1 00:00:00,460 --> 00:00:03,340 In this lecture, we're going to install Anaconda. 2 00:00:04,460 --> 00:00:06,360 And know how to install libraries. 3 00:00:06,900 --> 00:00:10,320 And and later we just run Jupyter Notebook. 4 00:00:10,320 --> 00:00:19,620 So in order to install Anaconda, we simply write Anaconda install and our our case is Windows. 5 00:00:19,620 --> 00:00:21,120 So our system is windows. 6 00:00:22,130 --> 00:00:25,010 We take this anaconda documentation. 7 00:00:26,930 --> 00:00:37,730 And you can see here, um, the Anaconda library explaining to you or Anaconda Anaconda website, explaining 8 00:00:37,730 --> 00:00:40,790 to you how to install Anaconda package. 9 00:00:41,510 --> 00:00:44,930 So here we need to download the package first. 10 00:00:45,800 --> 00:00:55,040 We go here and download it and you can see now it is actually installing or downloading the Anaconda 11 00:00:55,040 --> 00:00:58,310 package and later we can install it. 12 00:00:58,610 --> 00:01:05,090 Now we have to know something that of course after it is done we will install a library and there are 13 00:01:05,090 --> 00:01:06,440 many methods to do it. 14 00:01:06,470 --> 00:01:10,280 Now library packages we can use Pip install. 15 00:01:10,280 --> 00:01:11,340 This is the most common. 16 00:01:11,360 --> 00:01:13,280 However, we can use Conda. 17 00:01:13,280 --> 00:01:16,220 Also Conda install whatever the package is. 18 00:01:16,910 --> 00:01:22,250 And however, for the purpose of this course, let's keep it simple and use a pip. 19 00:01:22,850 --> 00:01:26,060 And if you run into trouble, you need to search through it. 20 00:01:26,060 --> 00:01:34,100 And basically, um, you will have a basic explanation how to solve, how to install different libraries 21 00:01:34,100 --> 00:01:37,820 that might work in one system and not work with the other. 22 00:01:37,820 --> 00:01:49,610 However, most cases Pip install is going to work fine and for our our course so now we got our, uh, 23 00:01:50,520 --> 00:01:53,310 our installer Anaconda Installer installed. 24 00:01:53,310 --> 00:01:55,650 We simply double click on it. 25 00:01:56,680 --> 00:01:57,790 And. 26 00:01:59,550 --> 00:02:08,250 We will get an image or a window that shows a like this window. 27 00:02:08,250 --> 00:02:09,330 And we simply put. 28 00:02:09,360 --> 00:02:09,810 Next. 29 00:02:09,810 --> 00:02:10,380 I agree. 30 00:02:10,410 --> 00:02:13,530 Next, it's simply as, as, as, um. 31 00:02:13,590 --> 00:02:16,020 As installing anything like a game or anything. 32 00:02:16,590 --> 00:02:19,620 And of course, I already installed it, so I'm not going to install it again. 33 00:02:19,620 --> 00:02:28,440 But if you have trouble, you just go through what's written in this documentation in in the Anaconda 34 00:02:28,440 --> 00:02:29,040 website. 35 00:02:29,070 --> 00:02:34,410 Now to install the library, you simply usually pip install the library name. 36 00:02:34,410 --> 00:02:37,920 So in case we want to install a library called Pillow. 37 00:02:38,790 --> 00:02:44,370 So Pip install and let's say of course you can see scikit learn everything. 38 00:02:44,700 --> 00:02:49,350 Um, for example, beautiful soup, something called beautiful soup. 39 00:02:52,740 --> 00:03:00,750 So we want this library and then we need to now open Anaconda. 40 00:03:02,670 --> 00:03:03,750 Anaconda prompt. 41 00:03:07,210 --> 00:03:07,930 This one. 42 00:03:13,630 --> 00:03:17,830 And simply paste it and press enter. 43 00:03:20,070 --> 00:03:25,620 So for this one I already have it installed so or already satisfied. 44 00:03:25,620 --> 00:03:28,050 If you don't have it, it will install it. 45 00:03:28,200 --> 00:03:34,650 Now, if we want to open Jupyter notebook first, we need to go to our change directory. 46 00:03:34,650 --> 00:03:37,320 We need to change our directory to our working directory. 47 00:03:37,320 --> 00:03:41,310 So we go to our working directory. 48 00:03:44,790 --> 00:03:48,510 I will just navigate to this directory. 49 00:03:49,470 --> 00:03:50,790 Our working directory. 50 00:03:59,490 --> 00:04:01,680 And basically this is my working directory. 51 00:04:01,680 --> 00:04:08,620 So we put change directory and we go through all of this link and we paste it here. 52 00:04:08,640 --> 00:04:10,680 This is my working directory. 53 00:04:11,670 --> 00:04:16,200 You press enter and now am in this working directory. 54 00:04:16,200 --> 00:04:18,360 So now I run Jupyter. 55 00:04:19,130 --> 00:04:22,060 Jupyter Notebook. 56 00:04:22,070 --> 00:04:27,020 I simply write Jupyter notebook and make it a little bit clearer. 57 00:04:34,210 --> 00:04:35,300 But it's. 58 00:04:40,680 --> 00:04:40,980 Here. 59 00:04:41,010 --> 00:04:46,760 Jupyter Notebook and you press simply press enter and it will open here. 60 00:04:46,770 --> 00:04:48,030 Jupyter Notebook. 61 00:04:48,030 --> 00:04:52,770 In order to open a Jupyter Notebook file, you just press New and Jupyter Notebook. 62 00:04:53,550 --> 00:04:56,670 And you can start writing code, for example. 63 00:04:57,120 --> 00:04:58,050 Print. 64 00:05:00,120 --> 00:05:01,710 And basically Hello world. 65 00:05:07,900 --> 00:05:11,410 And shift enter to run the the code. 66 00:05:12,360 --> 00:05:15,570 And now you have Hello World gets printed. 67 00:05:15,690 --> 00:05:19,830 Now you can also install libraries from Jupyter Notebook. 68 00:05:19,830 --> 00:05:27,480 So in order to do that, you you take this one, you just again copy it and put explanation. 69 00:05:27,480 --> 00:05:28,230 Mark. 70 00:05:30,640 --> 00:05:35,830 As you can see here, explanation Mark and Pip install and then shift and enter. 71 00:05:37,690 --> 00:05:44,110 And now it's acting as a, you know, anaconda prompt and here requirement or dissatisfied. 72 00:05:44,110 --> 00:05:46,240 The same message we got from the anaconda prompt.