.

[@ritikkohad5045]

Great video. For ppl who know how to install jupyter and basics of it can skip the video to 15:00

[@mohitthakur738]

Brother you're great. You're helping many who can't learn these concept easily. I watched your both videos on numpy and pandas, again thanks a ton. Harry 😊

[@arunkumar-ws1pk]

Me toooo bhai

[@ashushrivastav9918]

Such a great Explanation of Numpy, I have understood alots of things through this video. So thanks alot♥️.

[@TGajanan]

Hey, thank you, Harry, I am started following your videos from the last 3-4 months What a content you created for free of cost you deserve a big Applause 👏 👏

[@tanmayjindal2664]

💦💦💦

[@kavyaHPatwardhan]

Hi, your vedio's are leaner friendly, but if you could prounce numerical numbers in English,then its more convenient for Non-hindi students,great going!

[@SaritaSingh-rb4sq]

Argsort is used to arrange elements from ascending to descending order in 2D array and when axis = 0 , it is according to vertical direction and when axis = 1,it is according to horizontal direction.

[@factsyard1087]

Sir please Do QNA 🙏🙏🙏

[@rohanjaiswal64]

GREAT WORK

[@abhishekroka6721]

.argsort() function gives the order in which a given array must be arranged for ascending order, it returns the index number of elements present in an array.

[@sumitrawat6493]

bro jupiter ki jagah vs code use kar sakte hai

[@sheikirfan2652]

Such a great introduction tutorial on numpy. Got a clarity finally. Keep up the hardwork harry❤

[@bishalpoudel3586]

44: 56 argsort -> return the index of element that should be for having the items in ascending order. suppose argsort(axis=1) , now it will see the index of items in the axis 1 i.e row ( because axis 0 is column and axis 1 is column ) so that we will get the elements of row in ascending order

[@munishdudeja9253]

I learn Python, JavaScript, C# and am learning more from your channel.

[@monalisabanra2733]

ar.argsort(axis=1) it is showing the indices of the horizontal elements (row elements) according to which if we would have arranged the elements we would have got a sorted array.

[@piyushupadhyay8361]

at 45:30 in axis = 0 it gives matrix of indicies to sort the given matrix wrt to rows..... and vice versa for axis = 1

[@Userk2406]

14:35 numpy start here.. 32:10 numpy axis

[@anilsangani8862]

Kya baat hein , Your basics are so clear . I always will refer to your videos in future for Python

[@iampbhatta]

This is the best 56 minutes ever invested. Great vid awesome tutorial. 56:01

[@ashisdhir65]

For 48:48 in np.where(ar>5) (array ([1,2]), array([2,0]) As I understood you mean there are 2 tuples (1,2) and (2,0) which shows the index of items greater that 5. But I think this two tuples are not for 2 index of 2 elements rather it is index of X and Y axis of all the elements greater than 5. Pls correct me if I am wrong.

[@deepakgoyal1643]

you are right bro . i was very confused but your comment gave me relief . thanks a lot

[@rachnajha1233]

Easy to understand for IT Or Non- IT people's. 😊

[@anish5733]

The argsort(axis=0) works on columns if we look at the column no1 then the smallest is at index 0, the middlest as at index 1 and the largest is at index 2 so it become 0,1,2 and in column 2 : the smallest is at index 2, the middlest is at index 0 and the largest is at index 1 so it become 2,0,1..so like this we have to write the index of the smallest number to largest in a column (from smallest to largest )

[@gamingwithrksaver4868]

argsort is symply giving indexes of a sorted array. arr.argsort(axis=0) gives inces of sorted array for each row.

[@shaikusman536]

You are just Amazing Harry........Thanks aton for teaching Numpy in simplest way possible......Learned a lot on Numpy.......Thanks bro

[@AniketKumar-bm8gi]

Please make video on tensorflow, keras, matplotlib, pandas, scipy modules.

[@sumitrawat6493]

bro jupiter ki jagah vs code use kar sakte hai

[@AniketKumar-bm8gi]

@@sumitrawat6493 Haa bhai kar sakte hain 👍

[@amanshukla270]

What is the difference between methods and attributes?

[@neutron417]

Also SymPy

[@sinbad2597]

@@amanshukla270 methods are functions and attributes are variables (in classes ) . You can think like that

[@SatyamRocker]

Your teaching style is too good thus all beginner type stude prefer you ❤ Love from Satyam Rocker

[@dattatraypanke5866]

I have completed Numpy Tutorial Thanks Harry!!

[@gamingvortexyt1663]

argsort(axis=0) work as a sort method like if we use that position it may easy to compute or readable as well as easy understandable .

[@salimshakeel8961]

[axis=1] , Its give the index of horizontally row of matrix on which it will sort

[@vedantsgoodlife7302]

Wow, numpy in 50 mins! Will look forward for pandas video.

[@tooncartoon3427]

ar.argsort(axis=0) ....here axis=0 represents the row in a matrix ( array in matrix form) so....ar.argsort(axis=0) will show the INDEX having the max value in a particular row .

[@krishnabhadhouria]

you have cleared all my doubts regarding numpy. thankyou!

[@kaushalsahu7243]

wha bhaia maza aa gaya numpy sekh ke apke sath....

[@wisher18]

thank u so much harry bhai... it means a lot...

[@VS_Solanki]

Thank you गुरु जी❤

[@muhammadsameer9161]

its very helpful for me for my NumPy Quiz test thanks bro

[@samriddhabasu8764]

v=np.array([[1,2,3],[4,5,6],[7,8,9]]) implementing argsort(axis=0) here will provide us the answer [[0 0 0] [1 1 1] [2 2 2]] looking at the matrix from axis=0 we notice that among (1,4,7) && (2,5,8) && (7,8,9) the lowest elements belonged to each of their indexes, then for ist elements the indexes would be zero,then one, then 2. If the arrangement would have been reversed the sorting would also have been reversed i.e ([[7,8,9],[4,5,6],[1,2,3]]) [[2 2 2] [1 1 1] [0 0 0]]

[@pratikshadewangan9998]

Numpy in 50 mins Thanks Harry bhai Kl mera interview h i was struggling for that Ab mai revise kr skti hu

[@ARYANTIWARI-y5t]

argsort(axis=1) it return the index of element if we set the element according to given index then we get the sort array

[@pranitajadhav9741]

Your tutorials are just awesome it really helps us a lot

[@atharvaakshat9880]

Him 4 yrs back >>> new creators ❤‍🔥

[@TechQuiz26Xpert]

argsort(axis = 0) which find the lowest number in the array w.r.t rows and give the index then second lowest number and its index and so on... if we have three numbers ( 1, 4, 6) it finds index of 1 then index for 4 and then index for 6)

[@wifimathstricks4095]

Sir meri ek request hai , aap please of latex typing and colourful editing ke liye Software based video banao , highly recommend and currently required ......💖💯💯

[@karanrawat5037]

argsort() will give the indices in which we should place our numbers of array to make it in ascending order in respective axis.

[@prashantf43]

Thank you yar harry bhai aap bahut achchha padhate ho❤️

[@MrKB_SSJ2]

Thank you very much for this course!!!

[@nishanths5161]

Hi ..please one request from my side .. I don’t know Hindi …so please can you add English subtitles for each of your videos.. It will useful for us who are all not familiar in Hindi .

[@allrounder9620]

aapke sabhi vdeos full of content h.all video are liberary of knowledge.

[@mansoor.pasha01]

Thankyou, Harry Bhai Tkinter ✔️ Numpy ✔️ Dil maange more....

[@priyankagarg1629]

Thank u 😘 so much 💕 sir 🙏

[@namanmamodia5731]

Sir Thankyou very much your videos helps so much to learn python.Numpy library aache se understand ho gayi he.

[@HeartOfTech-cw5kz]

Thank you Harry Bhai 😊😊🤍🤍🤍🤍 You are the best for me.✨✨✨

[@msraji1]

thank u so much for teaching in a layman language

[@moko6917]

44:51 argsort orders numbers in ascending order for axis 1 which is rows

[@pujayantkumar9419]

ar.argsort(axis=1) is use to sort the elements row wise which is axis1 So, ar.argsort is sort the elements row wise 1st row then 2nd row and then 3rd row!

[@bhagchandgaydhane8299]

You can start from 14:56 timeline😉

[@sarthak_121]

Bhai mza aa gya, itna acha sa samaj aa gya, kal viva ha 😭🙏

[@saurabhagarwal686]

here axis =0 means move along the columns and now elements gets sorted according to indexes along columns and corresponding to maximum value in column 1 index will come firsst.

[@uzaireditz444]

Learned alot of basics from this short video

[@SATYAPATRA-g2q]

if we place element in that order then it would get sorted according to axis 1 i.e horizontal axis

[@RizwanAli-dv7md]

Harry Bhai thanks alot. Ur videos helped me alot, Dil se sukriya❤️

[@NaveedAhmed-xt4xk]

code with harry you are an amazing programer

[@Helly04]

#9th July 2023 Thank you Harry Bhai I have completed ❤🎉

[@sdansari7541]

Wonderful Explanation 🔥👏💖

[@behindthecareer]

Harry bhai dil se THANK YOU!!!