1 00:00:00,000 --> 00:00:03,360 Okay, so you now know about some or the most 2 00:00:03,361 --> 00:00:06,300 important Python data types. But I bet you're 3 00:00:06,301 --> 00:00:10,470 still confused how these data types are used in 4 00:00:10,471 --> 00:00:13,920 the real world. So normally, for example, normally 5 00:00:13,921 --> 00:00:18,270 you'd have these data stored in an Excel file or a 6 00:00:18,271 --> 00:00:22,440 text file. So does it make sense to write them in 7 00:00:22,441 --> 00:00:26,460 a Python dictionary like that, or like that in a 8 00:00:26,461 --> 00:00:30,330 list? No, it doesn't. There are actually ways to 9 00:00:30,331 --> 00:00:33,660 automatically load the data from your Excel 10 00:00:33,661 --> 00:00:38,130 spreadsheet to Python to create the dictionary. So 11 00:00:38,131 --> 00:00:40,470 you still have to create the dictionary. But you 12 00:00:40,471 --> 00:00:44,700 don't have to type the data in the python.py file, 13 00:00:44,820 --> 00:00:47,820 like I did here. You're going to use some specific 14 00:00:47,821 --> 00:00:51,450 Python extensions to load the data in here. And 15 00:00:51,451 --> 00:00:54,510 then you process that dictionary as we did in 16 00:00:54,511 --> 00:00:57,180 here. But don't worry, I'm going to cover that, 17 00:00:57,210 --> 00:00:59,850 and we're going to have some nice applications in 18 00:00:59,851 --> 00:01:03,180 your later in the course in the Applications part. 19 00:01:03,390 --> 00:01:04,683 So stay tuned. 20 00:01:04,684 --> 00:01:07,700 [Outro sound]