Learn NUMPY in 5 minutes - BEST Python Library!
HTML-код
- Опубликовано: 9 май 2024
- Learn Numpy in 5 minutes! A brief introduction to the great python library - Numpy. I cover Numpy Arrays and slicing amongst other topics.
3 Data Science Learning Platforms I would recommend
1. Data Quest - bit.ly/3hcLjbY (my favourite)
2 Data Camp - bit.ly/39erDk8
3 365 Data Science - bit.ly/3hbUHdd
2 Recommended Python Courses
1. Exploratory Data Analysis with Python and Pandas - bit.ly/2QXMpxJ
2. Complete Python Programmer Bootcamp - bit.ly/2OwUA09
(These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them)
►Subscribe to my RUclips Channel bit.ly/2LCdOy1
Free book for Statistical Learning (One of the best I have found)
Introduction to Statistical Learning www-bcf.usc.edu/~gareth/ISL/
Music by bensound.com
👌 Want to ace the Data Science Interview? Over 1000 Data Science Practice Questions with model solutions: bit.ly/30ul0nX
I want to learn first of all and then prepare for an interview.
Ty a lot fot tips!! I m beginner in Python and your videos are help me a lot! XD
interesting 5 min faster. to get learn
You should be awarded man for the efforts you make for teaching us numpy in a creative way
I wish you didn't use a url shortener for that. Hard to trust it.
may be we should appreciate him for his creative thinking to teach numpy in 5 min although took around 13 minutes
It's still better that 3h
@livestupid thinkbrilliant I listened in 2x 😁LOL.
Lol
we call 'em click bait but this is the first time I'm thankful xD
@Free Bird Blue Sky thank you
If you total the time spent on interruptions, introductions, and conclusions, you get 8:37 leaving exactly 5 minutes of useful information on Numpy.
np.sum(video[video > interruption]) == 5
@@Nonsanity 😄👌👍
tbh the interruptions kept from wandering my mind, it brought my attention back
@@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).
Sounds like lots of calculations 💀
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!"
Or he can play the vid on 2.25 playback speed.
nice one
I hate when it happens to me...
i like this scenario
@Mark Would you look at that, you learned numpy so fast that you even had time to comment this while plummeting to your death.
How many of you found it annoying when he interrupted?? although nice video
My first liked comment!😂 thanks whoever liked it
Yes, much better without.
This is the sort of thing that annoys me about face programmers. Just cut to the chase.
For me it was opposite actually. I laughed each time.
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.
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.
Exactly
no worries, i distract myself by watching other youtube videos for 10 minutes every 60 seconds
😂😂
Yeah, totally irritating. Gave it up and started looking for better quality
if you've watched 24 I can imagine Chloe sending it and Jack Bauer going like. "Damn it Chloe!"
Thanks Giles! What I could not learn in 2 years, thanks to you I learnt them in 5 minutes (13 actually). Amazing!
It'd be even faster if you didn't have to say, "Fahstah", every 20 seconds...
Hahahhaah
Lol so mean
You break my heart
Exactly lol
Yeah! It was like an annoying ad without an option to skip.
Really liked the use of photos. Made it more interesting a your typical numpy tutorial. Thanks!
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.
I have just started an intensive five-months Data Analyst re-training. Your approach has helped me to demystify Numpy. Great job!
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
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.
You're a life saver. Thank you
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.
I liked the funny interruptions, but maybe there was too many of them. Great video btw, love learning from you!
I agree, tooooooooooooo many of them
waaaaay too many
it gets annoying after the 4th one
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.
I´ve just started to learn programming with python. Working with numpy is my goal. Thank you for the awesome tutorial!
Thanks a ton! just started research in uni for data science and this really helped me grasp numpy better. You rock
great video for learning but kind of annoying how he keeps cutting away and saying numpy, numpy numpy
I like those
Maybe he has Tourettes?
I liked those quirky breaks. I find this guy very inspiring.
Yes very annoying
Very very very annoying. He promises at the beginning that it will take 5 minutes. Then he broke his promises.
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
That's 13 minutes of my life that I DON'T want back. Thanks. Brilliant idea using a photo image.
Thanks for this practical and concrete introduction to NumPy
I customized the playback speed and watched it in 5 minutes. Well done, great video!
The interruptions were annoying :)
Af
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.
Could have done it in 5 minutes without the interruptions...
...but also very 'meta'. Everyone clicks the 5 minute video but it takes 10 minutes to learn.
Well, it could be a great video but you got really annoying trying to be funny.
This is incredibly comprehensive and condensed. I might need to watch it in 20 minutes
Thank you very much, Sir, I came to know many things in just 5 min which is very helpful
感谢！最近正在接触numpy相关知识！
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!
Found the interruptions helpful because they got me focused, thanks for a great vid hope you make more like these
Thank you Sir.
Your videos really helpful for everyone who tried to understand Numpy Lib.
Now you learn how to vectorize and use broadcasting rules efficiently to avoid becoming traped in python loops.
Please do one of these on Pandas and Matplotlib!!
Great channel btw.
He has both of them.
I came after those 2. Great stuff!
Bruh... Pandas in 5 minutes will be like 40 minutes.... Too big library to cover bruh
The title is so engaging and plus the way you present it . Thanks! Looking forward for more such quick learning videos.
Brilliant video, really clearly explained! Thanks so much!
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.
Great!! Lovely style and good demonstration... Thank you for sharing this.
You made this look BOTH interesting AND funny. Thank you 😁👍
great video! looking forward to watching your other videos! keep up the good work!
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!!
Even though you took a bit time, your video tutorial was amazing one.
To learn sth, time is needed and to teach to someone exactly it also need much time.
It's fair enough. Thanks for your video, I will see your video again. Thank you
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
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!
You're such a likeable amusing man! I just love your style of tutorial. Succinct, meaty and funny! Keep it up! ;)
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.
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.
Usually i increase the speed of lectures from other people but this one is really great... quick direct and with practical examples.....
Fantastic summary of it all. Wouldn't have minded some datasets to work through it on screen at the same time.
Thank you! It was just the time that the video needed.
very nice explanation thanks for sharing all resources and links u are ultimate, excellent ,superb
love these videos. keep them coming!
Great video. Have to watch a couple of times. A lot packed into a short video.
you're the best. Continue your work...
BEST Pythonic Teacher EVER!
I love your 365 course..
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
Very well explained in less time. Nice Sir 👍
Thank you for the shift+enter!!! Man, i've been pressing run this whole time!!!
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.
I really enjoyed the video! Cool bro, you have different type of explaining the programming concepts!!!
I really enjoyed the interruptions. They got me smiling.
Why is everyone complaining about the interruptions. The guy was making the video lighter and enjoyable. Very concise tutorial indeed
Such nice video....and very great way to present concepts graphically using the .jpg approach !!
Thanks for the video. The image processing was really great, I suppose the photos is of York city which u recently visited.
It is!
Great video, having the distraction was good. Kept you on the ball... very clever way to help learn... cheers
Incredible video!
Very dynamic, with jokes and mean while explaining really useful tips to work with this incredible library.
THANK YOU!
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!
Same..but why is this happening
Great Video. Can u please make a fast paced continuation video to this video, including more useful functions and stuff for DataScience-NumPy
Great quick tutorial. Thanks a lot!
Thanks! Entertaining and informative :)
This was so much fun to watch; your style is a veritable joy to behold
Brilliant. Pure gold, thanks a lot
Thank you this really helped me with my cs assignment
Nobody had taught numpy like this. Great job
wooaw that bit of deal with image using matplotlib....loved that part!!
What directory does io.imread look in when you upload from file? Thanks for all your tutorials!
Great video. You managed to teach me numpy in 5 minutes, in 13 minutes!
Great Tutorial! Love it!
Thanks very much for the lesson!!👏🏽👏🏽👏🏽
It took me more than one hour on my clock but it was worth doing. Thanks!
Very informative and helpful. Don’t apologise for being more than 5 minutes. Thank you.
Thank you for quick review, it's nice
First time to be deceived and happy at the same time :D great tutorial man (Y)
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!
It Would be nice if you attatch a link to python file/notebook used in the lesson to further practice. Great video after all.
Excellent, you have given very good insight in NumPY lib
appreciate !
thank you very much...looking forward for the next numpy video...
It's like the short-attention-span theater version of short-attention-span theater. :) Thanks for the great, quick intro!
Annoying interruptions but use of photo as an array illustration was genius!
Without the interruptions, this 13 minute 5 minute video could and should've been a 12 minute 5 minute video.
GREAT, very useful thanks a lot, helped me so much in my training
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.
Omg! You are amazing, thanks a lot :) I learned 5 minutes what I couldn't understand in 2 hours at school
this is an amazing video, I just realized how similar numpy is to MATLAB
this video is perfect for me
Thankyou so much!!!
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.
I was wondering about this. Thanks doctor.
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).
what do you mean wrong shaped array?
@@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.
@@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
Fantastic video, thoroughly enjoyed your entertaining delivery; unlike many other channels that make computer science utterly boring. Great work, well appreciated :-)
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.
Thankyou somuch sir...i liked it very helpful and gained very fast looking forward for duch fasttrack videos for pandas and data visualization...it will be helping many of us...😊😊😊
by far the best video to this theme
Amazing class, tank you
very useful and fun to watch, subscribed!
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
The best teacher for Python. From my personal experience.