All language subtitles for 42. Sets 2

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian Download
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,690 --> 00:00:01,650 Welcome back. 2 00:00:01,740 --> 00:00:06,660 The methods we're going to talk about when it comes to sets are right here. 3 00:00:06,660 --> 00:00:10,490 It looks like a lot but they're quite similar so hang in there. 4 00:00:10,530 --> 00:00:19,020 I have two sets for us are my set which is one through five and then your set which is four through 5 00:00:19,020 --> 00:00:20,490 10. 6 00:00:20,490 --> 00:00:24,580 Now let's go one by one and see what these methods do. 7 00:00:24,710 --> 00:00:32,060 And if you've ever seen Venn diagrams in your school for example two circles that are overlapping each 8 00:00:32,060 --> 00:00:32,410 other. 9 00:00:32,510 --> 00:00:35,500 What we're about to do is quite similar to this. 10 00:00:35,780 --> 00:00:43,190 The first one is difference and sets are very useful when having two sets and comparing them to each 11 00:00:43,190 --> 00:00:44,050 other. 12 00:00:44,060 --> 00:00:51,350 So for example in here difference simply says my set dot difference and we give it another set such 13 00:00:51,350 --> 00:00:52,790 as your set. 14 00:00:52,880 --> 00:01:01,190 If I print this right here and I click Run I get one two three. 15 00:01:01,400 --> 00:01:05,030 It's going to find the difference of the first. 16 00:01:05,030 --> 00:01:14,280 My set with your set so any duplicates between the two which is four and five gets ignored and it only 17 00:01:14,280 --> 00:01:15,350 shows the difference. 18 00:01:15,420 --> 00:01:16,920 That is one two three. 19 00:01:16,920 --> 00:01:21,020 What's different between my set and your set when viewed from my set. 20 00:01:21,030 --> 00:01:24,290 Well your set doesn't have one two three. 21 00:01:24,330 --> 00:01:34,150 What about the next one discard again if we do my set DOD discard it says it removes an element from 22 00:01:34,150 --> 00:01:50,720 a set if it is a member so here we can say discard five and if I do print my set and I click Run I get 23 00:01:50,780 --> 00:02:02,190 none but if I print here my set and I click Run I get one two three four because we've just discarded 24 00:02:02,430 --> 00:02:12,220 Five it modifies our set just to keep our working space clean I'm going to comment this out next is 25 00:02:12,280 --> 00:02:19,770 difference update so I'm going to say my set and then once again let's see what difference update does 26 00:02:21,260 --> 00:02:25,670 remove all elements of another set from this set. 27 00:02:25,670 --> 00:02:39,020 So if I do your set here and once again I do print and I click Run I get none because it just modifies 28 00:02:39,140 --> 00:02:39,740 my set. 29 00:02:39,740 --> 00:02:52,200 So remember we just have to have our print my set and now this my set is updated with just one two and 30 00:02:52,200 --> 00:02:57,500 three because we're updating it so that the differences are removed. 31 00:02:57,510 --> 00:03:04,350 So four and five are removed unlike difference where it just told you the difference without changing 32 00:03:05,480 --> 00:03:18,070 again if we go back here and simply do my set and I click Run you see that my set here was not modified 33 00:03:18,430 --> 00:03:26,280 right here but then my set bottom was modified because of difference update right. 34 00:03:26,360 --> 00:03:27,730 A few more to go. 35 00:03:27,800 --> 00:03:36,170 Intersection and this one once again my set and in here once again let's see what it does. 36 00:03:36,290 --> 00:03:39,980 It just has intersection with something else. 37 00:03:39,980 --> 00:03:40,920 Well let's find out. 38 00:03:41,180 --> 00:03:49,920 If I do your set here and I do print and I run this it's going to give me four or five because that's 39 00:03:49,920 --> 00:03:56,310 the intersection the two common things that my set and your set has. 40 00:03:56,410 --> 00:04:00,320 What about is this joint well. 41 00:04:00,330 --> 00:04:08,700 If I do my set and then your sect feel like I'm saying those words over and over. 42 00:04:08,700 --> 00:04:10,150 Hopefully that's not too annoying. 43 00:04:11,430 --> 00:04:16,730 And then here if let's comment this out we run this. 44 00:04:16,860 --> 00:04:22,630 I get false is disjoint simply says hey are those two circles overlapping. 45 00:04:22,680 --> 00:04:29,530 Do they have anything in common if for example my said didn't had four didn't have four and five and 46 00:04:29,530 --> 00:04:36,420 I click Run I get true because it's disjointed means these sets have nothing in common. 47 00:04:38,330 --> 00:04:38,860 Awesome. 48 00:04:38,870 --> 00:04:39,610 Just a few more. 49 00:04:41,310 --> 00:04:52,580 The next ones we're gonna see is is subset and is superset but actually before we do that let's do union. 50 00:04:52,710 --> 00:04:54,580 Let's see what this does. 51 00:04:54,600 --> 00:04:58,190 Union will say my set 52 00:05:00,960 --> 00:05:05,980 and in here we want to add the other set your set. 53 00:05:05,980 --> 00:05:16,980 If we print this and click Run I get one two three four five six seven eight nine 10. 54 00:05:17,190 --> 00:05:18,670 What did that just do. 55 00:05:18,690 --> 00:05:26,310 Well union just united these sets together but removed any duplicates. 56 00:05:26,310 --> 00:05:28,710 That's kind of nice. 57 00:05:28,830 --> 00:05:31,700 And as you can see it created a new set for us. 58 00:05:31,710 --> 00:05:39,500 It returned to a new set by the way there's actually a shorthand that you can do here in python which 59 00:05:39,500 --> 00:05:47,370 is the shift and then the key above your enter which is right here the straight line. 60 00:05:47,420 --> 00:05:51,410 So shift and then the backslash. 61 00:05:51,410 --> 00:05:54,250 But if you press shift you'll get this that all straight line. 62 00:05:54,590 --> 00:05:59,430 If you print this will remove the brackets here. 63 00:05:59,590 --> 00:06:04,920 Let's run again and you see that works as well. 64 00:06:05,000 --> 00:06:08,600 And by the way this also exists for intersection. 65 00:06:08,720 --> 00:06:14,540 Again you don't see it that often but with intersection you can do the same thing where you just do 66 00:06:14,540 --> 00:06:17,210 the end. 67 00:06:17,400 --> 00:06:18,870 And if you do that 68 00:06:21,790 --> 00:06:26,470 it gives you the intersection of my set and your set. 69 00:06:26,490 --> 00:06:29,470 All right I promise you this is going to be short. 70 00:06:29,460 --> 00:06:36,380 So two other ones is subset and is superset as you can imagine. 71 00:06:36,520 --> 00:06:44,880 My set if let's say my set only has four and five and I say hey is my set. 72 00:06:45,000 --> 00:06:47,660 Is that a subset of your set. 73 00:06:47,910 --> 00:06:58,440 And I print this if I click Run it's true my set is a subset that is it's inside of the circle of your 74 00:06:58,500 --> 00:07:01,710 set because four and five is inside of it. 75 00:07:01,740 --> 00:07:10,700 So my set the entirety of my set is inside of this other set which we call a subset. 76 00:07:10,910 --> 00:07:16,880 On the other hand we also have this idea of superset. 77 00:07:16,880 --> 00:07:27,810 So if I do instead of is subset is superset I'll get false because while my set is not a superset it 78 00:07:27,810 --> 00:07:29,760 doesn't encompass your set. 79 00:07:29,760 --> 00:07:31,990 It's the other way around. 80 00:07:32,490 --> 00:07:36,870 Your set is a superset of my set 81 00:07:40,000 --> 00:07:47,980 because your set encompasses everything that my set has which is four and five homeboy. 82 00:07:48,060 --> 00:07:48,930 That was a lot. 83 00:07:48,930 --> 00:07:53,030 And you're asking yourself there is no way I'm going to memorize any of that. 84 00:07:53,490 --> 00:07:54,340 Well good. 85 00:07:54,360 --> 00:07:56,910 I don't memorize any of this either. 86 00:07:57,210 --> 00:08:04,530 As a matter of fact I usually go to the Python documentation or just google around and because I know 87 00:08:04,530 --> 00:08:11,400 sets exist if I ever want to compare let's say two sets I know to just go here and find the tool that 88 00:08:11,460 --> 00:08:12,180 I want. 89 00:08:12,180 --> 00:08:15,540 That's the cue of a programmer that I keep mentioning over and over. 90 00:08:15,540 --> 00:08:16,900 It's not memorization. 91 00:08:17,040 --> 00:08:20,600 It's the ability to know that there's tools that you can use. 92 00:08:20,700 --> 00:08:22,690 And being able to Google for them. 93 00:08:22,800 --> 00:08:28,080 I know it doesn't sound exciting because in movies you see everybody typing super fast encoding everything 94 00:08:28,110 --> 00:08:31,350 but that's just not real life in real life. 95 00:08:31,350 --> 00:08:37,500 You just google around find solutions because by now you know what sets are you know what sets can do 96 00:08:37,800 --> 00:08:42,980 so that you can google for methods that are appropriate to your problem. 97 00:08:43,110 --> 00:08:44,600 I'll see you in the next one by. 9460

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.