1 00:00:01,180 --> 00:00:01,930 Hey, guys. 2 00:00:02,170 --> 00:00:07,600 In this lecture, I'm going to show you how to set up your development environment so that you can follow 3 00:00:07,600 --> 00:00:08,680 along in these courses. 4 00:00:10,780 --> 00:00:13,150 First, let's talk about operating systems. 5 00:00:13,990 --> 00:00:16,870 The three big ones are Windows, Linux and Mac. 6 00:00:17,740 --> 00:00:21,430 Most, but not all, of my courses are part of the deep learning series. 7 00:00:21,970 --> 00:00:28,240 Eventually, the deep learning models were going to build will become so complex that we will need specialized 8 00:00:28,240 --> 00:00:31,630 libraries like Ciano and TensorFlow to implement them. 9 00:00:32,439 --> 00:00:37,480 Now, as of today, piano and TensorFlow are not officially supported on windows. 10 00:00:38,440 --> 00:00:43,660 So if you are interested in deep learning, you will discover pretty soon that there is not much you 11 00:00:43,660 --> 00:00:50,600 can do without a ton of work, even working with non GPU enabled libraries like Nampai and Mat Plot. 12 00:00:50,620 --> 00:00:57,160 Lib can be a challenge, but these are at least possible on windows if you really must use windows and 13 00:00:57,160 --> 00:01:02,350 have your Python environment inside windows and you don't want to try the virtual machine method, which 14 00:01:02,350 --> 00:01:03,760 I'm going to discuss next. 15 00:01:04,239 --> 00:01:07,360 Then one good library I know of is called Anaconda. 16 00:01:08,530 --> 00:01:13,180 You can get Anaconda at Continuum i o slash downloads. 17 00:01:14,230 --> 00:01:20,110 I can't vouch for this 100 percent because I haven't used it myself, but I've known others who have 18 00:01:20,110 --> 00:01:21,400 found it at least usable. 19 00:01:22,300 --> 00:01:24,040 Now I'm telling you this from experience. 20 00:01:24,490 --> 00:01:30,130 I've worked with a ton of clients, one on one and python development, especially when it involves 21 00:01:30,130 --> 00:01:33,730 the Nampai side stack is not easy when it's on windows. 22 00:01:34,480 --> 00:01:39,730 The method I'm going to describe using virtual machines will work on most modern computers. 23 00:01:39,730 --> 00:01:46,180 And as of right now, if you want to do any deep learning stuff, whether that be with piano or TensorFlow, 24 00:01:46,540 --> 00:01:48,010 you cannot do this on windows. 25 00:01:48,460 --> 00:01:54,700 With that out of the way, I'm going to quickly go over which courses I've released so far or plan to 26 00:01:54,700 --> 00:01:58,630 release in the near future that do not require Phyno and TensorFlow. 27 00:01:58,960 --> 00:02:00,880 So it's possible to do on Windows. 28 00:02:01,840 --> 00:02:06,310 With this in mind, you can decide if you want to install a virtual machine or not. 29 00:02:06,640 --> 00:02:11,590 But I would highly recommend it because it's free and everyone can follow the same instructions. 30 00:02:12,740 --> 00:02:19,070 So we've got linear regression in Python logistic regression in Python, which are the prerequisites 31 00:02:19,070 --> 00:02:20,450 to deep learning part one. 32 00:02:21,410 --> 00:02:26,660 And we have deep learning in Python, part one, which is mostly in Nampai and a little bit of TensorFlow. 33 00:02:27,530 --> 00:02:32,300 We've got easy natural language processing in Python data analytics. 34 00:02:32,720 --> 00:02:38,750 Ask you all for newbies, beginners and marketers, cluster analysis and unsupervised machine learning 35 00:02:38,750 --> 00:02:41,990 in Python and unsupervised machine learning. 36 00:02:42,300 --> 00:02:44,180 Hidden Markov models in Python. 37 00:02:44,660 --> 00:02:46,790 This course is going to have a little bit of piano in it. 38 00:02:47,150 --> 00:02:52,520 Next, here are some courses that depend heavily upon piano or TensorFlow or both. 39 00:02:53,900 --> 00:02:59,870 We've got practical deep learning and piano and TensorFlow convolutional neural networks and Python 40 00:03:00,380 --> 00:03:06,560 unsupervised deep learning in Python and recurrent neural networks in Python, as you can see, a lot 41 00:03:06,560 --> 00:03:10,280 of interesting and complex stuff can be done in piano and TensorFlow. 42 00:03:11,300 --> 00:03:11,780 All right. 43 00:03:11,780 --> 00:03:15,590 So hopefully I've convinced you that using a virtual machine is a good idea. 44 00:03:16,310 --> 00:03:22,520 Windows is a great operating system, but it tends to not be as developer friendly since it tries to 45 00:03:22,520 --> 00:03:23,780 be more consumer friendly. 46 00:03:24,410 --> 00:03:27,410 Note that if you're on a Mac, this probably isn't necessary. 47 00:03:27,800 --> 00:03:34,790 You can just install Nampai say by Panda's Matt Plot, Lib Piano and TensorFlow using easy installer 48 00:03:34,790 --> 00:03:35,120 pip. 49 00:03:36,260 --> 00:03:42,350 Sometimes this stuff can fail depending on the many combinations of versions of each thing that are 50 00:03:42,350 --> 00:03:48,620 possible, but usually just Googling your error message will lead you to the right solution on StackOverflow. 51 00:03:48,890 --> 00:03:55,970 If you're on a Mac, you can just do pseudo pip install Nampai say by a Python Panda's map plot live 52 00:03:55,970 --> 00:03:56,570 in Seattle. 53 00:03:56,930 --> 00:04:01,250 Alternatively, you can use easy install, which might have a more recent version. 54 00:04:01,970 --> 00:04:08,510 You may need to use easy install to install PIP itself, which is just too easy and stop it if you want 55 00:04:08,510 --> 00:04:09,770 to install TensorFlow. 56 00:04:10,160 --> 00:04:12,620 Just copy the command at TensorFlow dot org. 57 00:04:12,800 --> 00:04:16,970 It's just a pip install command that points to their custom installation location. 58 00:04:17,540 --> 00:04:22,670 I won't put it here, since it corresponds to a specific version, and that version may become out of 59 00:04:22,670 --> 00:04:24,080 date by the time you watch this. 60 00:04:24,680 --> 00:04:28,880 That is good news because the people working on TensorFlow are updating it all the time. 61 00:04:29,450 --> 00:04:34,550 All right, so if you've made it this far, that means you want to install a virtual machine with Linux 62 00:04:34,550 --> 00:04:40,070 on Windows or that you're already using Linux and you want to know what commands to use to install these 63 00:04:40,070 --> 00:04:40,640 libraries. 64 00:04:41,600 --> 00:04:48,530 We are going to need two things to start for this tutorial VirtualBox and a lightweight version of Ubuntu. 65 00:04:49,100 --> 00:04:51,440 I would recommend Ubuntu or Lubuntu. 66 00:04:51,920 --> 00:04:58,790 I'm going to use the 64 bit version of Ubuntu for this tutorial, so download these first and then returned 67 00:04:58,790 --> 00:04:59,600 to the tutorial. 68 00:05:00,260 --> 00:05:06,770 All right, so now that you've got VirtualBox installed, we're going to create a new machine with 64 69 00:05:06,770 --> 00:05:07,730 bit lubuntu. 70 00:05:09,200 --> 00:05:12,110 So you want to hit new type in a name for your machine. 71 00:05:17,910 --> 00:05:19,740 And this stuff is already correct. 72 00:05:22,380 --> 00:05:23,640 I'm going to choose a. 73 00:05:25,210 --> 00:05:29,800 Two gigs of memory, you can choose more memory if your computer has more memory. 74 00:05:33,680 --> 00:05:35,870 I'm going to create a virtual hard disk now. 75 00:05:39,260 --> 00:05:44,030 I'm going to choose dynamically allocated and eight gigs is good enough for this example. 76 00:05:50,070 --> 00:05:52,560 All right, so I'm going to go to settings. 77 00:05:53,820 --> 00:05:55,170 If we go to storage. 78 00:05:57,200 --> 00:05:58,580 You can choose. 79 00:06:05,210 --> 00:06:12,920 The ISO file that you downloaded, so I'm going to load up the Lubuntu ISO that you downloaded from 80 00:06:13,430 --> 00:06:14,270 Lubuntu Dot Net. 81 00:06:15,800 --> 00:06:17,090 All right, so hit OK. 82 00:06:19,360 --> 00:06:20,260 And it's start. 83 00:06:22,220 --> 00:06:28,610 Hey, so it's going to take you through the installation of everyone to so you want to hit install stall. 84 00:06:35,690 --> 00:06:38,630 All right, so Element two is going to take you through some prompts. 85 00:06:49,160 --> 00:06:55,400 All right, so you want to erase this and install Lubuntu, and I'm not going to check any of these 86 00:06:56,900 --> 00:06:58,370 sit continue. 87 00:07:22,940 --> 00:07:25,520 All right, so once that's done, it's going to ask you to restart. 88 00:07:25,640 --> 00:07:27,140 So just to restart now. 89 00:07:57,600 --> 00:08:03,930 All right, now that you're in the machine, what I always like to do, if you notice how this window 90 00:08:03,930 --> 00:08:13,560 is too big for my Mac window, you can make the inner window resizable by installing guest editions. 91 00:08:13,570 --> 00:08:17,760 And this also lets you do useful things like cut and paste between machines. 92 00:08:24,040 --> 00:08:25,540 So you want to open a terminal? 93 00:08:25,930 --> 00:08:29,350 You go to system tools, select Flex Terminal. 94 00:08:34,909 --> 00:08:36,740 Now, when a city into. 95 00:08:38,260 --> 00:08:39,010 That folder. 96 00:08:50,590 --> 00:08:50,930 Cool. 97 00:08:50,980 --> 00:08:58,960 So the correct command was siru dot slash v box Linux editions that run. 98 00:09:00,700 --> 00:09:04,920 Notice how there was something that failed in there, so we need to install. 99 00:09:06,790 --> 00:09:10,000 So you want to run sudo apt get update. 100 00:09:13,110 --> 00:09:16,710 And then run sudo apt get upgrade. 101 00:09:24,710 --> 00:09:32,000 So the next thing is, you want to sudo apt get install, build essential. 102 00:09:36,420 --> 00:09:44,310 All right, once you've done that, we can try to run VBox editions again, so that Sudoku. 103 00:09:45,500 --> 00:09:46,610 Dot slash. 104 00:09:50,050 --> 00:09:51,700 V-Bucks, Linux. 105 00:09:54,250 --> 00:09:58,690 All right, so everything worked this time, so we're going to restart this machine. 106 00:10:07,310 --> 00:10:11,180 All right, so now the window is only as big as I want to drag it. 107 00:10:13,610 --> 00:10:17,780 OK, so now we can install the actual data science stuff. 108 00:10:19,220 --> 00:10:26,960 So you want to open again Alex Terminal to a pseudo apt get update again. 109 00:10:35,920 --> 00:10:37,270 And you want to install. 110 00:10:39,960 --> 00:10:46,080 So it's a long list, so Python, Nampai, Python sci fi. 111 00:10:49,270 --> 00:10:54,220 Python Mat Plot Lib I Python. 112 00:10:55,750 --> 00:11:03,520 Python, PIP, Python, Dev and Python set up tools. 113 00:11:07,110 --> 00:11:07,620 Yes. 114 00:11:12,710 --> 00:11:17,300 All right, so now that that's installed, you can test it out and type in a python. 115 00:11:19,570 --> 00:11:23,140 So a python is open, import Nampai. 116 00:11:25,390 --> 00:11:30,970 Implies working in broad sci fi import pandas. 117 00:11:33,000 --> 00:11:34,300 Right, we don't have a panacea. 118 00:11:34,540 --> 00:11:37,360 We will install our next import. 119 00:11:38,140 --> 00:11:38,970 I plot lib. 120 00:11:41,670 --> 00:11:41,980 Cool. 121 00:11:42,030 --> 00:11:44,640 So we have everything we've installed so far. 122 00:11:47,250 --> 00:11:48,840 So now we're going to install 123 00:11:51,360 --> 00:11:52,560 pandas and piano. 124 00:11:55,050 --> 00:11:58,530 So that's pip install minus minus upgrade pandas, the A.. 125 00:12:06,110 --> 00:12:09,740 All right, so now we've got Fiona, the last thing we need is TensorFlow. 126 00:12:11,560 --> 00:12:18,130 To get this, you guys want to go to the TensorFlow website and just grab the latest command since they're 127 00:12:18,130 --> 00:12:19,840 updating the package all the time. 128 00:12:22,040 --> 00:12:23,420 So let's open a browser. 129 00:12:27,950 --> 00:12:32,050 Let's search for install TensorFlow. 130 00:12:48,770 --> 00:12:50,450 All right, you take this code. 131 00:12:54,870 --> 00:12:58,800 Copy it, you paste it in here. 132 00:13:02,880 --> 00:13:05,160 All right, now, you've got piano and TensorFlow. 133 00:13:06,180 --> 00:13:07,290 You can test them out. 134 00:13:08,520 --> 00:13:16,530 Go to GitHub dot com slash lazy programmer slash machine learning examples. 135 00:13:40,670 --> 00:13:46,820 All right, so you need to get if you want to check out this code with get, so let's install get. 136 00:13:57,480 --> 00:13:59,580 All right, so let's run our clone command again. 137 00:14:06,180 --> 00:14:08,100 Let's try the setpiece version. 138 00:14:17,870 --> 00:14:19,160 OK, so this one works. 139 00:14:23,870 --> 00:14:31,010 All right, so you see into machine learning examples go into and in class two. 140 00:14:31,310 --> 00:14:33,770 So this has some introductory. 141 00:14:35,200 --> 00:14:36,640 TensorFlow and the andno code. 142 00:14:37,300 --> 00:14:43,630 So just run Python Fino one Pi, since this does not require any data. 143 00:14:48,390 --> 00:14:53,100 Cool, so it seems everything is working now, let's try the TensorFlow example. 144 00:14:53,550 --> 00:14:55,020 So it's TensorFlow one. 145 00:15:01,880 --> 00:15:06,020 All right, so you want to make sure you install the correct TensorFlow. 146 00:15:06,740 --> 00:15:08,870 You want the CPU only version. 147 00:15:38,580 --> 00:15:41,670 Hopefully it just overrides the other version without any trouble. 148 00:15:43,710 --> 00:15:45,210 So let's try the example again. 149 00:15:50,720 --> 00:15:52,760 Super, so now everything is working. 150 00:15:54,140 --> 00:15:58,490 Now, if you want, there is a text editor that I highly recommend. 151 00:15:59,930 --> 00:16:02,910 It's called sublime text or. 152 00:16:06,230 --> 00:16:07,580 So you had download. 153 00:16:09,160 --> 00:16:11,740 You go to Ubuntu 64bit. 154 00:16:14,570 --> 00:16:15,470 You save this. 155 00:16:24,470 --> 00:16:26,480 And it will automatically be installed. 156 00:16:54,510 --> 00:16:59,190 All right, so now you have the exact same text editor that I use in my lectures. 157 00:17:05,220 --> 00:17:11,160 So you hope in machine learning examples, and this is all of our code.