WEBVTT 0 00:00.720 --> 00:01.350 Hey guys, 1 00:01.350 --> 00:05.730 welcome to Day 46 of 100 Days of Code. Today 2 00:05.730 --> 00:08.310 we've got a pretty special project for you. 3 00:08.880 --> 00:13.380 It's a musical time machine project. So what does that mean? 4 00:14.040 --> 00:14.520 Well, 5 00:14.520 --> 00:19.520 recently I received a mixed tape from a friend and the mix tape contained all of 6 00:21.750 --> 00:25.950 the top songs from the period of time when we went to school together. 7 00:26.400 --> 00:28.230 And it was a really, really beautiful gift 8 00:28.230 --> 00:33.000 and it was a really nice way of jogging your memories for that particular time 9 00:33.000 --> 00:35.820 point in your life. This got me thinking, 10 00:35.880 --> 00:40.880 and I thought about how music can take you back into a particular time in your 11 00:41.580 --> 00:46.580 life as if it just transported you. By listening to the same songs that were hits 12 00:48.300 --> 00:49.770 during that period of time 13 00:50.100 --> 00:55.100 it was like as if I was being transported back and could relive a moment in my 14 00:56.340 --> 00:59.910 childhood. And you might have the same experience. 15 01:00.120 --> 01:04.470 Maybe there's certain songs that were really popular in your childhood that 16 01:04.470 --> 01:08.880 brings back memories, or maybe for a particular relationship, 17 01:08.940 --> 01:13.940 or maybe a holiday that you went on. Trying to jog these memories by using music 18 01:15.810 --> 01:16.470 is a really, 19 01:16.470 --> 01:21.470 really fantastic way of reminiscing and savoring some of your favorite moments 20 01:21.540 --> 01:22.373 in time. 21 01:22.740 --> 01:27.420 So what we're going to be building today is a Python time machine, 22 01:28.050 --> 01:32.100 not the sort of time machine that might take a human back in time, 23 01:32.340 --> 01:37.340 but it will go back in time to find the music that was in the top 100 shots that 24 01:39.120 --> 01:44.120 was being played all over the radio so that you can relive that period of time 25 01:44.550 --> 01:47.760 once more through music. Billboard 26 01:47.790 --> 01:51.480 compiles a list of the top 100 songs. 27 01:51.480 --> 01:55.650 So these are the most played songs during a particular week. 28 01:56.160 --> 02:01.110 And if you go to chart/hot-100, you'll see it for the current week, 29 02:01.560 --> 02:06.560 but there's also a feature where you can change the date to any data in the past 30 02:06.960 --> 02:07.793 20 years. 31 02:08.280 --> 02:12.180 So if we select a random date in year 2000, 32 02:12.540 --> 02:17.280 you can see that the songs that come up here, and it depends on your age 33 02:17.310 --> 02:18.360 but some of these artists 34 02:18.360 --> 02:23.360 you might have never heard of like N Sync or Destiny's child or Vertical 35 02:23.790 --> 02:28.020 Horizon. But if you listen to these tracks in order, 36 02:28.260 --> 02:33.260 then it will be almost like you've been transported back to year 2000, 37 02:33.420 --> 02:37.380 August 12 and you're just listening to the things on the radio. 38 02:38.190 --> 02:42.020 This is how we are going to approach this task. First, 39 02:42.050 --> 02:47.050 we're going to use Beautiful Soup to scrape the top 100 songs from a particular 40 02:48.470 --> 02:49.640 date of your choice. 41 02:50.360 --> 02:54.950 And then we're going to extract all of the song titles from the list, 42 02:55.430 --> 03:00.430 and then we're going to use the Spotify API to create a playlist for that 43 03:00.670 --> 03:01.503 particular date. 44 03:02.310 --> 03:07.290 And we're going to see right through Spotify for each of the songs and add 45 03:07.290 --> 03:12.150 those songs to our new playlist. So that by the end of this whole process, 46 03:12.390 --> 03:17.390 we end up with a playlist that has the top 100 songs for a particular date in 47 03:19.440 --> 03:20.273 the past. 48 03:20.610 --> 03:24.510 So if you've got an anniversary coming up or a birthday coming up, 49 03:24.720 --> 03:29.720 this might just be the perfect present where you create a playlist of the 50 03:30.090 --> 03:35.090 top of that 100 songs that was playing on the day that you met your wife or your 51 03:35.160 --> 03:40.020 husband, or maybe when you started a friendship or started a new job, 52 03:40.440 --> 03:45.440 and you can send them this playlist as your gift to jog their memories and 53 03:46.200 --> 03:48.660 remind them of that day in the past. 54 03:49.710 --> 03:51.630 So are you ready to build the time machine? 55 03:52.080 --> 03:55.860 If you are, head over to the next lesson while you will find step by step 56 03:55.860 --> 03:58.800 instructions and a lot of challenges 57 03:59.280 --> 04:03.630 that's going to get you to use all the skills you learned about how do you use 58 04:03.630 --> 04:04.463 Beautiful Soup 59 04:04.740 --> 04:09.150 as well as the Spotify API in order to complete this project. 60 04:09.510 --> 04:10.500 So head over there now.