numpy tutorial - introduction | numpy array vs python list

This tutorial covers an introduction to numpy python module. We'll see why numpy is very popular and talk about its main feature "n dimensional array". It is memory efficient, fast and convenient compared to python native list.

Topics that are covered in this Python Video:
0:00 what is numpy?
1:24 benefits of numpy array over python list
3:48 numpy using less memory (Memory presentation diagram of numpy and python array )
5:08 why numpy is fast and convenient

Next Video:

[codebasics]

Machine learning tutorials with exercises:

[_shubhambirhade]

Important interview question asked about numpy is which is fast among numpy or list? And why?
And this is well explained in this video.
Thanks for such amazing videos
👍👍👍

[mehdimemar]

I do'NT understand who would dislike this video?!? His videos are short and informative, with clear explanations and exact titles. what are you looking for??! GOOD LUCK TO @codebasics

[andreacazzaniga]

well done, brief and spotted to the point!

[AetosAnatole-tmxz]

Thank you... For the best introduction to

Hope u teach us more abt numpy in upcomng

[adilmajeed]

in your earlier 16 videos, you have mentioned about the list comprehensions and zip functions, why i am asking these questions because i am following what you had advised in your initial video and being me as a novice difficult to follow the instructions then

[luckybairagi]

Nice video... But how did you assigned list in integer??

[Actanonverba]

Good video, by the way, many people in Europe and NA say 'num-PIE' ☺

[ramanjaneyulu]

Hi, hello all, I have one csv file and one xlsx file..
My requirement is I want to read the data of particular row and column from csv file
And that data need to write in particular row and column to an xlsx suggestions would be appreciated

[Quest_adventure]

Hi, can anyone explain while trying to install via terminal the message shows like that- "Defaulting to user installation because normal site-packages is not writeable". Thanks

[michaelmolter]

Interesting, I got a different result. Numpy took 22.5 ms and straight Python (3.6) took 0.5 ms for n = 1000.

[surajmondal]

What is the reason of putting 5 in braces for sys.getsizeof() for list only?
For array why you did not use same thing?

[sonamchoudhary]

Hi. I will soontbstart data analyst tutorial on udecity. They want numpy as prerequisite. Will these 4 tutorial be sufficient to start the course ??

[triparnakar]

Question: when I do this sys.getsizeof([1]) in the python shell, it gives me 72, and when I do sys.getsizeof(np.array([1])) in the shell, it gives me 100.... so, by that logic, it seems the array object takes more space?? or am I missing something?

[tahaanwar]

great videos i suggestion its pronounced as "num + pie" = numpy although numpiY is catchy

[illeyunzaman]

code basics you created the range again and again in the code using range function and you call it list although list is created with [ ] and elements are separated by commas please explain this

[nischalshakya]

I think the size of one element of the NumPy array is not always 4 bytes. It depends on whether your machine is 32 bit or 64 bit.

[siddharthadebvines]

You are an Angel, Sir
Love your content

[UnixMan]

Great video and explanation!
One question -> I installed numpy under a 64bit architecture. I noticed that python list took less time than my numpy results. Is this just due the larger byte sizes I have in 64bit ?
Result below: Where I made SIZE =
python list took: 0.008821487426757812
numpy took: 2.1543502807617188

[satyenmehta]

why do i get print(sys.getsizeof(5)) - 28 ??