All language subtitles for 015 String Indexing and Splitting-subtitle-en

af Afrikaans
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
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
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,030 --> 00:00:04,290 Hi again, in the previous lecture we talked about strings and in this lecture 3 00:00:04,290 --> 00:00:10,500 again we are going deeper into learning strings and specifically we're going to add 5 00:00:10,500 --> 00:00:16,260 indexing. Indexing is a very important concept not only with strings but 7 00:00:16,260 --> 00:00:21,150 with all the data type that we'll be looking at later such as lists, 9 00:00:21,150 --> 00:00:26,880 tuples and dictionaries, so please follow this lecture. Yeah, let's talk about 11 00:00:26,880 --> 00:00:35,070 indexing. Let me open the Python interactive session. Let me create a 13 00:00:35,070 --> 00:00:44,070 string, "Hi there!" exclamation mark and close quote. 15 00:00:44,070 --> 00:00:48,989 Now when you create a string, every string that you create Python under the hood 17 00:00:48,989 --> 00:00:57,930 what it does is it assigns a number to each or the items of your string so it 19 00:00:57,930 --> 00:01:06,780 starts from 0 so H will be assigned an index of 0 and then a 1 for I, 2 for the 21 00:01:06,780 --> 00:01:12,799 space, 3 for T, five, six seven, eight. 23 00:01:12,799 --> 00:01:18,990 So the exclamation mark character will will have an index of eight, so you would 25 00:01:18,990 --> 00:01:26,360 ask why is this useful? Well this allows you to extract certain parts from a 27 00:01:26,360 --> 00:01:33,600 string and there is a certain notation to do that you'd want to access the string. 29 00:01:33,600 --> 00:01:39,270 So in this case that's variable C holding the string, then you want to use 31 00:01:39,270 --> 00:01:44,579 square brackets so an opening square bracket and then a closing square 33 00:01:44,579 --> 00:01:49,350 bracket and inside those square brackets you pass the index of the item that you want 35 00:01:49,350 --> 00:01:58,170 to extract. Let's say I want the T character so that would be 0 1 2 3. 37 00:01:58,170 --> 00:02:05,490 I pass number 3 there as an index and that will extract for me the letter T which is 39 00:02:05,490 --> 00:02:10,800 actually a string. So you can check the type of the 41 00:02:10,800 --> 00:02:15,810 output and you'll see that that's a string, so a string is made of strings. 43 00:02:15,810 --> 00:02:22,950 You can say so. If you wanted H you'd past zero and if you wanted a lost 45 00:02:22,950 --> 00:02:28,260 character well you might have to count so one two three four five six seven 47 00:02:28,260 --> 00:02:33,330 eight. And so, and sorry including type there. 49 00:02:33,330 --> 00:02:38,880 Sorry about that! so c8 would give you the exclamation 51 00:02:38,880 --> 00:02:45,720 mark, but there's also another indexing system there that Python uses so in this 53 00:02:45,720 --> 00:02:50,519 case we had to count from the beginning to the end of the string but wouldn't it 55 00:02:50,519 --> 00:02:56,370 be useful if you had another system that lets you count from the end, so from 57 00:02:56,370 --> 00:03:00,780 right to left? Well, such a system exists and it 59 00:03:00,780 --> 00:03:08,400 starts from minus 1, so the exclamation mark would be minus 1 now that you can 61 00:03:08,400 --> 00:03:18,989 extract that with that. Minus 2 would be E, R would be minus 3 and so on up to H, so we 63 00:03:18,989 --> 00:03:25,019 have two indexing systems there which allow you to extract items depending on 65 00:03:25,019 --> 00:03:30,090 whether the items are in the beginning or near the end. Now what if you want to 67 00:03:30,090 --> 00:03:36,959 extract more than one item from a string? Let's say you want to extract Hi. 69 00:03:36,959 --> 00:03:47,090 Well there is a notation for that too, so Hi is expanding from index 0 to index 1. 71 00:03:47,090 --> 00:03:57,380 So up to here. So let's try 0 to 1. That will not work a very good, but let's see. 73 00:03:57,380 --> 00:04:05,130 So as I said this will return only H, so it doesn't return item with index 1. 75 00:04:05,130 --> 00:04:11,250 That's because splitting in Python, so we we're splitting a string here 77 00:04:11,250 --> 00:04:17,609 splitting in Python is upper bound exclusive, which means that the upper 79 00:04:17,609 --> 00:04:24,730 bounds of the split here is not included in the output and so if you want to 81 00:04:24,730 --> 00:04:33,070 include I you want to pass the index after I which is two so this is the string 83 00:04:33,070 --> 00:04:40,420 just for reference, so we extracted item with index 0 and item with index 1. 85 00:04:40,420 --> 00:04:46,770 And then the split starts right there at index 2 so it doesn't include the space. 87 00:04:46,770 --> 00:04:54,430 Just hi. If you pass 3 there, that would include the wide space as well and 89 00:04:54,430 --> 00:05:00,310 similarly you can pass like one. That will include the I and the space, there 91 00:05:00,310 --> 00:05:06,970 are also shortcuts, so if you pass zero like nothing to 3 but that is the same 93 00:05:06,970 --> 00:05:18,120 as doing 0 to 3 so it will include 0 1 & 2 and similarly if you want to extract 95 00:05:18,120 --> 00:05:24,760 there with the exclamation mark well what you'd want to do is T would 97 00:05:24,760 --> 00:05:32,919 have an index of 0 1 2 3 so 3 and then you can just pass a column there and 99 00:05:32,919 --> 00:05:38,830 execute it and that will give you There with the exclamation mark. Let's now try 101 00:05:38,830 --> 00:05:46,240 to extract R and E using negative indexing, so something to know is that 103 00:05:46,240 --> 00:05:50,200 even though we are using a negative indexing which starts from right to left 105 00:05:50,200 --> 00:05:56,530 the splitting will work from left to right which means the first index you 107 00:05:56,530 --> 00:06:05,140 want to pass is that of the first item. So R we pass minus 3 for R because 109 00:06:05,140 --> 00:06:15,300 you know we have minus 1, minus 2 and minus 3. So minus 3 for R and then we want E 111 00:06:15,300 --> 00:06:21,450 which is minus 2, but since splitting is upper bounce 113 00:06:21,450 --> 00:06:30,430 exclusive we want to pass minus one there. So let's try that, minus one, execute and yeah 115 00:06:30,430 --> 00:06:35,360 we get the correct output. That's the idea. If you didn't pass 117 00:06:35,360 --> 00:06:40,640 anything here you'd get the exclamation mark as well. So it will take a while 119 00:06:40,640 --> 00:06:45,050 until we get used to this, but with some practice you'll be able to remember 121 00:06:45,050 --> 00:06:52,010 these notations. Yeah, that's what I wanted to cover in this lecture, so this was 123 00:06:52,010 --> 00:06:58,100 about string indexing and splitting, so you split using the index that Python 125 00:06:58,100 --> 00:07:02,660 uses on the background. Yeah, I hope you enjoyed this and I'll talk to you 127 00:07:02,660 --> 00:07:05,470 later, thanks! 7544

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