1 00:00:00,000 --> 00:00:04,755 [MUSIC] 2 00:00:04,755 --> 00:00:06,172 Hi, I'm Kenneth. 3 00:00:06,172 --> 00:00:09,740 If you find yourself interested in using Python for scientific pursuits, data 4 00:00:09,740 --> 00:00:13,359 analysis, data science, computer vision, or any of a number of other fields, 5 00:00:13,359 --> 00:00:16,200 you're going to come across a bit of software named Anaconda. 6 00:00:17,220 --> 00:00:20,820 Besides being a clever pun on Python, Anaconda is a large and 7 00:00:20,820 --> 00:00:24,920 powerful platform that's heavily used by science and data-oriented Pythonistas. 8 00:00:24,920 --> 00:00:28,270 And it provides a ton of the tools you'll use in those areas like Pandas, 9 00:00:28,270 --> 00:00:29,800 Jupyter Notebook, and more. 10 00:00:29,800 --> 00:00:32,420 In fact, that's why people use the Anaconda platform. 11 00:00:32,420 --> 00:00:35,510 It makes it faster and easier to set up and install the tools and 12 00:00:35,510 --> 00:00:37,910 libraries that you need to do your science. 13 00:00:37,910 --> 00:00:41,000 Another benefit of using a platform like Anaconda comes out when you're working 14 00:00:41,000 --> 00:00:44,040 with a team or need to share your results with others in the community. 15 00:00:44,040 --> 00:00:47,508 Using a standardized platform lets you all easily replicate an environment and 16 00:00:47,508 --> 00:00:48,812 set up quickly and reliably. 17 00:00:48,812 --> 00:00:51,798 That means less time spent setting things up and tweaking libraries and 18 00:00:51,798 --> 00:00:53,000 more time for your science. 19 00:00:54,210 --> 00:00:57,390 Beyond that though, Anaconda also brings with it easier manipulation and 20 00:00:57,390 --> 00:01:00,800 use of data sources, a community of experts, and a lot more. 21 00:01:00,800 --> 00:01:03,740 In fact, I won't even be able to scratch the surface of all of the powers and 22 00:01:03,740 --> 00:01:05,520 benefits that Anaconda can give you. 23 00:01:05,520 --> 00:01:07,590 Luckily, you won't need all of these to start with. 24 00:01:07,590 --> 00:01:09,803 You'll just need to get Anaconda installed. 25 00:01:09,803 --> 00:01:12,370 And that's exactly what this workshop is about. 26 00:01:12,370 --> 00:01:14,520 We're going to look at how to install the Anaconda platform. 27 00:01:14,520 --> 00:01:15,800 How to use it to install packages and 28 00:01:15,800 --> 00:01:18,590 libraries and a smaller alternative version of Anaconda 29 00:01:18,590 --> 00:01:21,960 that might be more useful to you if you're not a day to day data scientist. 30 00:01:21,960 --> 00:01:23,936 I'm gonna show you all the steps you needed to do on a Mac, but 31 00:01:23,936 --> 00:01:26,510 they'll be similar enough on another platforms that you shouldn't have any 32 00:01:26,510 --> 00:01:27,970 issues getting things running. 33 00:01:27,970 --> 00:01:28,540 Let's get started