1 00:00:00,000 --> 00:00:03,900 Let's go ahead and download Anaconda so we can run Jupyter 2 00:00:03,900 --> 00:00:07,100 Notebooks. So what we need to do is go to 'anaconda', 3 00:00:07,440 --> 00:00:08,610 I think it's '.com'. 4 00:00:08,970 --> 00:00:13,410 Let's not risk that. "anaconda python", and Google will now, 5 00:00:13,410 --> 00:00:15,400 or Bing because we're on Windows, that makes sense. 6 00:00:15,400 --> 00:00:16,800 It is 'anaconda com'. 7 00:00:16,800 --> 00:00:19,000 [no audio] 8 00:00:19,000 --> 00:00:22,400 So we want to go into 'Products', and let's go into our 'Individual Edition' here, 9 00:00:22,400 --> 00:00:24,600 and let's just get rid of that. 10 00:00:25,900 --> 00:00:28,000 Make your page just a touch smaller here. 11 00:00:28,140 --> 00:00:30,720 And so really all we want to do is just download this. 12 00:00:31,140 --> 00:00:35,250 And for this one, I'm going to download the 64-bit Graphical 13 00:00:35,250 --> 00:00:37,800 Installer using Python 3.7. 14 00:00:38,200 --> 00:00:41,900 So again, you can save this, scan it for viruses, and just run it. 15 00:00:42,900 --> 00:00:45,100 Okay. Anaconda is up and running. 16 00:00:45,150 --> 00:00:46,580 I'm going to install it now. 17 00:00:46,580 --> 00:00:47,900 I agree. Just me. 18 00:00:48,300 --> 00:00:51,800 Sure, I'll install it into my account. 19 00:00:52,000 --> 00:00:56,400 Now if you want to use Anaconda, you can. You can say, 'Register 20 00:00:56,400 --> 00:00:59,000 Anaconda3 as my default Python 3.7'. 21 00:01:00,000 --> 00:01:05,000 Now I've already installed Python using Python 3.8, so I want to use that. 22 00:01:05,000 --> 00:01:08,600 But if you just want to use Python this way, that's totally cool too. 23 00:01:08,680 --> 00:01:12,490 So I'm just going to go through here, and it's going to install. 24 00:01:13,400 --> 00:01:15,500 Okay. So for me that took like five minutes. 25 00:01:15,500 --> 00:01:19,300 That was a very long setup, but it is finally done. 26 00:01:19,300 --> 00:01:20,300 I'll click 'Next'. 27 00:01:20,300 --> 00:01:23,900 If you want to get a Python specific editor called PyCharm, 28 00:01:23,900 --> 00:01:25,500 you totally can. I don't. 29 00:01:25,560 --> 00:01:28,200 I use VS Code because I'm a little more full stack, and I 30 00:01:28,200 --> 00:01:32,400 like to write JavaScript, HTML, CSS, SQL, Django, all sorts of stuff. 31 00:01:34,100 --> 00:01:40,500 All right. Now that that is installed, we can go into our Anaconda3 32 00:01:40,500 --> 00:01:42,800 folder here, and go to Anaconda Navigator. 33 00:01:42,800 --> 00:01:44,600 That's the one we want. It's the Navigator. 34 00:01:44,600 --> 00:01:46,800 [no audio] 35 00:01:46,800 --> 00:01:49,600 So this is asking if I want to help Anaconda improve. 36 00:01:49,680 --> 00:01:52,020 I currently don't, but you might want to. 37 00:01:52,020 --> 00:01:53,700 Okay. And don't show again. 38 00:01:53,800 --> 00:01:57,000 And let's go back to our program back here, 39 00:01:57,800 --> 00:01:59,300 and we can see all sorts of stuff. 40 00:01:59,310 --> 00:02:01,400 Now, your screen is probably going to be a little bit bigger 41 00:02:01,410 --> 00:02:03,630 than mine, but you're going to see all sorts of stuff in here, 42 00:02:03,640 --> 00:02:06,030 and the one we're going to be using for the most part 43 00:02:06,040 --> 00:02:07,800 is going to be Notebook. 44 00:02:08,000 --> 00:02:10,300 So you're just going to want to click 'Launch' on that. 45 00:02:10,300 --> 00:02:14,000 [no audio] 46 00:02:14,000 --> 00:02:16,400 Now, what's really cool about this, is you can run Python 47 00:02:16,400 --> 00:02:17,900 right in your browser. 48 00:02:19,300 --> 00:02:23,500 So I just ran this from a standard folder, and you can traverse 49 00:02:23,500 --> 00:02:26,500 through your folders and create new Python files anywhere you like. 50 00:02:26,540 --> 00:02:30,650 So for instance, if I wanted to go to my Desktop and create 51 00:02:30,660 --> 00:02:34,190 a new Python file in here, I could. I would just go over here 52 00:02:34,200 --> 00:02:35,900 'New', 'Python 3', 53 00:02:35,900 --> 00:02:38,000 [no audio] 54 00:02:38,000 --> 00:02:43,800 and now you and I are using Jupyter Notebook on Windows, and 55 00:02:43,830 --> 00:02:46,700 we can check that this is going to work by typing something 56 00:02:46,710 --> 00:02:48,670 like, 'print("Hello World")', 57 00:02:48,680 --> 00:02:52,700 and then you can just run your cell, and it says "Hello World". 58 00:02:52,700 --> 00:02:57,690 Once you have that up and running, you successfully are using 59 00:02:57,700 --> 00:02:59,580 Python with Jupyter as well. 60 00:02:59,590 --> 00:03:01,980 We can also check to see what version of Python we're using 61 00:03:02,000 --> 00:03:06,800 by executing the command line command with an exclamation 62 00:03:06,800 --> 00:03:10,000 mark, '!py --version'. 63 00:03:10,000 --> 00:03:11,900 [no audio] 64 00:03:11,900 --> 00:03:14,200 And what this does, it says, "Hey, actually, get out of 65 00:03:14,200 --> 00:03:15,400 Python for a quick second". 66 00:03:15,490 --> 00:03:18,900 Just run this on the command line. Run 'py ---version', and this 67 00:03:18,910 --> 00:03:21,700 will give Python 3.8.2 for us. 68 00:03:21,710 --> 00:03:24,160 That's how I know what version of Python I'm using. 69 00:03:24,260 --> 00:03:27,290 At any point in time, you can always save your file. 70 00:03:27,300 --> 00:03:28,370 You can rename your file. 71 00:03:28,380 --> 00:03:31,310 You can do all sorts of stuff. If you ever wanted to 72 00:03:31,320 --> 00:03:33,740 you could just totally kill this kernel, 73 00:03:33,750 --> 00:03:36,020 so what you're running in this particular window is called 74 00:03:36,030 --> 00:03:38,430 a kernel, and shutdown our kernel. 75 00:03:38,430 --> 00:03:39,700 All we have to do is 'shutdown'. 76 00:03:39,700 --> 00:03:40,900 Yep, shut it down. 77 00:03:40,960 --> 00:03:43,330 And now we can see there's no kernel in here. 78 00:03:43,450 --> 00:03:46,690 But if we go back to this tab, we have a new file called 79 00:03:46,700 --> 00:03:49,100 'Untitled.ipynb' 80 00:03:49,100 --> 00:03:54,800 So that's all there is to installing Anaconda and Jupyter Notebook