Learn NUMPY in 5 minutes - BEST Python Library!

[@gilesmcmullen]

👌 Want to ace the Data Science Interview? Over 1000 Data Science Practice Questions with model solutions: bit.ly/30ul0nX

[@francis2k488]

I want to learn first of all and then prepare for an interview.

[@otaviojc]

Ty a lot fot tips!! I m beginner in Python and your videos are help me a lot! XD

[@kumartrendzz1840]

interesting 5 min faster. to get learn

[@WG26Gaming]

You should be awarded man for the efforts you make for teaching us numpy in a creative way

[@versacebroccoli7238]

I wish you didn't use a url shortener for that. Hard to trust it.

[@doncherf2610]

If you total the time spent on interruptions, introductions, and conclusions, you get 8:37 leaving exactly 5 minutes of useful information on Numpy.

[@Nonsanity]

np.sum(video[video > interruption]) == 5

[@NandhaKumar-hw2bz]

@@Nonsanity 😄👌👍

[@misterentername8869]

tbh the interruptions kept from wandering my mind, it brought my attention back

[@Daijyobanai]

@@misterentername8869 when you hear the gong, bring your mind back to the breath. As you breath in and out, repeat your mantra, focus on the b[re]ath (little Yorkminster joke there for the kids).

[@tharushapiyumal]

Sounds like lots of calculations 💀

[@rohitborra2507]

may be we should appreciate him for his creative thinking to teach numpy in 5 min although took around 13 minutes

[@iman2020]

It's still better that 3h

[@rohitborra2507]

@livestupid thinkbrilliant I listened in 2x 😁LOL.

[@oldlorenz9567]

Lol

[@monfreign]

we call 'em click bait but this is the first time I'm thankful xD

[@faisalalnasri7762]

@Free Bird Blue Sky thank you

[@MrNicePotato]

Imagine if someone is falling from a failed plane without a parachute and have just 5 minutes of time to learn about how to use numpy to find out the optimal landing posture to maximize likelihood of survival, and he found this video teaching numpy in 5 minutes, when he found out the tutorial is actually longer than 5 minutes midway into the video, he would be like "damn it!"

[@khalidaldossary556]

Or he can play the vid on 2.25 playback speed.

[@tirthyme]

nice one

[@oldrichbezvera6721]

I hate when it happens to me...

[@ericmartin2242]

i like this scenario

[@aybaws]

@Mark Would you look at that, you learned numpy so fast that you even had time to comment this while plummeting to your death.

[@deepakmecheri4668]

Why is everyone complaining about the interruptions. The guy was making the video lighter and enjoyable. Very concise tutorial indeed

[@calmniverse9941]

How many of you found it annoying when he interrupted?? although nice video

[@calmniverse9941]

My first liked comment!😂 thanks whoever liked it

[@altimmons]

Yes, much better without.

[@morgengabe1]

This is the sort of thing that annoys me about face programmers. Just cut to the chase.

[@Sina.g.z]

For me it was opposite actually. I laughed each time.

[@asanyal296]

I love his creative approach and humor. He is a superb video producer. Most programmer types are immensely boring. I have become a fan of this guy.

[@chicobecker]

I customized the playback speed and watched it in 5 minutes. Well done, great video!

[@windar2390]

if you use these interruptions, you should use it more strategically. for example between 2 topics, so the viewer can build up a new focus. but because of your random interruptions, i was distracted because i expected every second a new interruption.

[@juanalejandrogarcia8957]

Exactly

[@CSSuccessGamer]

no worries, i distract myself by watching other youtube videos for 10 minutes every 60 seconds

[@TurboFi321]

😂😂

[@Free_Russian]

Yeah, totally irritating. Gave it up and started looking for better quality

[@johnmandrake8829]

if you've watched 24 I can imagine Chloe sending it and Jack Bauer going like. "Damn it Chloe!"

[@alvarosalgado3121]

The interruptions were annoying :)

[@deez2928]

Af

[@dorusie5]

He really underestimates the attention span of his audience. "Go quicker" [interrupts every 30 seconds, and repeats how to find the type of the number 10 times]. All that aside, it's a good introduction to what you can do with numpy.

[@JamesMcCorrie]

Could have done it in 5 minutes without the interruptions...

[@michaelnurse9089]

...but also very 'meta'. Everyone clicks the 5 minute video but it takes 10 minutes to learn.

[@HenriqueCSJ]

Well, it could be a great video but you got really annoying trying to be funny.

[@jnorris8649]

It'd be even faster if you didn't have to say, "Fahstah", every 20 seconds...

[@yutaitadori7318]

Hahahhaah

[@kianoosh.]

Lol so mean

[@federicoferraro7080]

You break my heart

[@アメリカンドクター]

Exactly lol

[@azramansari4292]

Yeah! It was like an annoying ad without an option to skip.

[@ShalabhBhatnagar-vn4he]

Thanks Giles! What I could not learn in 2 years, thanks to you I learnt them in 5 minutes (13 actually). Amazing!

[@ahmadyoussef1754]

i don't care if it is not 5 min, this is freakn amazing, i love it, it is fun and educational with more interaction that keeps you engaged, just amazing

[@seeking_the_sun]

This was so much fun to watch; your style is a veritable joy to behold

[@BigOleHeals]

great video for learning but kind of annoying how he keeps cutting away and saying numpy, numpy numpy

[@dagdet]

I like those

[@andyn6053]

Maybe he has Tourettes?

[@asanyal296]

I liked those quirky breaks. I find this guy very inspiring.

[@shubhamraut3637]

Yes very annoying

Very very very annoying. He promises at the beginning that it will take 5 minutes. Then he broke his promises.

[@savager9936]

I liked the funny interruptions, but maybe there was too many of them. Great video btw, love learning from you!

[@MRosic-ms7xg]

I agree, tooooooooooooo many of them

[@Hellios92]

waaaaay too many

[@muhannedalsaif153]

it gets annoying after the 4th one

[@fractal_123]

There is a mistake in the video about the two-dimensional array. When creating a two-dimensional array, you typed: b_list = [[9,8,7,6,5,4,3], [1,2,3,4,5,6,7]] z = np.array([b_list]) However, there should be no "[ ]" in the second line, while it should be z = np.array(b_list) With your code, z is a three-dimensional numpy array instead of a two-dimensional one.

[@bryannjau423]

You're a life saver. Thank you

[@hankblack783]

Really liked the use of photos. Made it more interesting a your typical numpy tutorial. Thanks!

[@dsask5475]

you took 11 mins to teach me what i wanted to see. I was having the exact same reactions you were displaying in the video. thanks!

[@tumi3640]

hahahahaha! I do this to my nephew whenever he doesn't want to eat, " one more spoon, one more spoon" makes a whole bowl , great job

[@mikebrown7366]

That's 13 minutes of my life that I DON'T want back. Thanks. Brilliant idea using a photo image.

[@samelaaraujo]

Love the cutting and the fact you lied. I only realized after the first 4 minutes, but I was hooked. Good job, and thank you.

[@bamidelesolomon7945]

you get the concept

[@retrofutur1st]

Found the interruptions helpful because they got me focused, thanks for a great vid hope you make more like these

[@guilhermeassiste]

Please do one of these on Pandas and Matplotlib!! Great channel btw.

[@obinator9065]

He has both of them.

[@digigoliath]

I came after those 2. Great stuff!

[@neillunavat]

Bruh... Pandas in 5 minutes will be like 40 minutes.... Too big library to cover bruh

[@shakesrear7850]

Nice

[@tako_tech_tips]

This is incredibly comprehensive and condensed. I might need to watch it in 20 minutes

[@drnesr]

There is an error in the video. In minute 3:22 If you want to convert a list to numpy array by name, just add the name between the curved brackets not the square brackets E.g. a_list=[3, 6, 9, 0, 13] Example a_array = np.array(a_list) NOT np.array([a_list] ) as you did! The problem is that what you did will make a wrong shaped array that will be cause errors when you try to reference or slice. Thanks for the rest of your video.

[@michaelnurse9089]

I was wondering about this. Thanks doctor.

[@hugoporras14]

It depends of what you want to do, you are right, but he is not wrong, i ve used arrays that way (for example with cv2).

[@StellaKatsarou]

what do you mean wrong shaped array?

[@drnesr]

@@StellaKatsarou If you have the array np.array([3, 6, 9, 0, 13]) its shape will be 5*1; i.e. a vector, while the array np.array([[3, 6, 9, 0, 13]]) (Notice the double square bracket) has a shape of 1*5; i.e an array of 1 row and 5 columns. Wrong shaped means you want 1*5 you got 5*1, which are totally different in the array terms.

[@doraimuthineni7588]

@@drnesr The shape of np.array([3,6,9,0,13]) is (5,) = (1,5) but not a good representation. The shape of array np.array([[3, 6, 9, 0, 13]]) is (1,5) which gives the same result as before, but this is a better representation and a Standard* way. Hope I helped

[@maxim_mahadeva]

guys it's actually nearly 5 minutes, just watch at speed x2 it's the speed at which he actually spoke, he just slowed it down for us. ;D

[@didiermartin9120]

I have just started an intensive five-months Data Analyst re-training. Your approach has helped me to demystify Numpy. Great job!

[@user-ni1bu6mt6e]

It's 2.38 am and today is my exam. This 13 minute vdo(better than other 1hr vdos) helped me!

[@yomolandia]

actually those interruptions were quite helpful for me. they kept me from losing attention and falling half asleep

[@jamieboucher5774]

Hey. Unfortunately I've been having trouble when converging a_array and b_array whether it's + * or @. It's claimed there is a type error? Please help me with this. Thank you. Kind regards. Jamie

[@deepamgupta8011]

At 2:44, np.empty(3) doesn't creates an empty array. Rather it creates an array with random values. By the way, your teaching style is really fantastic. Kudos!

[@Senykidewji]

Same..but why is this happening

[@leonardopereiraamaral886]

Another engineering student grateful for watching your video, thank you. Your content has arrived here in Brazil

[@TheBigJinglz]

I´ve just started to learn programming with python. Working with numpy is my goal. Thank you for the awesome tutorial!

[@lloydmcleod629]

I remember watching this over a year ago. The interruptions were irritating. But Now, I can appreciate the making of this video while I seek to understand NumPy.

[@Yeezybreezzy]

I have a feeling your channel is about to explode. Every time I get recommended awesome under-the-radar channels, they seem to gain subscribers really fast (given the content keeps coming). Recommender systems... the more you know. Probably user-user similarity.

[@imriss8140]

Usually i increase the speed of lectures from other people but this one is really great... quick direct and with practical examples.....

[@sidstam]

Thank you. Python newbie here. Great video. Very useful to give the example with the picture as an example of numpy's operations on an array.

[@stefanjagger]

Great video easy to follow. I found the flip back to you and early on to the keyboard and pad distracting. Your teaching is good enough to make me watch it all after a few mins of trying to get me to keep watching. Thanks for sharing.

[@cupofkoa]

Its like real life - "this should take a few days to learn" ... two weeks later...

[@gilesmcmullen]

lol!

[@digigoliath]

Most likely but great to start with a good idea what to expect. Inspiration for the learning, you know.

[@yoyoyoyo7813]

Why the 1300 dislikes, i find it very very helpful

[@SteveCamilleri]

Annoying interruptions but use of photo as an array illustration was genius!

[@ybenjira]

Without the interruptions, this 13 minute 5 minute video could and should've been a 12 minute 5 minute video.

[@digigoliath]

Yes, it is longer than 5 mins. Yes, there may be 1 too many 'breaks' for a break & a possible cause for annoyance. However, this is a great intro to "Getting Started" & it gets straight into the business of explaining the topic without trying to squeeze just enough examples to fit 5 mins. I would rather get the good stuff. It was 13 mins well spent. If it is not too much to ask, a Git repository would be great for a Newbie to dive right in. BTW, I arrived here after Pandas and Matplotlib.

[@sanchezjean38]

Very nice quality video! This is a great refresher of how NumPy could be used and how it behaves in certain situations. Thanks so much! Your work is appreciated.

[@felipeamayaq]

Good introduction to Numpy. I would like it better if you didn’t stop the explanation to say “faster” in between it.

[@LauriLaitinen]

You made this look BOTH interesting AND funny. Thank you 😁👍

[@0568raju]

Nobody had taught numpy like this. Great job

[@des_antilles]

i found the constant cutting across to make disclaimers about the video length very distracting

[@JoseCarballosa]

Do you have a version of this video without those annoying interruptions?

[@mok0s1]

Now you learn how to vectorize and use broadcasting rules efficiently to avoid becoming traped in python loops.

[@eristonmansambu8225]

Thank you very much, brother! This video was very informative to me. Now I feel more confident to talk about Numpy. I think I've really been numpied out haha

[@jasonstapley6822]

Great video. Have to watch a couple of times. A lot packed into a short video.

[@beautylife310]

Good demo, appreciate the effort, would prefer demo without interruption of jokes though. Thanks for sharing!

[@Rj_fender]

The title is so engaging and plus the way you present it . Thanks! Looking forward for more such quick learning videos.

[@MohammedAli-xv6es]

Thank you for the shift+enter!!! Man, i've been pressing run this whole time!!!

[@maryannsalva3462]

You're such a likeable amusing man! I just love your style of tutorial. Succinct, meaty and funny! Keep it up! ;)

[@NostraDavid2]

Nowadays we can use vscode, create a new .py file and add "# %%" to the file to create a new code cell. Then shift-enter to run that cell. Vscode does the installation.

[@argmax11]

I did not mind the interruptions at all. I thought they were funny. Thanks for the quick tutorial !

[@kaviyashanmugavel3213]

Boss you kill my procrastination And lit up my eyes for py libraries Surely i will be your subscriber from now I owe you very much for this vdo.

[@antoniogabrielchaconmenke83]

I liked the interruptions :P Great Video!

[@tsume184tg]

Literally Learned the Numpy Packages in 10 minutes. I was learning on DataCamp and was seriously getting confused, thanks!

[@JokerFromTDK]

Video Ruined by Interruptions. Next time while showing something worth learning make sure its continuous without Interruptions.

[@andyn6053]

Yes and do it slower. Else one dont remember anything

[@sarthak1314]

Take a chill pill. Let the guy have some fun!

[@HonestConsulting]

I agree.

[@wideningcarrot6]

I enjoyed it, it added a more human approach to it.

[@wengeance8962]

imagine being this entitled.

[@hosseinaminikhah2075]

He reminds me about my childhood and the teaching system. So smart dude❤

[@realmrjangoon]

Video Title: "Learn 'Numpy' in 5 minutes" Video Length: "13:37" Is it just me?

[@shinaken]

How can I trust a mans video if he doesn't even know that 5 < 13 ?

[@copernicofelinis]

It's the YT equivalent of 'just the tip'

[@YlmazDALKIRANscallion]

Same. That's why I disliked the video.

[@codeforest9027]

even if you watch it in 2x it's not 5 minutes

[@sindhujas7807]

Just appreciate the work if you've gained from the video.

[@sindhujas7807]

I beg to differ from those who said that the interruptions were annoying. He does a great work with his videos and the least that he interacts with us is by saying "NumPy! NumPy! NumPy!" and I really like that. Period.

[@shakesrear7850]

I think at least some were being sarcastic. Brit humour. 😅

[@saifal-naimat2804]

If he just cut the scenes where he tried to convene us that it will take more time but worth it, it would be close to 5 mins !!

[@briancase6180]

It's like the short-attention-span theater version of short-attention-span theater. :) Thanks for the great, quick intro!

[@greatvedas]

I liked the interventions, its hilarious and kept the discussion friendly. Good stuff.

[@keepinfotechsimple]

11:13 We need more Python videos! By you! This is awesome!

[@diegogomes5837]

you're the best. Continue your work...

[@asanyal296]

I loved the interruptions - unlike a lot of the commenters here. Your videos are fun to watch - never boring. The geeks who don't like it can go back to reading arid programming books. Don't change a thing

[@Lordkhaors]

Thanks for this practical and concrete introduction to NumPy

[@setha9818]

Fantastic summary of it all. Wouldn't have minded some datasets to work through it on screen at the same time.

[@samuelbignardi8318]

Nice quick introduction!! Just what I needed to refresh my numpy after a while i did not use it!! That's what I wanted, more numpy!!! In contrast with other comments, I found the flash-interventions kind of funny and fully in line with the title and nature of this tutorial. They add the the author's personal touch and provide rhythm to this super-fast lesson!!

[@dafuqyobrotwelve]

I wanna just say that I liked this video BECAUSE of the interruptions ahah when you disclose it won't be five minutes I laughed a lot

[@shubhan_official]

Thank you very much, Sir, I came to know many things in just 5 min which is very helpful

[@michaelroditis1952]

I was actually happy for not being only 5 mins because you can't learn a library so quick and i thought it would be one of those videos that only say to you things like "Numpy is great... you should learn it, I hope you found this video help full click the like button". Nice content man thanks, very helpful for a guy that is to bored to read the documentation!

[@atenciop123y]

Great video. I agree with the comments on the interruptions. I look forward to seeing your other videos.

[@Hassibayub]

BEST Pythonic Teacher EVER! I love your 365 course..

[@satyajitdas2780]

Thanks for the video. The image processing was really great, I suppose the photos is of York city which u recently visited.

[@gilesmcmullen]

It is!

[@conorcurley6589]

great video! looking forward to watching your other videos! keep up the good work!

[@canale_mio_bonaa]

Next time don't interrupt, just let it flow.

[@patrickl5290]

Thanks a ton! just started research in uni for data science and this really helped me grasp numpy better. You rock

[@melanienamukuru7799]

interruptions are funny!!! I like this guy;s sense of humour

[@velanimaphumulo3733]

It Would be nice if you attatch a link to python file/notebook used in the lesson to further practice. Great video after all.

[@praneethkonduri8239]

Your videos are great. I watched only two so far but I would continue watching. Keep posting. Do it your way, people shouldn't (imo) focus on the interruptions as the content is very informative and concise in your videos. Thanks!

[@instaminox]

The interruptions were great :). I loved it, when we were fully immersed in and you said it is not going to take five minutes hahah good one!

[@dp0813]

It was

[@berkehankura8803]

I found interruptions quite amazing and they helped me focus. Good video for a starter like me but wish he told how an advanced or a beginner tutorial this is.

[@adamwood7174]

Fantastic video, thoroughly enjoyed your entertaining delivery; unlike many other channels that make computer science utterly boring. Great work, well appreciated :-)

[@Zeyn-cj2hy]

Omg! You are amazing, thanks a lot :) I learned 5 minutes what I couldn't understand in 2 hours at school

[@rafaelgpontes]

I'm so impatient these days that I fast-forwarded an "in a nutshell" video. Yeah... Maybe that's what a shitload of internet does to your brain. '-'

[@TwelfthRoot2]

Rafael Pontes yup. I usually watch videos at 2x

[@oarimen]

Thank you! It was just the time that the video needed.

[@alissondamasceno2010]

Calm down dude, no need to rush! The interruptions were a bit annoying, we can speed up the video if we want ;-)

[@francis2k488]

The best teacher for Python. From my personal experience.

[@cawag98]

"It's not gonna be 5 minutes. It's gonna be longer" :-)

[@thomassheldon2365]

Brilliant video, really clearly explained! Thanks so much!

[@Dozer456123]

Learn NUMPY in 13 minutes (With annoying interruptions!) - Best Python Library fixed the title for ya

[@Black_Hawk007]

Sir, thank you. I like the way you teach. May god make you very rich.

[@lotalota22]

Hi, I'm 33yrs old. Now started to learn python specially the data science. Is it too late for me or its ok for me? Or can you please give some suggestions for me as an elder person is it useful for me to learn coding or choose the data science for my future. Thank you.

[@Miheer.Dodhia]

Never too old to start. Would recommend you start with Downloading Anaconda and learning to use the Pandas library. Find a CSV of data such as the titanic dataset (found on kaggle) and try and answer as many questions as possible like how many 1st and 2nd class passengers are there, what was their average age ect...

[@tarunsura3042]

33yrs is not old it's just that you are mentally feeling that you are old :D keep learning.

[@virunew]

For that matter I am 10 years older, and have started now :), so just get on with it

[@dnsh777]

I have taken a vocational course in Data Science and Machine Learning last year. 30 of the 100 people in my class were well above the age of 40. There were some who were 60 years old as well! It's all about the state of mind I guess. All the best to you! @lotalota22

[@lotalota22]

@@dnsh777 thanks for your support

[@diegogomes5837]

Keep it the way you are. It's a interesting way to teach... you're very creative... Thanks for the video