1 00:00:05,410 --> 00:00:09,730 Welcome everyone to the section on modules and packages in this lecture. 2 00:00:09,730 --> 00:00:12,440 Don't start off by talking about pipeline with Pip. 3 00:00:12,470 --> 00:00:16,380 Install Type-I is a repository for open source. 4 00:00:16,380 --> 00:00:18,230 Third party Python packages. 5 00:00:18,330 --> 00:00:22,550 And if you've worked of other programming languages it's similar to Ruby gen's in the Ruby world. 6 00:00:22,560 --> 00:00:26,430 PH packages CPM for Perl and NPM for notes. 7 00:00:26,480 --> 00:00:33,060 Yes so far we've really only use libraries that come internally of python and these are known as the 8 00:00:33,060 --> 00:00:36,500 standard library or the built in libraries for Python. 9 00:00:36,810 --> 00:00:39,450 Things like the math library. 10 00:00:39,450 --> 00:00:43,740 Now there are many other libraries available that people have open source and shared on Type-I And these 11 00:00:43,740 --> 00:00:49,620 are also called packages and we can use Pipp install at the command line to install these external packages. 12 00:00:50,490 --> 00:00:56,190 By installing Python from Python or or by installing the Anaconda's distribution as shown earlier in 13 00:00:56,190 --> 00:00:58,350 this course you actually have already installed. 14 00:00:58,350 --> 00:01:05,390 Pip Pip is a simple way to download packages at your command line directly from the pipe repository. 15 00:01:05,580 --> 00:01:08,910 Now there are packages already created for almost any use case you can think of. 16 00:01:08,910 --> 00:01:14,820 Python is a hugely popular language and it's growing very quickly so that means if you ever want to 17 00:01:14,820 --> 00:01:20,650 work with Python with some other external use case maybe you want to make web development of Python 18 00:01:20,730 --> 00:01:25,650 so you would Google around and eventually discover that there's libraries such as Django or Flast for 19 00:01:25,650 --> 00:01:31,200 web development of Python or maybe have a more specific use case like working with PDSA of Python or 20 00:01:31,200 --> 00:01:33,920 working with Excel documentation with Python. 21 00:01:33,990 --> 00:01:38,160 In that case you can always do a quick Google search and almost always the links that come up first 22 00:01:38,220 --> 00:01:43,650 are either at the pipe pipe page for the package or the package documentation and will show you a little 23 00:01:43,650 --> 00:01:46,540 exercise of what a good google search looks like. 24 00:01:47,700 --> 00:01:52,080 So we're going to quickly do now is show you how to download and install external packages to do this 25 00:01:52,140 --> 00:01:53,280 will open up our browser. 26 00:01:53,290 --> 00:01:55,510 But we're also going to keep working at our command line. 27 00:01:55,710 --> 00:01:59,090 So remember for Windows users that means open up your command prompt. 28 00:01:59,280 --> 00:02:02,190 And for Mac OS and Linux users that means open up your terminal. 29 00:02:02,190 --> 00:02:05,320 So let's have a browser open along with our command prompt. 30 00:02:05,520 --> 00:02:12,060 OK so here I am at my command line and let's show you how to install a package that's hosted on Type-I 31 00:02:12,480 --> 00:02:14,000 something you do need to be aware of. 32 00:02:14,040 --> 00:02:18,840 Is that your firewall may block Pipp from accessing the Internet. 33 00:02:19,020 --> 00:02:23,580 So if you're on a work network or you're on a work computer you don't have full admin permissions you 34 00:02:23,580 --> 00:02:26,470 may need to check that or talk to your network administrator. 35 00:02:26,850 --> 00:02:28,500 But let's move on. 36 00:02:28,500 --> 00:02:29,450 And we're all going to do. 37 00:02:29,520 --> 00:02:36,610 Here is type p p install space and then here's where you would actually put in your package name. 38 00:02:36,660 --> 00:02:38,590 So there are a ton of packages out there. 39 00:02:38,760 --> 00:02:43,140 We're going to start with a package that you may already have installed because you've installed Anaconda 40 00:02:43,390 --> 00:02:48,870 and that's the request package which allows you to request information from web sites online. 41 00:02:48,930 --> 00:02:52,030 So this is just a general syntax of how you would download a package. 42 00:02:52,110 --> 00:02:57,840 Notice here I'm typing this directly into the command line or directly onto my terminal or command prompt 43 00:02:57,910 --> 00:02:59,700 and not actually calling Python first. 44 00:02:59,760 --> 00:03:06,330 Is a command line utility so you hit enter here and you may get the requirement already satisfied. 45 00:03:06,480 --> 00:03:10,510 Most likely if you install the anaconda you already have requests installed. 46 00:03:10,710 --> 00:03:12,970 So this is what it looks like when you already have it. 47 00:03:13,440 --> 00:03:17,960 What I'm going through now is a library that you most likely do not have yet. 48 00:03:18,060 --> 00:03:24,360 And that's the color Ramah library and it is just a bit of a silly library that allows you to print 49 00:03:24,420 --> 00:03:28,280 out colorize text at your command prompt or at your terminal. 50 00:03:28,440 --> 00:03:30,360 So type Pipp install Kalorama. 51 00:03:30,370 --> 00:03:31,640 Notice the spelling here. 52 00:03:31,890 --> 00:03:39,760 Enter And we actually already have an install because I ran this line already so we're going to do now 53 00:03:40,000 --> 00:03:44,910 is run the actual Colorada external package that we just installed. 54 00:03:45,160 --> 00:03:51,420 So what I'm going to do now is type python and let's try checking out Colorada. 55 00:03:51,510 --> 00:03:53,610 So to do this it's actually quite simple. 56 00:03:53,850 --> 00:04:03,300 All it needs to do is say from color Rahma import in it and then on the next line call in it. 57 00:04:03,300 --> 00:04:08,670 So basically is a bit of an initialization function that allows you to set up depending on what platform 58 00:04:08,670 --> 00:04:17,310 you're using and then what we can do is say from color Ramah import and what we're going to do here 59 00:04:17,310 --> 00:04:19,890 is say import for. 60 00:04:19,920 --> 00:04:26,260 So that's capital F O R E which stands for foreground and then I will create a print statement that 61 00:04:26,260 --> 00:04:29,030 says for Dot. 62 00:04:29,060 --> 00:04:40,060 And then in all caps read plus and I will just say some read text and then hit enter. 63 00:04:40,190 --> 00:04:48,230 And now you see I have a text and we can do that for a variety of colors so I can say now print for 64 00:04:49,480 --> 00:04:57,600 green plus switch to green and now it's green. 65 00:04:57,600 --> 00:05:03,240 So again just a very simple library that allows you to incorporate color directly at your command line. 66 00:05:03,240 --> 00:05:07,080 This is not a library we will ever really be using again but it's just something fun that you can play 67 00:05:07,080 --> 00:05:11,660 with and you can check out the doc documentation simply by Google searching Colorada. 68 00:05:11,820 --> 00:05:12,730 What I want to show you now. 69 00:05:12,780 --> 00:05:15,270 Let me quit out of this Python session. 70 00:05:15,280 --> 00:05:20,430 Show you how you would actually create a Google search and what kind of things to expect to pop up when 71 00:05:20,430 --> 00:05:24,120 you are looking for an external package that you may not know ahead of time. 72 00:05:24,120 --> 00:05:29,520 So for example let's try to solve the problem of trying to work Excel files in Python and figure out 73 00:05:29,520 --> 00:05:31,550 a package that allows us to do that. 74 00:05:31,560 --> 00:05:35,560 So we are looking for a Python package for any particular workflow. 75 00:05:35,700 --> 00:05:40,620 It's always best to just a simple Google search and I know hopefully this is pretty obvious but a lot 76 00:05:40,620 --> 00:05:45,130 of times the best thing to do and pretty much everybody does this no matter how experienced developer 77 00:05:45,160 --> 00:05:49,380 or they are is it just google search Python package for and then whatever they're looking for whether 78 00:05:49,380 --> 00:05:55,350 it's Excel for PDA apps and you should always end up seeing the top results some sort of link to helpful 79 00:05:55,350 --> 00:05:56,610 information. 80 00:05:56,640 --> 00:05:58,910 So start off with the example for Excel. 81 00:05:59,310 --> 00:06:05,190 And as we scroll down we'll eventually see Python excel or and if you click on that link it actually 82 00:06:05,310 --> 00:06:07,990 reports back a bunch of packages that are available. 83 00:06:08,190 --> 00:06:14,040 Open my Excel excel or the execute tills a ton of stuff that you can play around with. 84 00:06:14,040 --> 00:06:18,650 So then we end up doing is you either go to the documentation or you go straight to the download link. 85 00:06:18,900 --> 00:06:23,550 And typically when you go to the download link it takes you to the Python software foundation Web site 86 00:06:23,550 --> 00:06:24,320 for pipeline. 87 00:06:24,360 --> 00:06:26,690 So why Python python. 88 00:06:27,080 --> 00:06:34,020 And here's just official information about the actual package depending on how big the packages if it 89 00:06:34,020 --> 00:06:34,950 has more users. 90 00:06:34,950 --> 00:06:39,390 It almost always has a separate documentation page and the documentation will be linked somewhere in 91 00:06:39,390 --> 00:06:43,740 the top few lines so you click here and pipe Packer's documentation and it will take you to the official 92 00:06:43,740 --> 00:06:47,470 documentation for that actual package. 93 00:06:47,640 --> 00:06:51,460 And a lot of times they're hosted by read the docs thought I know. 94 00:06:51,480 --> 00:06:56,400 So now here we see some nice documentation and all we can do is figure out how to install it from this 95 00:06:56,400 --> 00:06:57,230 documentation. 96 00:06:57,300 --> 00:07:00,790 Or typically we end up realizing it's it's always just typin stall. 97 00:07:00,810 --> 00:07:02,750 And then the name of the actual package. 98 00:07:02,850 --> 00:07:04,780 So we know that it's open Pikesville. 99 00:07:04,980 --> 00:07:07,130 Let's now go back to our command line install it. 100 00:07:07,320 --> 00:07:16,050 So then here back or our command line we're going to do is say Pipp install open pie Excel enter and 101 00:07:16,200 --> 00:07:21,240 I've actually already run this before but that's how you would install a package from the internet from 102 00:07:21,240 --> 00:07:27,250 pipe pipe and then later on you could call it Python and then you should be able to import open pie 103 00:07:27,250 --> 00:07:29,520 excel with no issues. 104 00:07:30,590 --> 00:07:35,840 That's the basics of using Pipp install with Python and figuring out what external packages are a good 105 00:07:35,840 --> 00:07:36,800 fit for you. 106 00:07:36,800 --> 00:07:37,720 Hope those are useful. 107 00:07:37,750 --> 00:07:40,370 If you have any questions feel free to post the Q&A forms. 108 00:07:40,370 --> 00:07:44,950 Coming up next we're going to learn how to create our own modules and packages using Python. 109 00:07:44,960 --> 00:07:45,580 We'll see if there.