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These are the user uploaded subtitles that are being translated: 1 00:00:05,490 --> 00:00:09,770 Welcome back everyone to the section on Python object and data structure basics. 2 00:00:11,150 --> 00:00:14,900 So in this section of the course we're going to start off by discussing basic data types. 3 00:00:15,730 --> 00:00:17,590 And these are your basic building blocks of code. 4 00:00:17,620 --> 00:00:22,420 When constructing larger pieces of code and we're going to quickly discuss all the possible data types 5 00:00:22,420 --> 00:00:26,590 that we're going to talk about in this section and then we'll have lectures that go into a lot more 6 00:00:26,590 --> 00:00:28,270 detail about each one. 7 00:00:28,270 --> 00:00:30,990 So don't worry about memorizing all the information shown here. 8 00:00:31,000 --> 00:00:34,930 This is more just a quick overview and there's going to be a lecture on each of these data types as 9 00:00:34,930 --> 00:00:36,400 we go on throughout this section. 10 00:00:37,980 --> 00:00:42,630 So the data types that we're going to be discussing are the following in this table here we have the 11 00:00:42,630 --> 00:00:44,640 name of the data type on the left hand column. 12 00:00:44,640 --> 00:00:46,380 And then there's the type. 13 00:00:46,380 --> 00:00:51,930 So what that means is just Python has an internal key word for this name and you're not going to get 14 00:00:52,200 --> 00:00:56,950 the whole word integer the whole word floating point instead Python has kind of a shortened keyword. 15 00:00:57,060 --> 00:01:03,900 So that's the second column such as I.A. for integer SDR for strings etc. then we have the description 16 00:01:03,900 --> 00:01:07,650 column and that's just going to be what the actual description of the data type is. 17 00:01:07,650 --> 00:01:09,330 So let's quickly go through these. 18 00:01:09,360 --> 00:01:14,550 We start off with integers and those are just basic whole numbers such as three three hundred two hundred. 19 00:01:14,670 --> 00:01:16,380 Then we have floating point numbers. 20 00:01:16,470 --> 00:01:20,960 And those are numbers of a decimal point 2.3 4.6 hundred point zero. 21 00:01:21,150 --> 00:01:25,530 And notice here that if even if you have a hundred point zero that still counts as a floating point 22 00:01:25,530 --> 00:01:28,970 number that's no longer an integer because it has a decimal point. 23 00:01:29,130 --> 00:01:34,080 Then after that we have strings and strings are in ordered sequence of characters. 24 00:01:34,140 --> 00:01:39,600 You can think of these as just kind of words but you should also know they can be numbers as well as 25 00:01:39,810 --> 00:01:41,940 foreign characters inside of a string. 26 00:01:41,940 --> 00:01:46,620 The main thing that denotes a string is that it either has double quotes or single quotes. 27 00:01:46,620 --> 00:01:50,070 Here we can see we have hello and double quotes Sammy in single quotes. 28 00:01:50,070 --> 00:01:53,420 We have the digits of 2000 inside double quotes. 29 00:01:53,520 --> 00:01:54,540 That makes a string. 30 00:01:54,540 --> 00:01:57,550 It's no longer just an integer because it has double quotes around it. 31 00:01:57,780 --> 00:02:01,370 And then you can also see we have some Japanese characters inside the quotes. 32 00:02:01,710 --> 00:02:08,190 Then we come to data structures and data structures are a little more specialized in basic data types 33 00:02:08,190 --> 00:02:14,370 and data objects because they can actually hold data objects in some sort of sequence or in some sort 34 00:02:14,370 --> 00:02:15,620 of mapping. 35 00:02:16,110 --> 00:02:19,640 So here we have lists and these are an ordered sequence of objects. 36 00:02:19,680 --> 00:02:24,210 Here we can see that we've been able to use square brackets and commas to you have a sequence of other 37 00:02:24,210 --> 00:02:27,470 objects such as the number 10 the string hello. 38 00:02:27,510 --> 00:02:33,220 And then the number two hundred point three dictionaries are another data structure that can store other 39 00:02:33,220 --> 00:02:36,940 data types except in this case instead of having an ordered sequence. 40 00:02:37,090 --> 00:02:39,190 They have unordered key value pairs. 41 00:02:39,250 --> 00:02:42,630 And we'll be discussing in a lot more detail how dictionaries work. 42 00:02:42,730 --> 00:02:48,400 But here we can see that we have a key than a colon and then a value and it's denoted by curly braces 43 00:02:48,490 --> 00:02:53,890 as far as if it's a dictionary instead of just being an on a list which has square brackets then we 44 00:02:53,890 --> 00:02:59,010 can have something like name and then colon and then the value of that name is Franki. 45 00:02:59,140 --> 00:03:04,260 Again we'll be discussing dictionaries in a lot more detail after dictionaries we have tuples sometimes 46 00:03:04,260 --> 00:03:08,380 are also called tuples and these are ordered immutable sequences of objects. 47 00:03:08,380 --> 00:03:13,570 They look a lot like lists except they have parentheses and they're immutable meaning you cannot change 48 00:03:13,870 --> 00:03:16,150 an object that's already in that sequence. 49 00:03:16,150 --> 00:03:17,970 So we'll be discussing what immutable means. 50 00:03:17,980 --> 00:03:23,320 And a lot more detail when discussing tuples than we have sets which are an unordered collection of 51 00:03:23,320 --> 00:03:24,730 unique objects. 52 00:03:24,730 --> 00:03:27,310 And again we'll talk about that and a lot more detail there. 53 00:03:27,340 --> 00:03:30,040 A little similar to a dictionary but they don't have key value pairs. 54 00:03:30,040 --> 00:03:33,090 Instead they're just unique objects in an ordered collection. 55 00:03:33,100 --> 00:03:35,000 So you don't have that colon key value pair. 56 00:03:35,260 --> 00:03:37,410 Again we'll discuss it in more detail later on. 57 00:03:37,630 --> 00:03:43,030 Then finally we'll talk about booleans which are just logical value values indicating true or false. 58 00:03:43,030 --> 00:03:47,120 Notice how we have capital T in capital F that sort of syntax is necessary for Python. 59 00:03:47,410 --> 00:03:48,830 So those are all the basic data types. 60 00:03:48,860 --> 00:03:53,260 Again don't worry if you didn't understand any of this or didn't want to memorize any of this we're 61 00:03:53,260 --> 00:03:57,160 going to have a lecture on Basically each of these topics in a lot more detail and show you how you 62 00:03:57,160 --> 00:03:58,690 can use them to write your own code. 63 00:03:59,520 --> 00:04:00,880 OK let's get started. 64 00:04:00,880 --> 00:04:01,840 I'll see you at the next lecture. 6949

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