Big-O Notation in 100 Seconds 

The kid crying is exactly how I feel when someone asks me about time and space complexity 😢

It's year 2030, computer science universities go bankrupt because everyone is learning from fireships 100s videos instead of lectures. Keep it up ! 😁

Dude! your materials are like O(1/n)... The more advanced concepts you take, the shorter and easier to comprehend your material is :) keep it up! you're doing a great job

I'm so pissed off at this because it ends at 100 sec.

It took me forever to understand this, even when I was taking data structures in college. I really like the way you explain this as it's very similar to CS50, the free course that Harvard provides, but you do it in 100 seconds.

Can you explain my life in 100 seconds too? You're amazing man 🔥

From Application Development to Software Engineering to now Computer Science... Looks good for audience of this channel. Keep up the good work. Much needed video for people who are not from computer science and well explained from perspective of Computer Science and Engineering Graduate.

this taught me more than the weeks I spent watching tutorials on this

I will watch every single video this GOAT is making

I'm really glad that we have people like you here in RU-vid, awesome videos with amazing quality and great knowledge. Have you ever considered making videos about Programming Paradigms? Design Patterns?

I'm jealous of any current CS students who have these videos... YOU HAVE NO IDEA HOW LUCKY YOU ARE!

You explained this better in 100 seconds than my professors did in college over 5 months.

After sharing the first #100secondsofcode video I made a comment wishing for this to be a series. I'm very happy to see it as a reality. Thank you

I remember having trouble understanding how the Big-O notation worked years ago. This video will be so useful for students around the world, thank you !

Thank you. Had a whiteboard interview with logic questions and my RU-vid feed has been all about them, this is the first video to tell me what the maths was people kept using to show their thinking!! Big O notation, ahhhhh the relief and all in 100 seconds! You god

Wow, by far the best explanation that I've ever seen (thanks to the graphs). 👌🏻

I absolutely love the art style and of cos the way you presented! Can you please please please make the 100 seconds series along with like x mins series for more in dept details?

I'm loving this concept of code in 100 seconds. Keep going please

Your Videos have the Best Visualizations! Thank You Fireship!

Extremely great fun for this. Short, sweet and to the point with great visuals.

I love this. Your succinct explanations cleared up this topic for me. Thank you very much, liked and saved!

Do more of these videos! I think the format is awesome! Maybe even a bit more than 100s wouldn't hurt. I presume it would a bit easier for you also to fit everything in.

Love the format, amazing as always.

Was confused by a course I'm taking, and am relieved after seeing this. They really overcomplicated it, and you nailed it.

This is really good content, i'm surprised you summarised it in such short ammount of time. Great work and keep going!

These 100s' videos making me motivated to do one for study purposes. Really like it!

Seriously though, these 100 seconds are probably the most useful 100 seconds until now and for what I will be needing it.

One thing about big O is that in some cases you'd actually want to use the less optimal algorithm. Crazy optimised search algorithms for example will introduce a lot of overhead before actually performing the search and this only scales well with big numbers where searching over an array that we know is gonna be just a few items long would be better off with a normal for loop.

you have the gift to explain something allegedly complex in a simple manner. i salute you.

best 100 productive seconds I've ever seen, thanks man!

Love these videos keep them coming!

Amazing production value, thanks buddy.

please please keep doing this great work, just amazing! thk u

This is amazing as always!! Please share the tools you use for making such amazing videos. Thank you for all your hardwork❤

This is so cool and visual... thanks mate!

This is way more helpful than my CS prof's lecture, thank you!

Very well explained, thank you!

Thank you ,all the other online definitions made it so hard for me. But I finally understand what BigO notation means

loving this short daily clips..................waitin for more.

This was amazing really, you made it very simple to understand in a short time, thank you

These short form videos really help me learn better than long lessons with power point slides, especially with my adhd.

yo thank you so much! That's literally the kind of teaching I'm looking for on youtube. This video was super efficient and taughtfull, you saved me some damn time man, I love you xD I feel so satisfied right now

I have taken up this mission to watch all your videos and like it

AMAZING LESSONS !!! DREAM LESSONS!

This video is amazing explained so much in such a short period of time.

Didn't knO this was gonna be a series, great idea!!

Thanks for this! It would be nice to see a video on how to calculate the big O notation of functions. 🤜

These videos are too good, keep it up!

not even kidding i watched this video about 30 seconds before i started my test that covered this, thank you for the short form!

Dammnnn it's simple and to the point..cheers and happy new year 😊

Just amazing, please continue

Just when i needed it, ty

This is so cool. Perfect for reference

I love it btw!! We want more 100s

Bro istg this dude explain things better and easier to understand

its so weird how i tried to learn this big o concept from various sources like udemy, youtube, coursera, etc since past few years but only being able to fully understand today at around 3:15 AM. Thanks a lot Fireship for helping an about to graduate cs student

Your content is easy to understand..pls continue good work..

Really good video. Simple. Fast. Knowledge.

WE WANT MOREEEEE! GREAT VID!

very high quaility video, as always. God bless

Thanks, for explaining what it actually is. Everyone else dives into explaining the different kinds of Big-O Notations.

You reminded me of my algorithm analysis and design classes in the university 📚😁 Ty for all 😁

The best video on the subject.

Thank you mate thank you so much❤️

Thanks for these 100s videos :)

Wow that's great explanation in just 100 seconds . We need more videos like these . 😅

Thank you Jeff!

I'm more impressed by the effort you put in making the thumbnails

Your editing skills are impressive.

This format is good!

I think I FINALLY understood it!

This is amazing explanation is such short time 😮

Please make an in depth series about algorithms and data structures

OMG after all this years I finally understand it%)

Simply amazing

finally someone explained this perfecctly

Just excellent!

Great content!

Please make some videos on Algorithms.just because your explanation is very easy and understandable

O(nlogn) algorithms split data and process all section. O(logn) algorithms split data and process a single section. Binary search is logn, merge and quick sort are nlogn avg time complexity.

Really helpful, I always read about log(n) performance and had kind of the right idea about it in my head but wasn't sure if it was correct. Never bordered to check it online, so thanks for this awesome video :)

thank you for this

Thanks!

Bro, for some reason, it's today that I understood what big O notates. (8 years as a software eng. Lol) thanks

You omitted the factorial O(n!)

This video was nice. Good explanation in short amount of time but alot to get. It will be cool to make one about the Big Omega and Big Theta notation too 🙄

GREAT VIDEO.

Do more like this.

Can we get a more in depth video of big(O), explaining how to calculate it, for space and time separately?

Best 100 sec of my time.

YES! Another one!!

To the point 🙏🏼

Make a series of explaining complex things in 100 seconds.

I want more!

100s segments are excellent

I remember doing a technical interview a few years ago and being asked about Big O and I was dumbfounded. I then studied up on it afterwards. This was the best explanation I have seen condensed into 100 seconds

So far one of my favorite js programming channel

I think 100s is just a refresher of what we studied as CS stu, and an intro to whos new to CS. IS this the idea? fireship?

The problem is when certain operations are asynchronous/threaded or when there is probability involved (for example a request can fail, need 1 ms, 1s, 10 minutes, receive an error message, timeout, etc. etc.). Big-O notation can be very misleading then and in some cases even lead to bad performance. For example sometimes it's better to make many small requests rather than 1 big request and sometimes it's the opposite. As with anything in CS, it depends on a lot of factors.