1 00:00:00,540 --> 00:00:07,050 Hello and welcome to this lecture, where we are going to start with the implementation of their genetic 2 00:00:07,050 --> 00:00:15,060 algorithm to solve deterrence parts problem, we already have this Google CoLab file. 3 00:00:15,480 --> 00:00:23,310 If you were new to Google collab, you just need to follow the link, which is available in the class 4 00:00:23,310 --> 00:00:28,260 materials and to make changes are to run this file. 5 00:00:28,620 --> 00:00:35,430 You need to click on file, save a copy drive when you click this link. 6 00:00:35,700 --> 00:00:45,300 A copy of this notebook will be made on your own Google Drive, so you must have a Google account and 7 00:00:45,300 --> 00:00:48,660 you also needs to be connected to it. 8 00:00:49,080 --> 00:00:56,700 The Google collab is very useful because we don't need to install anything in our old machine. 9 00:00:57,000 --> 00:01:06,570 We can type the code using the browser and we'll click Connect to connect to the Google servers, and 10 00:01:06,570 --> 00:01:09,720 now we'll open a new set of codes. 11 00:01:10,110 --> 00:01:20,520 Clicking this button here The goal of this lecture is to build the product glass in order to represent 12 00:01:20,520 --> 00:01:24,540 our problem, as we saw last lecture. 13 00:01:24,870 --> 00:01:33,000 We have a set of 14 products and each product has a name. 14 00:01:33,450 --> 00:01:40,510 This base that the product occupies in the truck, and also this sales price. 15 00:01:40,890 --> 00:01:46,980 And now we need the wage who represents each one of these products. 16 00:01:47,400 --> 00:01:51,810 And the best way to do that is to create a class. 17 00:01:52,170 --> 00:02:01,230 This is a concept of object oriented programming, and if you were new to this technology, don't worry, 18 00:02:01,230 --> 00:02:09,210 because we will implement all step by step and later on we will perform some tests. 19 00:02:09,600 --> 00:02:13,470 Less great, the class products. 20 00:02:14,370 --> 00:02:24,630 And in order to build a class in Python, we need to define this function, which is called INITS. 21 00:02:24,930 --> 00:02:33,750 This is a kind of system, their function that will be called when we create the objects and it will 22 00:02:33,750 --> 00:02:36,780 receive as a parameter self. 23 00:02:37,110 --> 00:02:41,910 This is a system that are parameter that you need is just sans. 24 00:02:42,360 --> 00:02:44,550 So that's Python language. 25 00:02:44,790 --> 00:02:53,430 We understands that the variables that we are going to create later will be associated with this class. 26 00:02:54,120 --> 00:03:03,300 Let's sans the main parameter, this space and also the price as we saw in this light. 27 00:03:03,750 --> 00:03:11,700 Now we need to create some attributes and in order to do that, we need to use the word self. 28 00:03:12,160 --> 00:03:20,910 I will create a new attribute called name, which will be equal should the name parameter that we are 29 00:03:20,910 --> 00:03:21,390 going to. 30 00:03:22,020 --> 00:03:30,330 Later on, I will create on larger attributes safe space equals space. 31 00:03:30,480 --> 00:03:37,620 This parameter here self Dot's price equals price. 32 00:03:38,100 --> 00:03:46,230 We are creating the attributes which are related to the concepts of object oriented programming. 33 00:03:46,740 --> 00:03:53,760 Let's create this glass and now it will be easier to understand these variables. 34 00:03:54,090 --> 00:03:56,360 Let's create product. 35 00:03:56,370 --> 00:04:05,130 One equals let's go the name of the class with the find the here and take a look at that. 36 00:04:05,130 --> 00:04:10,800 We can send three parameters namespace and price. 37 00:04:11,040 --> 00:04:16,680 As I said before, the parameters self is not used here. 38 00:04:16,890 --> 00:04:22,560 It's a kind of an internal process of Python programming language. 39 00:04:22,890 --> 00:04:35,700 Let's suppose we want to represent a refrigerator a this size zero point seven five one and the price 40 00:04:35,700 --> 00:04:39,180 nine nine nine point nine. 41 00:04:39,570 --> 00:04:45,660 It is the representation of this first product, refrigerator a. 42 00:04:45,930 --> 00:04:54,510 We can run these codes and now we can take a look at the attributes that we defined the here. 43 00:04:54,720 --> 00:04:58,770 We can type B1 dots name. 44 00:04:59,370 --> 00:05:06,000 Run this code, we can say the name of the product refrigerator, eh? 45 00:05:06,330 --> 00:05:17,070 Just to better understand when we call this glass, these in needs function will also be codes and then 46 00:05:17,490 --> 00:05:20,220 we sends this parameter. 47 00:05:20,520 --> 00:05:21,480 Should the name. 48 00:05:21,840 --> 00:05:25,950 And it will be copied should the attribute of the glass. 49 00:05:26,430 --> 00:05:29,400 Then we send this space. 50 00:05:29,880 --> 00:05:32,120 Should this section two reports. 51 00:05:32,340 --> 00:05:36,030 And finally, we copy this value. 52 00:05:36,270 --> 00:05:43,020 Should these parameter and then we associate with the attribute of the glass. 53 00:05:43,380 --> 00:05:47,340 We can also take a look at the other parameters. 54 00:05:48,150 --> 00:05:48,570 One. 55 00:05:48,870 --> 00:05:50,070 But space? 56 00:05:50,400 --> 00:05:53,040 And B word dot price. 57 00:05:53,250 --> 00:06:02,220 Let's run these codes and we can see the results according to the values with sense, should the parameters. 58 00:06:02,610 --> 00:06:09,030 We can also create products show equals products. 59 00:06:09,390 --> 00:06:12,690 Let's Typekit the name of the product. 60 00:06:12,930 --> 00:06:26,160 The first barometer cell phone this space zero point one two three four five zero eight nine nine and 61 00:06:26,160 --> 00:06:26,970 the price. 62 00:06:27,870 --> 00:06:31,230 One line nine points twelve. 63 00:06:31,440 --> 00:06:35,760 It is the representation of this cell phone here. 64 00:06:36,270 --> 00:06:47,400 Now we can take a look at the values just to make sure feature, but the main feature dot space feature 65 00:06:47,700 --> 00:06:48,960 dot price. 66 00:06:49,560 --> 00:06:51,760 Let's create the object. 67 00:06:51,790 --> 00:07:00,660 Be sure we can take a look at the values which are the same, which is specified as a parameter. 68 00:07:01,020 --> 00:07:09,600 Take a look here that as we have a very small number, it was sports in scientific notation. 69 00:07:09,900 --> 00:07:19,080 Just to recap, first, we need to build the glass, which is the general structure, and then we can 70 00:07:19,080 --> 00:07:21,030 create the variables. 71 00:07:21,030 --> 00:07:23,520 Are the objects in this case. 72 00:07:24,030 --> 00:07:25,350 One and bit. 73 00:07:26,130 --> 00:07:36,210 Now we need a way to represent all the 14 products, and we can put all the products in the format of 74 00:07:36,210 --> 00:07:37,830 a list in by them. 75 00:07:38,230 --> 00:07:42,840 So let's create another variable products list. 76 00:07:43,320 --> 00:07:53,640 Initially, it is an empty list, and when you use open and close brackets in Python, it means that 77 00:07:53,760 --> 00:07:55,260 you are defining. 78 00:07:55,290 --> 00:08:00,330 At least now we can ods the products to this list. 79 00:08:00,780 --> 00:08:08,490 We can use the app bands Colman's and then we can just call our glass. 80 00:08:08,940 --> 00:08:20,730 Let's send the heater defers, products refrigerate or a band we need should specify the space seven 81 00:08:20,730 --> 00:08:26,970 five one and the price nine nine nine point nine. 82 00:08:27,510 --> 00:08:33,240 Then we need should do exactly the same for all other products. 83 00:08:33,630 --> 00:08:37,120 Let's sup bands this cell phone I. 84 00:08:37,220 --> 00:08:42,250 We'll just copy and paste this code here. 85 00:08:42,600 --> 00:08:49,890 Then we need to move on to the next product, according to our slides. 86 00:08:50,430 --> 00:08:56,520 The next one products TV 55 inches. 87 00:08:56,820 --> 00:09:08,280 Now let's specify the space zero point forty and the price for the trip for this six point ninety nine. 88 00:09:08,490 --> 00:09:13,830 Now we should do exactly the same for all other products. 89 00:09:14,290 --> 00:09:21,630 I we'll just paste this code here in order to have all the products in this list. 90 00:09:21,960 --> 00:09:30,120 Now we can create this variable products list and we can take a look at the values. 91 00:09:30,360 --> 00:09:37,770 If we type products list, we can see each one of the positions. 92 00:09:38,100 --> 00:09:42,180 See, that's in each position off this list. 93 00:09:42,450 --> 00:09:51,850 There is a product and you see the values we need to implement a far loop for products. 94 00:09:52,180 --> 00:09:58,770 Product is the variable grading now in product lists and we. 95 00:09:59,300 --> 00:10:03,770 Just Sprint's products, not that's name. 96 00:10:04,370 --> 00:10:09,950 Let's run these codes and we can see the name of all products. 97 00:10:10,370 --> 00:10:13,580 We can also take a look at the price. 98 00:10:14,540 --> 00:10:25,820 Let's Oxes products that price and also the space just type products, dot space. 99 00:10:26,210 --> 00:10:27,410 Run these codes. 100 00:10:27,650 --> 00:10:30,770 And finally, we can see the results. 101 00:10:31,070 --> 00:10:39,500 This is the first part of our algorithm in which we just implemented the list of products. 102 00:10:39,770 --> 00:10:46,130 And in the next lecture, we'll move on to the concepts of genetic algorithms. 103 00:10:46,520 --> 00:10:47,210 So you there?