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These are the user uploaded subtitles that are being translated: 1 00:00:00,850 --> 00:00:01,890 Welcome back. 2 00:00:01,900 --> 00:00:05,970 Let's talk about our next data type and it's a big one. 3 00:00:06,070 --> 00:00:09,830 A very very useful one. 4 00:00:09,840 --> 00:00:18,290 It's called list and list is an ordered sequence of objects that can be of any type. 5 00:00:19,800 --> 00:00:22,820 So you can think of them as strings right. 6 00:00:22,830 --> 00:00:30,750 We had strings previously that we learned about except that each sequence of this string well was was 7 00:00:30,750 --> 00:00:36,310 a string was a letter or a number wrapped in quotation marks lists. 8 00:00:36,320 --> 00:00:39,410 On the other hand looks something like this. 9 00:00:39,620 --> 00:00:47,810 Let's say we create a variable ally and list we denote with square brackets and inside of these square 10 00:00:47,810 --> 00:00:50,660 brackets we can have different objects. 11 00:00:50,660 --> 00:00:55,300 So for example we can have one two three four five. 12 00:00:55,340 --> 00:01:07,820 We can also have let's say ally 2 AND THIS IS GOING TO HAVE A B C and it can have any collection of 13 00:01:07,820 --> 00:01:17,690 items that we want we can even mix and match and say that we have one two then a then maybe even the 14 00:01:17,690 --> 00:01:30,370 Boolean value true so all of these are lists now lists are extremely important and in other programming 15 00:01:30,370 --> 00:01:35,010 languages you might have heard the word arrays. 16 00:01:35,170 --> 00:01:43,440 So in Python lists are a form of array and later on when we get into the modules section of the course 17 00:01:43,740 --> 00:01:50,220 we will talk about the difference between lists and arrays but if you are coming from a different programming 18 00:01:50,220 --> 00:01:59,760 background then lists are like arrays in your language a collection of items Now the neat thing about 19 00:01:59,760 --> 00:02:04,880 lists is that it's the first data structure that we're learning now. 20 00:02:04,950 --> 00:02:08,430 What is a data structure. 21 00:02:08,430 --> 00:02:12,720 Data structure is a very important concept in programming languages. 22 00:02:12,720 --> 00:02:22,590 It's a way for us to organize information and data into let's say a folder or a cupboard or a box so 23 00:02:22,590 --> 00:02:27,240 that these data structures can be used with different pros and cons. 24 00:02:27,240 --> 00:02:34,200 For example you have a fridge where you store your food and fridges are really really good at putting 25 00:02:34,380 --> 00:02:41,010 your food inside keeping it cold and then taking it out or you might have a backpack a backpack is really 26 00:02:41,010 --> 00:02:45,870 really good to stuff everything in there but when you're looking for things in a backpack it's really 27 00:02:45,870 --> 00:02:46,520 really hard. 28 00:02:46,890 --> 00:02:54,090 So you can think of data structures similar to that a container around your data that has different 29 00:02:54,090 --> 00:02:56,470 pros and cons of accessing that data. 30 00:02:56,490 --> 00:03:02,230 Removing that data writing data but that's something we'll get into a little bit later. 31 00:03:02,250 --> 00:03:10,920 The key here is that the square brackets allow us to contain information and data like strings integers 32 00:03:11,160 --> 00:03:15,730 floats if we want to bullying us into a contained fashion. 33 00:03:15,870 --> 00:03:17,850 So let's think of a good example here. 34 00:03:17,880 --> 00:03:25,950 What if we had a shopping cart let's say where Amazon here and then Amazon has the Amazon shopping cart 35 00:03:26,600 --> 00:03:29,590 and then here we can collect different things that we want. 36 00:03:29,760 --> 00:03:31,710 Maybe we collect some. 37 00:03:31,710 --> 00:03:34,470 I don't know notebooks and you know what. 38 00:03:34,530 --> 00:03:39,380 Let's get some gadgets let's get some maybe some sunglasses. 39 00:03:39,600 --> 00:03:47,990 We can add different items here different strings different data into this cart and now just like we 40 00:03:47,990 --> 00:03:53,750 saw in strings we can access the Amazon cart in different ways. 41 00:03:53,770 --> 00:04:02,230 For example I can access it again with square brackets and simply say I want to item zero so fine print 42 00:04:02,230 --> 00:04:07,760 here and do Amazon cart look at that. 43 00:04:07,800 --> 00:04:08,910 I get notebooks. 44 00:04:08,910 --> 00:04:14,520 The second item I get sunglasses. 45 00:04:14,580 --> 00:04:16,140 What about the third item 46 00:04:18,990 --> 00:04:20,370 no list. 47 00:04:20,430 --> 00:04:25,070 Index out of range but this should make sense now. 48 00:04:25,100 --> 00:04:31,150 This is a list where we're accessing the index of but it only contains two items. 49 00:04:31,150 --> 00:04:35,790 So if we're going 0 1 to the third item nothing exists. 50 00:04:35,800 --> 00:04:39,000 So our program says if that doesn't work you're doing something wrong. 51 00:04:40,300 --> 00:04:47,530 And just like strings these list items are in memory in their separate bookshelf. 52 00:04:47,530 --> 00:04:49,500 Right but one right next to each other. 53 00:04:49,510 --> 00:04:52,960 So we can go 0 1 2 3 4 5. 54 00:04:52,990 --> 00:04:56,210 So on and so forth until the list ends. 55 00:04:56,410 --> 00:04:56,870 All right. 56 00:04:56,920 --> 00:05:00,810 Let's learn about lists a lot more in the next video by. 5701

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