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  • what's going on, everybody and welcome to a Q and a video about you guys.

  • So I get asked fairly frequently about various questions about my channel audience.

  • Justin generally their numbers or countries gender, this kind of thing.

  • So I thought it be kind of cool to combine all of those into a single video.

  • We're gonna go over stats both from the YouTube channel as well as python programming dot net.

  • Uh, let's get started.

  • So the first thing we're gonna look at is this graph from December 4th to March 2nd, 2015.

  • So basically a 90 day window of the YouTube channel, just as it was kind of early days getting started, as we can see here, really not really anybody from the age group of 13 to 17 then 18 to 24 it starts to pop, and then the biggest group is 25 to 34.

  • A few people 35 to 44 then, you know, kind of trails off from there.

  • But even some people apparently 65 years old, so or greater, so that was things getting started.

  • Also, the male to female ratios 5% female, 95% male.

  • So So, yeah, that's think it started.

  • I think it's pretty safe to say the average viewer age is in their twenties.

  • So we're talking college aged males for the most part, which kind of fits the bill of a programming channel, especially back in 2014 2015 so continuing along out, we're gonna jump the same stats on Lee the last 90 days.

  • More current.

  • So december 4th, 2019 to March 2nd 20 21st thing to note is, females are now up to 10% of the viewership, still a minority.

  • A lot of times your viewership is going to mimic the creator.

  • Now, that's not always the case.

  • But chances are, if you're a male creator, you're gonna probably have a male audience.

  • If you're in your twenties, your audience is likely to also be in their twenties and and so on.

  • So some of that could be described that way, Although I do feel like like python programming dot net, as you'll see soon, the main traffic sources organic.

  • So these are people who just search, so I feel like that's a probably better representation of the male to female ratio, which we will get to three other interesting change from before.

  • Till now is the age group of 18 to 24 is now the largest group.

  • I think you know 18 to 24 is like so, 25 to 34 is really your graduates, right?

  • These are people who are done with college as opposed to 18 to 24.

  • These are actually your college students.

  • So this is just more people, I think, in college that are focusing more on computer science.

  • So anyway, pretty interesting.

  • Moving on to the next stats.

  • We have the country.

  • So this is again from 2015 the same 90 days back in 2015.

  • We can see no surprise.

  • The United States is number one here.

  • And like I said, uh, for some reason, this seems to be slowly changing on YouTube.

  • But if you were a YouTube creator, wherever your location waas was, who YouTube would tend to recommend to view your videos for a very long time, I think that's changed now.

  • But for a while, that was kind of the case.

  • So United States, UK, India, Germany, in Canada, kind of the big five here, there's more people on the list.

  • But anyway, so that is 20 basically basically 2015 moving on, though, to today we could see India is now number one.

  • Not by far, but considering, um especially my location.

  • I suspect that this trend will only continue No real surprise.

  • India is obviously a massive population country.

  • Also, India's kind of waking up technologically in terms of like getting people into programming and stuff like that and really getting into industry.

  • Um, including more service based industry, like programming jobs.

  • So not really too surprising.

  • It would be definitely interesting to see, like in the coming years.

  • What, What, what?

  • The India representation, especially on a channel like mine, is gonna look like United States is still number two.

  • Um, and I'm kind of curious.

  • Initially, the United States was 28% India was seven, and now India.

  • So it's almost like India just took took the place of the United States.

  • But viewership just overall, this is up.

  • So that's really gains everywhere.

  • It just is India gains are the most, um, a couple other interesting things is if you look at the other big five countries, the United States, Germany Canada.

  • These are all people watching over four minutes.

  • Right?

  • So the watch time averages over four minutes.

  • India is really three minute like India appears to be about 75% of the watch time.

  • So all that people from India have already like close out of this video shouts out to the Indians who are still watching you guys are the best.

  • So moving on to countries.

  • So again, we're looking at the Centex YouTube channel for basically the last year.

  • So the year of 2019 pretty much every country is touched.

  • There's a couple of countries in Africa not hit, but other than that, we're looking pretty good there.

  • Uh and then and then all, obviously, you can kind of see here.

  • I think the colors or not, not the best.

  • Um, because I think India in the U.

  • S.

  • Should be like the most.

  • So I'm not really sure what the dark color is like.

  • It doesn't look like dark should fit on the scale at all.

  • But anyway, uh, moving along, this is your subscribed to not subscribe ratio.

  • So three YouTube Centex Channel is about 33%.

  • So 1/3 of you are subscribed, 2/3 of you are not.

  • Honestly, I would think this number would be way worse than it is given how much my channel is organic based.

  • So most of my But sometimes I wonder is that, like, you know, is the chicken or the egg kind of scenario?

  • Because most of my views come from organic.

  • So people are searching problems.

  • They're finding my videos.

  • They watch the video, they move on, right, Don't subscribe.

  • So my question is, Is our most of my viewers that way?

  • Because that's just the nature of the beast.

  • Or are my or is it the other way around where, like just because something I'm doing is wrong?

  • That that's just that's all the viewers that I'm getting is organic, right?

  • So you never really know.

  • But I suspect it's just at least myself included, like, not following really anyone.

  • Programmer.

  • Instead, I tend to just google my problems.

  • I find a resource and I move on.

  • So, um okay, continue along.

  • So now we're looking at countries for python programming.

  • That net now python Parliament net serves way more users than the YouTube channel does.

  • So this is really no surprise again.

  • No, this time, truly, no country is not touched here.

  • So that's That's pretty cool.

  • That's still something I kind of grapple with.

  • Understanding is like the reach of python programming that net in the YouTube channel.

  • It just, uh it just seems crazy to me.

  • And even yet, the top one, which I guess is India is 886,000 people.

  • That's insane.

  • That's just insane.

  • That's a lot of people.

  • And that's unique.

  • CE By the way, where is that views?

  • I think that's actually views.

  • That's probably not unique, but we will get to unique soon enough.

  • Moving along.

  • We have, um, active users for about a year, So this is kind of the trend of activity over the course of a year.

  • So the one day active users is about 9600 people.

  • So that's that is unique users.

  • Over the course of a week, 80,000 different people are using, and this is python programming that net over the course of two weeks.

  • It basically doubles, and then over the course of 28 days, 300,000 people again, that is just unfathomable to me, like I just don't understand how the reach could be that big.

  • But, I mean, that's just the age of the Internet, I suppose.

  • But, you know, whenever people asked, like, Why don't you go try to, you know, be a professor somewhere and teach computer science, like at a university or any school, for that matter?

  • Um, this is why?

  • Because this is crazy.

  • I could never do that.

  • I could never have that much of an impact at, you know, teaching.

  • You know, you get a lot more one on one time, which there's something to be said about that.

  • But who?

  • I think the impact is way better there.

  • Uh, anyway, that again, Crazy, crazy.

  • So now we get the demographics for male and female on Python programming.

  • That net, which is like I was saying, I think on YouTube because like you're the people who watch you, the people who relate to you tend to be people like you.

  • So it's no surprise to me that the female watch rate eyes different than the female on the YouTube channel is different than the one that we're seeing here.

  • So in this case, it's basically 25% female, 25% male over the course of the last year.

  • Also, the age demographics were at least on Python programming.

  • And yet, strangely enough, is 25 to 34 is the main arrange Not I can't quite explain that one.

  • I I don't know.

  • I just be taking guesses.

  • I guess maybe 18 to 24 people are more likely to watch video format and then the 25 to 34 or more likely to just read it.

  • Move on.

  • No idea.

  • No, no clue What's going on there.

  • Okay, then we've got traffic sources.

  • So this is again for Python partner Annette.

  • So how many like, what was my traffic coming from our people typing in python parliament and getting there or or people being referred?

  • Or are people do you know, doing some sort of duck duck, go search or what?

  • And in this case, we can pretty clearly see that the more than 75 for 75 more than 3/4 is coming from just organic search.

  • So, as you can see here, this is again over the course of a year.

  • Organic search is just by far the most traffic that I get um, it would have been interesting.

  • I wonder if maybe I'll added in later to see the organic search for the YouTube channel.

  • I'd like to see that.

  • Is that also like, 75%?

  • I don't think I did that.

  • Um, yes.

  • So direct is the next one.

  • Oh, this is behavior.

  • This is bounce rate.

  • Do it.

  • Well, that explains it.

  • What?

  • It dummy?

  • Okay, anyway, so, yeah, these were the real numbers, so Yeah.

  • Organic.

  • 79.

  • So I guess that tells you again the people who are searching their finding you organically they get the answer to their question.

  • And then, of course, they bounce.

  • They're not gonna continue going through.

  • They just wanted to answer that question.

  • So yeah, that's hilarious.

  • Uh, I really probably usually film like around 1 p.m. And lately I've been filming in the morning, and I'm not sure that's working out for me.

  • Um, I just can't think Right.

  • So, Okay, so yeah, organic search.

  • Almost 80%.

  • I mean, that's that's so many people.

  • That's crazy.

  • And then direct is 9.5, So not very much.

  • The people are not going to python prepared that net on a daily basis all by themselves.

  • Social 8.2.

  • No surprise.

  • And then referral.

  • I can't even see how big that is.

  • Okay, so yep.

  • And then, obviously, like, paid search and stuff like that is nothing.

  • I don't market or advertise for YouTube or Python.

  • Pergament.

  • This was an interesting one.

  • Um, this is the most viewed pages on python programming.

  • That net.

  • As you can see, the home page is number one.

  • No surprise.

  • Secondary is the machine learning tutorials.

  • That is just the machine learning Paige on python programming dot net and then coming in hot at number three, reading CSB vials and python.

  • Thanks.

  • Corporate America.

  • I know you are.

  • Yeah, that's such an old tutorial.

  • Feel bad for everybody.

  • Finding that one they need to be finding data analysis is and they need to be going to the pandas tutorials, but they're not.

  • Maybe I should probably have, like, a redirect or something there.

  • Anyway, uh, so, yeah.

  • So you have These were the ones.

  • I mean, no real surprise machine learning number one interaction of python three's very close python fundamentals.

  • That's kind of where the basics are.

  • So no real surprise.

  • There then?

  • Yeah, Just go from there.

  • I am surprised how popular open CV is, especially considering how bad my open CV tutorials.

  • So that's kind of funny.

  • Um, definitely need to redo those if you want to learn open CVI.

  • Currently, the best places to is pie image search dot com and I don't understand what search results.

  • I'm ranking higher than Adrian in that case, but somehow I must be so, uh, yes.

  • Oh, yeah.

  • Interesting.

  • You can kind of pause if you wanna look at the rest of those, but you should get a pretty good idea there on then.

  • This one is a fun one.

  • This is where you can take the I S p of the person who is accessing your content.

  • And you can filter out to some extent, the major Internet service providers.

  • And you can figure out companies because they're usually on their own kind of unique corporate, uh, commercial line.

  • So, for example, my number one viewer is after filtering for major Internet service providers.

  • So this is getting rid of, hopefully most individuals.

  • And we're looking at companies only here, uh, Microsoft number one like 22.2%.

  • So someone let me know if Microsoft somehow is providing Internet in Mass to people other than at Microsoft is there's a lot of people that's pretty crazy.

  • No surprise.

  • Like 18 t slips in like 18 t calls themselves like a 1,000,000 different things.

  • I'm confident that's just 18 to Internet.

  • You got Intel Amazon Digital lotion.

  • Cisco Google may go down the list.

  • I mean, basically every major company you can usually find, Uh, and I think I found, like, Tesla's.

  • What do you think Tessa was looking at?

  • Like Ah, self driving.

  • Cool.

  • Oh, no, not this.

  • Not like this.

  • Uh, yeah.

  • Anyway, so, yeah, that's a fun one.

  • Apples on their bailey.

  • Every every company is pretty much on your right.

  • I went through the list, but you can see here, this is like they're actually feel like the Microsoft one is a 2% of my whole viewership is I mean, that's like the viewership of some countries.

  • Okay, so that's a That's a big number, so that's pretty crazy to have that much.

  • But as you get down this list, you can see it's like 0.22 and stuff as you start going down So it's not really that many people.

  • And I believe this is over a year's time.

  • I'm not really sure.

  • Yeah, if it's one point, I think that's about right.

  • Users, 1.5 million a year.

  • Something like that.

  • We'll see in a second.

  • So yeah, straight users.

  • Oh, so that would be, like six months, then, I guess.

  • Oh, yeah, this is okay, So this is over the course of a year, but we filtered, so we we ran a pretty massive filter past.

  • You can see even after filtering all the you run out of filters that you can keep adding.

  • So I just ran out of options, but, um so, yeah, about half the user's air filtered.

  • So, yeah, there's weird ones like this space is statically assigned.

  • I don't know how that happens as your Internet service provider, but hey, whatever.

  • Okay, then finally, the meat and potatoes.

  • What's the numbers?

  • So, for this must be Python Python program and that 3.5 1,000,000 this is users, not views.

  • So 3.55 million users over the course of a year, that is nuts.

  • That's freaking nuts, guys.

  • That's nuts.

  • And new users which is interesting.

  • I guess these air new people over the course of the years almost the same.

  • Number three point, um, sessions, 6.1 million.

  • That's pretty good.

  • Maybe two users.

  • Yes, number of sessions per user is 1.72 Not bad.

  • Not bad.

  • 12 million page views.

  • So it's like it's just pages.

  • Procession 1.96 So I guess people tend to come back twice and view two pages at a time when they come back.

  • Okay, Um, viewed oration.

  • Two minutes 29.

  • Not really too surprised, given my own habits.

  • I don't think I spent two minutes on a website.

  • When I do an organic search for something, find the result move on.

  • So pretty interesting.

  • Well, I think that is all of my images.

  • I'm trying to think if I've missed anything for you guys, but yeah, that is the, uh that is all about you.

  • What?

  • So if I've missed something or whatever, feel free to ask below.

  • Maybe in the next Q and A.

  • I will cover it.

  • Otherwise, this video, sponsored by me yet again for the neural networks from scratch book.

  • If you want to learn how neural networks work, and you're tired of applying kind of cookie cutter models to honestly cookie cutter problems.

  • So problems that have already really been solved for you if you want to actually learn how to go out, use neural networks on your own and understand why something is working or why something isn't working.

  • Even more importantly, the normal hours from scratch book will teach you like everything you could need to know about neural networks because it's literally from scratch and python know libraries.

  • We eventually use numb pie just because numb pie makes a lot of sense, but no tensorflow pytorch or anything like that.

  • So and even though we used some pie, we show how to do things in raw python first.

  • So if you want to learn more about neural networks, I just can't think of a better way to do it.

  • The book is available for period pre order right now at an A and F s, which is short for a neural network from scratch.

  • So N n f s dot I owe you preorder the book.

  • If you do get access to the draft, which allows you to comment basically in line so you can read the draft.

  • And then if you've got questions or comments or whatever, you can just kind of highlight a bit of text.

  • Make your comment there, and either me or Daniel, who is the co author of the book, can help you out.

  • So if you're interested, it's again n NFs dot i owe the draft is current.

  • Currently at the time I'm recording this, um, basically everything from building the neural network to back propagation.

  • So basically full circle.

  • And and now we're just kind of talking about things that go wrong, mostly at this point.

  • So, uh, definitely check that out if you're interested.

  • Otherwise, I will see you guys in another video.

what's going on, everybody and welcome to a Q and a video about you guys.

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    林宜悉 發佈於 2021 年 01 月 14 日
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