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These are the user uploaded subtitles that are being translated: 1 00:00:11,540 --> 00:00:18,880 Everyone and welcome in this new video in this video, we are going to talk about Nembutal member buying, 2 00:00:18,890 --> 00:00:24,680 it is the most new laboratory to do scientific calculus in Britain. 3 00:00:26,600 --> 00:00:37,340 In this video, we are going to see how to create a matrix in Mumbai, also known as our word. 4 00:00:38,540 --> 00:00:47,060 So first, we need to import our Nampai laboratory to impose a library. 5 00:00:47,360 --> 00:00:50,910 We just need to use the input or browser. 6 00:00:51,620 --> 00:01:02,300 Then we put the name of the library and we can create an alias like NPY, for example, to have a better 7 00:01:03,200 --> 00:01:13,580 comprehension of our code later and do to not have, for example, a big library to call each time because 8 00:01:13,580 --> 00:01:14,600 it is very boring. 9 00:01:17,400 --> 00:01:21,140 Then let me show you how to create a one dimensional array. 10 00:01:21,740 --> 00:01:23,300 It is very simple. 11 00:01:23,810 --> 00:01:25,940 You need to create a variable. 12 00:01:26,750 --> 00:01:34,820 And in this variable, you put the array function from Mumbai. 13 00:01:34,880 --> 00:01:44,960 So when you call a function from a library, you need always to put the name of the library. 14 00:01:45,320 --> 00:01:54,200 Then the function because Biden is no entered object language of programmation. 15 00:01:54,560 --> 00:02:05,570 It means that each time, for example, if you want to speak about, I don't know the living room, 16 00:02:06,920 --> 00:02:12,770 you need to specify that this living room is in the house. 17 00:02:16,080 --> 00:02:23,130 So the House is here, so he is nearby and the living room is our function. 18 00:02:23,310 --> 00:02:35,640 All right, then we need to put parenthesis to put the input necessary for this function and the necessary 19 00:02:35,640 --> 00:02:42,630 inputs is a list containing some number, for example, one two three. 20 00:02:43,110 --> 00:02:46,980 And then we have created a one dimensional. 21 00:02:47,190 --> 00:02:47,550 All right. 22 00:02:48,090 --> 00:02:50,280 So it is a very simple 23 00:02:53,250 --> 00:02:58,350 membrane autonomous also to create some RNA. 24 00:03:00,430 --> 00:03:10,750 With some specificity, for example, if you want to have all number from zero to 50, you can do it 25 00:03:10,930 --> 00:03:16,850 without right manually, each number to do it. 26 00:03:16,870 --> 00:03:29,860 We can use the limited space function we need as inputs to tell to the function that we want to start 27 00:03:30,220 --> 00:03:35,150 from zero to 15. 28 00:03:36,430 --> 00:03:38,890 And here we want. 29 00:03:40,480 --> 00:03:40,960 One. 30 00:03:43,240 --> 00:03:43,960 Iteration. 31 00:03:46,860 --> 00:03:49,740 So it is very simple to create. 32 00:03:50,070 --> 00:03:52,370 Some are using Nampai. 33 00:03:52,530 --> 00:04:05,180 And here we can see that this number are not integral because this point means that all these no oh 34 00:04:05,280 --> 00:04:05,880 fruits. 35 00:04:06,330 --> 00:04:15,930 So it means that they are no which member after the point they are decimal number. 36 00:04:16,560 --> 00:04:25,170 If you want to have, for example, integral member for indexing something or for any other reason, 37 00:04:25,800 --> 00:04:28,560 you can use the Arends function. 38 00:04:31,680 --> 00:04:39,960 And this time you just have to put the thought and the stop, because we don't need the specify the 39 00:04:39,960 --> 00:04:46,080 number of iteration because we take only the integer number. 40 00:04:46,200 --> 00:04:50,010 So for example, if I want exactly the same thing 41 00:04:53,100 --> 00:05:02,370 with the orange function, we just have to put the start and the stop, and we have exactly the same 42 00:05:02,370 --> 00:05:11,180 array instead of this array containing fruit number. 43 00:05:11,190 --> 00:05:16,520 So decimal number and this all contain integer number. 44 00:05:16,530 --> 00:05:26,340 So it is relatively important to understand the difference between these two type of array, then. 45 00:05:26,700 --> 00:05:33,480 Let me show you how to create a two dimensional are ready to do it. 46 00:05:34,170 --> 00:05:40,590 We use exactly the same syntax as before, so we call a function. 47 00:05:42,350 --> 00:05:50,840 And here, if we want to create a two dimensional array, we don't need to put a list. 48 00:05:51,080 --> 00:05:54,650 But we need to put a list of lists. 49 00:05:57,170 --> 00:06:06,860 So here I create my right and then I need to put one list by rote. 50 00:06:06,980 --> 00:06:16,790 So if I want to create one two three four the first row, then I need to put a comma to separate or 51 00:06:16,790 --> 00:06:17,120 list. 52 00:06:53,260 --> 00:06:53,800 And then. 53 00:06:55,280 --> 00:07:02,360 We can print it as and as we can see we have three, zero and three column. 54 00:07:02,540 --> 00:07:05,600 So it is a two dimensional. 55 00:07:05,630 --> 00:07:06,020 All right. 56 00:07:06,560 --> 00:07:17,180 But usually we don't need to create our right because this array will be all data and we don't need 57 00:07:17,180 --> 00:07:18,280 to create the data. 58 00:07:18,290 --> 00:07:20,220 We need to import it MIT. 59 00:07:20,360 --> 00:07:26,420 But it's very important to understand how to create an array because sometimes it's very helpful. 60 00:07:28,400 --> 00:07:33,230 Now let me show you how to create some specific arrays. 61 00:07:34,820 --> 00:07:38,750 First, we are going to see how to create a new matrix. 62 00:07:39,530 --> 00:07:47,540 It is a very simple matrix because it is just a matrix with only zero. 63 00:07:50,120 --> 00:07:56,840 And to create it, we're going to use the zero function from Nampai. 64 00:07:58,170 --> 00:08:05,130 So we opened the barn to this and in the barn to this, we need to put the shape of the mattress that 65 00:08:05,130 --> 00:08:05,520 we want. 66 00:08:06,870 --> 00:08:16,740 So if we want a matrix with three rows and five columns, for example, we just have to put three five 67 00:08:17,130 --> 00:08:22,170 and we will have this matrix. 68 00:08:23,940 --> 00:08:29,110 Then we can create an identity matrix and then don't see. 69 00:08:29,160 --> 00:08:33,780 Matrix is one of the most no matrix because it is just. 70 00:08:35,740 --> 00:08:45,070 A clear metrics, so the matrix with the same number of rural and the same number of columns. 71 00:08:46,840 --> 00:08:50,890 This matrix is full of Zebo veriyor. 72 00:08:51,400 --> 00:08:57,130 Only one in all the coefficient in the diagonal. 73 00:08:58,940 --> 00:09:07,460 So we just need to put one number here, because a 09:22 matrix is a matrix. 74 00:09:07,640 --> 00:09:10,250 So if? 75 00:09:13,430 --> 00:09:14,270 I print it. 76 00:09:15,200 --> 00:09:16,280 So here is a. 77 00:09:18,860 --> 00:09:24,160 Now I will show you how to create a once matrix. 78 00:09:24,170 --> 00:09:26,790 So a matrix full or one. 79 00:09:26,840 --> 00:09:33,650 So it wasn't exactly with the same syntax as the further newer matrix. 80 00:09:41,330 --> 00:09:51,800 Now we need to learn how to handle some metrics or subtract some metrics. 81 00:09:52,610 --> 00:10:00,380 And it is very easy because you just need to do it like with no. 82 00:10:01,400 --> 00:10:12,650 The only difference is that to add two metrics, we need that this metrics have exactly the same shape. 83 00:10:13,220 --> 00:10:18,910 For example, here we have three and five and four note metrics. 84 00:10:18,920 --> 00:10:21,260 We have exactly the same thing. 85 00:10:21,590 --> 00:10:30,260 It's really mandatory because to add two metrics, we had the coefficient by coefficient. 86 00:10:30,260 --> 00:10:38,180 So if here I put a number size, we cannot have these two metrics and python tell us. 87 00:10:41,160 --> 00:10:48,450 So to subtract to mattress, we do exactly the same. 88 00:10:55,500 --> 00:11:04,530 And now we are going to see how to do this color multiplication in Python. 89 00:11:05,250 --> 00:11:12,690 It's government application is a very complex name for a very easy thing, which is only. 90 00:11:14,890 --> 00:11:24,670 How to multiply all of the coefficient of the matrix by a number, for example, if I take one and I 91 00:11:24,670 --> 00:11:29,080 want to multiply in all the coefficient by 10, for example. 92 00:11:32,030 --> 00:11:42,290 This is a color multiplication, so in this video, we have seen a lot of things, so I only invite 93 00:11:42,290 --> 00:11:46,080 you to play with this function to Winnie Muster. 94 00:11:46,130 --> 00:11:56,000 It's because Master Array is very mandatory to create your own project in algorithmic trading. 9187

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