1 00:00:06,313 --> 00:00:09,340 - Welcome to the Before You Begin lesson. 2 00:00:09,340 --> 00:00:12,070 In this lesson, I'm going to help you get setup 3 00:00:12,070 --> 00:00:14,346 to work with these LiveLessons videos. 4 00:00:14,346 --> 00:00:16,880 First off, we'll talk about how to acquire 5 00:00:16,880 --> 00:00:21,100 the code examples that you'll want to run in parallel 6 00:00:21,100 --> 00:00:22,686 with watching the videos. 7 00:00:22,686 --> 00:00:25,650 Next up, we'll go ahead and talk about installing 8 00:00:25,650 --> 00:00:28,320 the Anaconda Python distribution 9 00:00:28,320 --> 00:00:30,160 and one of the nice things about this 10 00:00:30,160 --> 00:00:31,010 is first of all, 11 00:00:31,010 --> 00:00:34,530 it's available for macOS, Windows, and Linux, 12 00:00:34,530 --> 00:00:37,785 and it's super easy to install on all three platforms. 13 00:00:37,785 --> 00:00:41,553 But it also comes with a ton of popular 14 00:00:41,553 --> 00:00:43,971 Python opensource libraries. 15 00:00:43,971 --> 00:00:46,347 So you're often going to be able 16 00:00:46,347 --> 00:00:48,890 to work with those libraries without having 17 00:00:48,890 --> 00:00:50,970 to install them separately. 18 00:00:50,970 --> 00:00:53,600 We will, of course, install some additional libraries 19 00:00:53,600 --> 00:00:56,090 throughout these LiveLessons videos as well. 20 00:00:56,090 --> 00:00:59,950 But we'll talk about the two different package managers, 21 00:00:59,950 --> 00:01:02,920 which you'll use for installing those other libraries. 22 00:01:02,920 --> 00:01:04,229 One of them is called Conda, 23 00:01:04,229 --> 00:01:05,840 which is part of the Andaconda, 24 00:01:05,840 --> 00:01:07,298 and one of them's called Pip. 25 00:01:07,298 --> 00:01:11,760 And both of them can be used to install packages 26 00:01:11,760 --> 00:01:13,918 into your Python system. 27 00:01:13,918 --> 00:01:17,610 We'll also talk about installing some additional software 28 00:01:17,610 --> 00:01:20,744 that will help you run some of the animations 29 00:01:20,744 --> 00:01:23,919 that we provide in the context of what are known 30 00:01:23,919 --> 00:01:26,200 as Jupyter Notebooks. 31 00:01:26,200 --> 00:01:29,963 Jupyter Notebooks is a great way to work with Python, 32 00:01:29,963 --> 00:01:34,963 allows you to combine text, audio, video, images, 33 00:01:35,240 --> 00:01:39,395 and live executable code into a web-based document 34 00:01:39,395 --> 00:01:42,459 and it's really the preferred way nowadays 35 00:01:42,459 --> 00:01:47,459 to provide people with the results of a data science study 36 00:01:48,470 --> 00:01:49,999 or other scientific study 37 00:01:49,999 --> 00:01:54,760 in a manner that they can reproduce those results as well. 38 00:01:54,760 --> 00:01:57,500 So I do encourage you to take a look, 39 00:01:57,500 --> 00:01:59,338 especially as you go into lesson one, 40 00:01:59,338 --> 00:02:01,895 at the test drive of Jupyter Notebooks, 41 00:02:01,895 --> 00:02:04,475 to become familiar with that interface. 42 00:02:04,475 --> 00:02:07,017 I think you'll find it to be a preferred way 43 00:02:07,017 --> 00:02:09,899 to use and interact with Python. 44 00:02:09,899 --> 00:02:12,490 We'll also talk about getting yourself 45 00:02:12,490 --> 00:02:14,760 a Twitter Developer Account for use 46 00:02:14,760 --> 00:02:16,746 in some of the later lessons 47 00:02:16,746 --> 00:02:19,773 and finally, I'll provide you with my contact information 48 00:02:19,773 --> 00:02:21,580 in case you have any questions 49 00:02:21,580 --> 00:02:23,663 while you're watching the videos.