Big O Notation - Full Course

[@ad0n1s-273]

Wow! Been learning your beginner programming course but stopped because I can't follow on the big o notation part and been searching to learn more about it. You posted about it when I exactly needed it, thank you so much ! You guys are such a lifesaver!

[@guramritpalsingh6778]

Dutch! You better to have a Plan.

[@konstantinrebrov675]

Simply amazing visualizations! A great teacher is able to break down complex topics, and visualize them intuitively, summarizing without removing any of the details, indeed making the details easier to understand.

[@Battleevents]

Allah! La ilaha illa Huwa (none has the right to be worshipped but He), the Ever Living, the One Who sustains and protects all that exists. Neither slumber, nor sleep overtake Him. To Him belongs whatever is in the heavens and whatever is on earth. Who is he that can intercede with Him except with His Permission? He knows what happens to them (His creatures) in this world, and what will happen to them in the Hereafter. And they will never compass anything of His Knowledge except that which He wills. His Kursi extends over the heavens and the earth, and He feels no fatigue in guarding and preserving them. And He is the Most High, the Most Great. [This Verse 2:255 is called Ayatul-Kursi.] [Surah al-Baqarah 2: 255]

[@aishwaryasingh7753]

Thank you for clearing the Big O notation concept in this video. I searched everywhere to learn that concept but didn't find any. So, when I came to know about this video, I'm extremely proud of myself for choosing this one. It has cleared all my concepts related to Big O and space complexity.

[@noobypro4560]

You dont know how much i wanted this course thank you so much Free Code Camp you really deserve a lot of praise

[@bhargavpandya9189]

Quite possibly the best explanation of Big O that I have come across on the web period!

[@saveoon]

3 years and this is still ridiculously helpful! This video is a guide on how youtube videos should be executed, that no matter the age the video is still relevant

[@stevehoang9]

That is the best explanation about Big O notation I have ever seen 🤯

[@BusinessWolf1]

EDIT: n^2 means n squared. Here is a better explanation for O(n^2) for anyone who didn't understand the one in the video. For loop is a O(n) operation. A for loop inside a for loop is also a O(n) operation. The inner loop iterates as many times as the other loop iterates, so n*n, which is O(n*n). And n*n = n^2. EDIT 2: n^3 is just n*n*n

[@samuelodan2376]

I’m curious about what made you think this was a better explanation. To me, it’s just another explanation.

[@BusinessWolf1]

@@samuelodan2376 A different perspective can be a much better perspective depending on the person observing it.

[@bolarinwaoreoluwa5268]

@@BusinessWolf1 hmmm 🤔 Didn't see it this way till now Thanks ☺️👍

[@samuelodan2376]

@@BusinessWolf1 that means there’s potential for it to be a better explanation, not that it already is, right?

[@CarlosVixil]

could you explain the log one? to me it amounted to "it's log because it's log, now you understand!"

[@jayantasamaddar1446]

1:15:30 - (i) Actually in the merge function (helper for mergeSort), you can exit the while loop earlier, instead of using &&, you can use || (OR) instead because you are presuming to use two sorted arrays as the function arguments anyway (otherwise, the two-way merge will not work). What that means is, if any one of these arrays are already part of the final merged Array (i.e. we have traversed through at least one of the two arrays, that means we can simply concat the other array which still has elements not added to the merged Array, to the end of it, without any further thought). (ii) The concat method can be used like this instead of two concats. ``` const merge = (arr1, arr2) => { let i = 0; let j = 0; const mergedArr = []; while (i < arr1.length || j < arr2.length) { if (arr1[i] < arr2[j]) mergedArr.push(arr1[i++]); else mergedArr.push(arr2[j++]); } return mergedArr.concat(arr1.slice(i), arr2.slice(j)); }; ```

[@Milorae]

If you use OR you can get out of range for one of the arrays.

[@exomk5319]

What language are you using ?

[@StarRoseAngelic]

Christ pls give me the attention span to get through this course. Amen

[@julianosanm]

The hand drawing behind the screen doesn't help with that! Please stop using that it's distracting af!

[@ahmed_raaphat]

Divide and conquer

[@iansmith6844]

I refuse to like this comment because it has 69 likes. I pray everyone does the same🙂

[@melvinsaji2805]

AMEN 🙏❤️🙏

[@meenaalekhya3380]

meeeeee tooooooooooooooooooooo

[@rohankademani6406]

This channel is killing it it's like Top 1% of the content Thank you so much

[@nileshsaini09]

Two hours well spent!!! Amazing course, Clear and Concise Explanation of each topic. Thank you so much for making this video.

[@thebeaverkidd2970]

I've looked at so many videos trying to find a person who explained it easiest and quickly and somehow the nearly 2 hour long video is the only one that did both of those

[@mithilmehta1501]

Trust me this is the best video for understanding O notation I have ever watched.

[@montyferguson4657]

This is what I'm currently learning in college and needed someone to break it down for me. Thanks 👍

[@sirbalafort2620]

At 1:05:40, you don't need to specify the last element of an array in the slice function. Leaving the second argument blank will do the trick, as specifying only one argument in slice goes to the end of an array by default.

[@archive9558]

It's like you guys can read my mind to know just what I'm searching for

[@matiaspincheira7571]

Ikr

[@idilsuozer8800]

the sound at 1:20:12 it got me cracking up lol. an amazing straightforward tutorial, thanks a lot!

[@seanson274]

just experienced it also!

[@nolanalexander8696]

My man's hungry lol. Need some break :)

[@germantoenglish898]

I tried books, articles and other videos that tried to explain Big O Notation and all of them left me more confused and frustrated after seeing them than before I started. As all the other commentators have said, "Well done". A brilliantly simple visual and clear explanation. You are a great teacher! 😃👍 I understand it now but I will watch this again a few times to get the code examples in my brain.

[@luiscarrillo1494]

Studying for my computer science midterm. Great video helped me a lot!

[@mihnea4924]

Studying this for my national Olympiad ☠

[@SnobbyLion]

Those "Big O notation in 10mins" videos were NOT cutting it for me. Thank you soo much!

[@faye7503]

i have been struggling so much on understanding this topic, and this video discussed it at the perfect pace! thank you!

[@owaisshaikh2144]

This is the best big o notation course. Everything is explained very well. Thanks.

[@aroicx7554]

best 2 hours i have spent on any course at all now i can say i understand the Big O notation

[@reenueee7218]

Step by step explanations made me to understand Time complexity much better than many other KZbin tutorials. Kindly feedback, why space complexity not explained much ?

[@maniaharshil]

your explanation is : so elegant... so beautiful .. just looking like wow !! 😍 ...Please please cover more videos on space complexity & few more common mistakes and trade offs

[@kim92se64]

First time I really understand what is Big O notation !!! as a CS student

[@TheTrackoShow]

the 0(log n ) example at 30:34 cause a stack overflow. the correct way to implement. function log(n) { if (n

[@harshrai6259]

Video is good because of the content and the implementation in javascript makes it even better.

[@user-wr4yl7tx3w]

This is the one video that finally helped me to understand big O

[@jettergarcia3099]

Great explanation! So far this has been the easiest out of my 3 days of journey in just understanding the meaning of big o notation

[@Carrymejane]

Best course for big O notation ever

[@riadh3885]

sir you have a potential to become a great tutor - the way you break down a complex topics into a simple one. - Clean visualization . - Detailed explanation. keep it up the great work

[@Battleevents]

Allah! La ilaha illa Huwa (none has the right to be worshipped but He), the Ever Living, the One Who sustains and protects all that exists. Neither slumber, nor sleep overtake Him. To Him belongs whatever is in the heavens and whatever is on earth. Who is he that can intercede with Him except with His Permission? He knows what happens to them (His creatures) in this world, and what will happen to them in the Hereafter. And they will never compass anything of His Knowledge except that which He wills. His Kursi extends over the heavens and the earth, and He feels no fatigue in guarding and preserving them. And He is the Most High, the Most Great. [This Verse 2:255 is called Ayatul-Kursi.] [Surah al-Baqarah 2: 255]

[@HeartStargaming16]

Thank you very much Giorgio thompson! Easily the best video explaining big 0 notation in my opinion

[@myblrapp9627]

I wish Such kinds of youtube courses were available during my college days. But till now my learning appetite is increasing exponentially.

[@Ty-tf1ch]

Had to rewind at 1:20:15 to make sure it wasn't my stomach grumbling lol.. Great video super informative!!

[@ozzy4738]

This is the best Big O Notation video I have ever seen.

[@JC61Support]

Wish I had this source available 3 yrs ago. This is taught so well I had to watch it!

[@thatexpertsim4874]

well, this video achieved what a degree and other courses couldn't. thankyou :-)

[@cod3ddy74]

wow! i'm so blessed, thanks for the course i now understand what Big O notation is!

[@jaxontn]

WOW THANK YOU SO MUCH, Time complexity is so easy to understand now!

[@chachacha1289]

I have seen a lot of different stuff but this one is the best! 2 hours well invested. Bravo and thank you for these crystal clear explanations!

[@Karim-nq1be]

Thank you for this video. I wouldn't way that it doesn't matter how big the numbers are when multiplying two numbers. Though it is correct to say that multiplying two "small" numbers would take constant time since the CPU can compute the result almost instantly, multiplying two very large numbers takes polynomial time.

[@AleySoundz]

This is the most amazing tutorial on big o notation! Thank you!

[@YashDesai-hi8iu]

at [1:15:00] we could return this in python -- > ""return result + [left_arr[lx]] if lx < rx else result + [right_arr[rx]]"

[@bassam.2023]

This is the best video on time complexity on KZbin, period. 😀 Thanks!

[@yusoofali1254]

This is the best video i have found so far for understanding big O notations! Thank you.

[@momentswithmanisha]

Best explanation for time complexity calculation. Thanks!

[@veyselbasbaydar5665]

the best O notation tutorial !!!!!!!!!!!!

[@sathvik.a.r]

Thanks for the lecture! I now have a good grasp on this topic.

[@adetolasanni007]

This video ease up my brain on Big O notation. The video is good. Thank you.

[@KrishanuDebnath-vv9cs]

You make it so easy, best channel in KZbin man

[@mohamedyork7136]

I only know python and still understanding his code 100%. Thats what good teacher matters

[@iChrisBirch]

Great explanations and examples with good drawings. It is highly under appreciated when you take the time and effort to make your handwriting legible and use a consistent color pattern when explaining examples. This really makes a big difference visually in understanding the parts. Thank you so very much!

[@mohitsaud2071]

Thank you and watched the full video.

[@lfzhu586]

This is gold, you made Big O easy to understand

[@neerajsinghrawat710]

Best course i ever watched ! simple to understand🤗

[@courtneynel7433]

This has been one of the most helpful videos I've seen since I started self-learning. Not only do you explain time complexity in bite-sized bits, but you also explain frequently used algorithms and their everyday applications! Thank you!

[@anonymousgerman2809]

Man seriously I was thinking about this today only that how hard it is and your came like a magic

[@udbhav_rohatgi]

I don't care whatever it is. I love keep watching this because this is interesting. Teaching is great.

[@enzopguerraeg]

Must say that thats the best tutorial related to the subject!!!

[@AreshaBasirSpriha]

I am really becoming a great fan of this coding camp

[@praffulpatil007]

This is pure gold 🤩 thanks for making such amazing content. Initial i did not expect to stay till end of the video but boy oo boy the content quality is so good that it kept me hooked. Love you guys 🤩

[@LoveTaiwan678]

I love how you detailed the deep dive part of merge array. I'm a python beginner and I'm not good at recursive prgoraming, this video helps me alot, thank you❤

[@bishnukumarbhakat4892]

This is a clear explanation of Big O. Thank you

[@lennoxcedeno8270]

Think this illustration should be in EVERY TEXT on algorithms. Understood O(n^2) as there were two loops and the inner ran the input number of times every time the outer loop ran. But this illustration makes it CLEAR WHY it's O(n^2)!

[@goblinkoma]

In general a very good explanation of the topic, yet for anyone who is somewhat familiar with the basic idea of the topic or the scaling of different mathematical functions the expalations are generally very slow. I think some parts, like n^3 could have been same quality in alot less time.

[@richardvargas4950]

This is a great video. I'll say for those who don't have at least an engineering math background that studying some matrix algebra and calculus without the trigonometry (however trig is fun!), might be helpful for intuition. Also it can open doors otherwise left closed for programming jobs.

[@novanoskillz4151]

Been up since 5am… it 10pm and i just found this, i have to watch it now… wish me luck.

[@truongngo6197]

OMG i'm studying it on school and u guys help me so much

[@alexandresantos7966]

Fantastic course, with amazing examples. Simple objective, now I can study better algorithms. Thank you very much!

[@soubinan]

You are a really good teacher!!! many thanks!!!

[@wyat_za377]

THANK YOU. been wanting a video on this for a while

[@jeremiahnji6]

Such a precise description of each time complexity and well organized. Ty so much!

[@spacewad8745]

Nothing was glossed over. Everything was explained so well. Great job man!!

[@kd6164]

Awesome video that really helped me to learn Big O and understand it better. Thank you selikpro!!

[@nadeemvit]

Beautiful explanation. had been struggling a lot , have seen many of videos but now i am cursing myself why the hell i did not land here first time.

[@MrDummy-sn5rb]

Insanely simple and precise

[@smohanofficial]

Very good and clear explanation, sorted many of the questions I had in mind. Thanks.

[@ebenezeradedotun4197]

This guy really did a great job... Thanks so much for this

[@ivanpazyuk8184]

Best explaining I have seen

[@uajoku]

Nice. The illustrations made understanding the big-O concept very easy. Thank you.

[@disidenteliberalanar9742]

Thanks for the video, greetings from Argentina!

[@mrboyban]

Thank you so much! This video is definitely a teaching masterclass. Great stuff!

[@youssefgalal7938]

Such a nice guy and i loved this tutorial so much , it's so different

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[@glorysonhorace3265]

I like your explanation, sir. Very clear and precise

[@t6hp]

This is a great tutorial, thank you so much! I learned so much, especially regarding binary search which I was struggling with in the past. I would love it if you explained how you set up your terminal like that and use it for coding? Seems much faster that VS Code.

[@lemonjuicestand4574]

This is great. I'm going to talk about it more in my videos.

[@santoshpalli1989]

Thank you so much for very detailed explanation.

[@KarthickRajan-y2x]

Thanks for the in depth explanation

[@catnip2906]

In Java the nested (for loop) controls the outside loop, right so the outside loop is the row and the inside the column. Timestamp 11:52 on your video. 00, 01, 02, 03 10, 11, 12, 13 ... Either way thanks I don't know big O notation or Data Structure & Algorithms.

[@jasonzeng5544]

Great video explaining it. Very easy to understand from the visual examples.

[@maxfrischdev]

I would probably go crazy repeating myself so many times in different ways 🤪 But I appreciate that it DOES help make it stick 🙂

[@xhiah5894]

🐐🐐🐐Amazing video, don’t hesitate to make more

[@s_l0th]

Thank you again, and again! These are wonderful explanations

[@unknownman5296]

the thumbnail was sick !!!!

[@seanson274]

1:20:13 actually thought that was my stomach while in the library and looked to see if I had disturbed people! great video, awesome you should lecture at my Uni way more students would get you than the lecturer!👍

[@benh7297]

Thought it was my stomach too 😂

[@anselmobd]

Some good explanations. But, at 1h28m, just to be mathematically correct, I must say that the Fibonacci calculation is wrong, just because the first term is “1” and not “0”. Therefore, the function should start with "if (n === 0) {return 1}"