WEBVTT 00:00.170 --> 00:00.800 Hello guys. 00:00.800 --> 00:02.990 So we are going to continue the discussion with respect to Python. 00:02.990 --> 00:07.850 And in this video we are going to see some amazing real world examples using list in Python. 00:07.880 --> 00:10.580 Now guys, you may be using a lot of applications. 00:10.580 --> 00:14.270 You may be using lot of apps, you know some or the other way. 00:14.270 --> 00:18.530 There are many, many smaller modules where specifically list can be used. 00:18.530 --> 00:21.620 So over here I'll be showing you some of the examples. 00:21.620 --> 00:21.920 Yes. 00:21.920 --> 00:26.450 We are not going to develop a complete end to end project like kind of thing, but it's more about understanding 00:26.450 --> 00:31.040 what applications specifically this kind of data structures list is used. 00:31.070 --> 00:36.020 Okay, so the first example that I'm actually going to do is something called as manager to do list. 00:36.050 --> 00:36.290 Right. 00:36.320 --> 00:42.860 So we will try to create a list which will keep the task track of all the tasks that you are planning 00:42.890 --> 00:43.340 to do. 00:43.370 --> 00:43.940 Okay. 00:43.940 --> 00:49.520 So let's say uh, I will just go ahead and create a variable to do list okay. 00:49.520 --> 00:55.730 And inside this let's say today my task is I have opened my app and I have probably selected okay. 00:55.760 --> 00:57.440 Today I need to buy groceries. 00:57.470 --> 01:00.400 Let's say I need to buy groceries. 01:00.430 --> 01:04.240 The second task that I really want to do is that clean the house. 01:04.480 --> 01:04.900 Okay. 01:04.930 --> 01:06.220 Which is necessary. 01:06.400 --> 01:07.840 Clean the house. 01:08.290 --> 01:14.050 And let's say the third task that I have is something called as pay bills right now. 01:15.070 --> 01:21.760 Uh, let's say after some time, I had to get some kind of task, I had to I got some more task, and 01:21.760 --> 01:24.700 now I want to add that particular task to my to do list. 01:24.730 --> 01:27.370 So right now in the to do list is already a list. 01:27.370 --> 01:32.320 So we know some of the inbuilt methods that we have already discussed, like how we can make sure that 01:32.350 --> 01:35.290 how we can add more tasks in our plate. 01:35.320 --> 01:35.590 Right. 01:35.620 --> 01:39.700 So what I will do, I will just go ahead and use this to do list dot append. 01:39.730 --> 01:40.540 Right. 01:40.540 --> 01:45.460 And inside this append I can probably go ahead and say okay, schedule meeting is one of my tasks. 01:45.460 --> 01:48.010 I need to schedule a specific meeting with someone. 01:48.130 --> 01:50.500 Okay, so this can be one of our task. 01:50.500 --> 01:57.100 And after finishing my work, let's say I want to go to a run, you know, so I will go ahead and append 01:57.130 --> 01:58.600 another task over here. 01:58.600 --> 02:00.730 Something like go for a run. 02:00.760 --> 02:04.000 Okay, go for a run. 02:04.480 --> 02:07.660 Okay, so this is my another task that I really want to do. 02:07.690 --> 02:12.820 Let's say that I have done out of all this task, I have started my day. 02:12.820 --> 02:16.090 And the first task that I have actually done is clean my house. 02:16.120 --> 02:22.090 Okay, so what I will do is that after I probably in my app, you know, after I complete this particular 02:22.090 --> 02:24.760 task, I will make sure to remove that particular task. 02:24.760 --> 02:32.980 And once I removed write a completed task in the back end, what kind of what kind of code will be written, 02:33.010 --> 02:33.280 you know? 02:33.310 --> 02:38.680 So from my to do list, right, which will be in the session, we'll talk more about session and all. 02:38.710 --> 02:43.720 I will just go ahead and remove, uh, clean the house task over here. 02:43.720 --> 02:48.940 So I will just go ahead and copy this entire thing, and I will just go and say, hey, this is completed. 02:48.940 --> 02:57.280 So please remove this particular task from my list, you know, and then, uh, let's go ahead and check. 02:57.310 --> 02:57.520 Okay. 02:57.580 --> 03:00.430 Whether this particular task after removing it is present or not. 03:00.460 --> 03:06.700 So here I will say checking if a task is in the list. 03:06.730 --> 03:07.270 Okay. 03:07.510 --> 03:13.720 And here I'll say hey, if let's say pay bills is there okay. 03:13.750 --> 03:14.530 Pay bills. 03:14.560 --> 03:16.090 Is there in the task. 03:16.120 --> 03:16.750 Okay. 03:16.780 --> 03:19.480 In two underscore do list. 03:19.510 --> 03:21.850 Then I will say print. 03:22.210 --> 03:24.130 I'll send a reminder for me. 03:24.160 --> 03:33.340 Hey don't forget forget to pay the utility bills. 03:33.370 --> 03:35.290 Let's say this is my utility bill. 03:35.320 --> 03:36.100 Okay. 03:36.220 --> 03:37.270 Utility bills. 03:37.300 --> 03:40.480 Okay, so this is just like a reminder that I'm actually getting. 03:40.480 --> 03:46.420 And let's say after finishing all the work, how many tasks I really want to probably, uh, how many 03:46.420 --> 03:48.070 tasks are remaining if I want to print it. 03:48.070 --> 03:48.400 Right. 03:48.400 --> 03:50.020 So I'll just go ahead and write. 03:50.020 --> 03:50.890 Print. 03:51.130 --> 03:56.020 This is my to do list that are remaining to do list remaining. 03:56.020 --> 04:05.180 And I will just go ahead and print for task in my to do list print. 04:05.300 --> 04:08.510 Let's go ahead and print with the help of F string. 04:08.690 --> 04:15.770 F is basically a formatting string, and this will just go ahead and display my task right now. 04:15.800 --> 04:18.410 Obviously I'll be able to see that from my task list. 04:18.410 --> 04:18.770 Clean. 04:18.770 --> 04:21.350 The house should not be there and I should have this. 04:21.350 --> 04:23.810 Both the tasks that should be appended in my to do list. 04:23.840 --> 04:25.190 So let me just go ahead and execute it. 04:25.190 --> 04:29.930 So here you can see, hey, don't forget to pay the utility bills because I got a reminder reminder 04:29.930 --> 04:31.190 saying that over there. 04:31.190 --> 04:33.860 Because pay bills is still there in my to do list. 04:33.860 --> 04:39.170 Then the remaining to do list that are remaining that are like buy groceries, pay bills, schedule 04:39.170 --> 04:40.580 a meeting, go for a run. 04:40.580 --> 04:41.060 Right. 04:41.060 --> 04:46.820 So all this specific things are there and I will be able to keep a track of it so extensively. 04:46.820 --> 04:52.100 I know in a bigger application you'll be seeing that a to do list specifically uses list, because with 04:52.100 --> 04:53.870 the help of list you can actually remove it. 04:53.870 --> 04:58.610 You can add it, you can append a new task over there and everything can be created through it, right? 04:58.610 --> 05:03.380 So whichever programming languages you specifically go ahead with, list will be a common data structure 05:03.380 --> 05:05.030 that will be used extensively. 05:05.060 --> 05:05.570 Okay. 05:05.600 --> 05:08.150 Now let's go ahead and see another example. 05:08.180 --> 05:12.560 So here you have something called as organizing student grades okay. 05:12.560 --> 05:17.090 And now I will just go ahead and copy and paste it over here a code for you. 05:17.120 --> 05:19.970 So here you can see organizing student grades. 05:19.970 --> 05:24.110 So I have some grades over here 85 9278 9088. 05:24.110 --> 05:25.910 So I am adding a new grade. 05:25.910 --> 05:27.500 Let's say new grade has actually come. 05:27.500 --> 05:30.410 So I'll go ahead and append a grade inside this. 05:30.410 --> 05:32.660 Then we'll go ahead and calculate the average grade. 05:32.660 --> 05:34.790 So this is my average grade fine. 05:34.790 --> 05:40.520 The highest and the lowest grade let's say by using inbuilt function like max or grades I'll be able 05:40.520 --> 05:43.880 to get the highest grade and another inbuilt function by min. 05:43.880 --> 05:45.200 I'll be able to get the lowest grade. 05:45.200 --> 05:48.290 So this is how I will be able to see my highest and lowest grade. 05:48.320 --> 05:48.830 Right? 05:48.890 --> 05:50.900 So such a simple example. 05:50.900 --> 05:54.230 But here you can also see that extensively list is basically used. 05:54.230 --> 05:56.890 and just by using this inbuilt function like some. 05:56.890 --> 05:57.340 Right. 05:57.340 --> 06:02.770 Which will get basically get applied in a collection, specifically in a list right over here, you'll 06:02.800 --> 06:07.510 be able to see that I'm able to calculate sum of grades, length of grades, and then I'm able to calculate 06:07.510 --> 06:08.170 the average one. 06:08.200 --> 06:08.380 Right. 06:08.410 --> 06:12.550 So this is another one example with respect to organizing student grades. 06:12.550 --> 06:16.840 And here you can see average grade is so much highest grade is so much lowest grade is so much. 06:16.840 --> 06:20.830 So that is what I'm actually doing to calculate the average of the students okay. 06:20.950 --> 06:24.880 Now one more example that I've actually taken is managing an inventory. 06:24.910 --> 06:25.210 Okay. 06:25.240 --> 06:29.650 So managing an inventory basically means I'm trying to just manage an inventory. 06:29.650 --> 06:34.570 Whenever we do an e-commerce site, you know, inventory is the major thing that will be managed by 06:34.600 --> 06:36.520 the entire company itself, right? 06:37.000 --> 06:43.480 So here you can see, let's say in my inventory I have apples, bananas, oranges, grapes. 06:43.510 --> 06:44.020 Okay. 06:44.020 --> 06:46.900 So these are all the items that is present in my inventory. 06:46.900 --> 06:50.740 And then I'm adding a new item which is called as append strawberries. 06:50.770 --> 06:51.400 Okay. 06:51.430 --> 06:53.500 Now with respect to this particular strawberries. 06:53.620 --> 06:59.230 This is the new item that has come, and I'm appending it whenever there is one item that has been ordered 06:59.230 --> 06:59.740 by someone. 06:59.740 --> 07:03.160 So once we deliver it, we have to remove that particular item. 07:03.160 --> 07:05.560 So we have removed that particular item called as bananas. 07:05.590 --> 07:07.690 Let's say bananas was ordered by someone. 07:07.690 --> 07:09.610 So I have just removed this. 07:09.610 --> 07:10.060 Okay. 07:10.090 --> 07:14.110 After the, you know, delivery is done checking if an item is in stock. 07:14.110 --> 07:19.300 So if I'll say item is equal to oranges, if this item is present in inventory, I'll go ahead and say 07:19.300 --> 07:20.530 hey, they are in stock. 07:20.560 --> 07:22.000 Otherwise they are out of stock. 07:22.030 --> 07:24.880 You know, then we can go ahead and print the inventory. 07:24.880 --> 07:28.000 So here you are able to see that we are able to manage everything in the form of list. 07:28.030 --> 07:30.520 Yes, the scale of data will be quite huge. 07:30.520 --> 07:34.120 But internally this is all data structures will be specifically used. 07:34.120 --> 07:35.800 So this is another one amazing example. 07:35.800 --> 07:39.370 So if I go ahead and execute it here you can see oranges are in stocks. 07:39.670 --> 07:41.980 Since oranges are already present over here. 07:41.980 --> 07:46.600 And then inventory list you can actually find apple oranges grapes and strawberries. 07:46.630 --> 07:50.560 Okay now this was one more example, a good one. 07:50.560 --> 07:56.360 Now I hope you are able to understand what are beautiful, use cases are definitely there. 07:56.390 --> 08:00.560 Now this one, I'll just give you the task. 08:00.590 --> 08:02.060 Please go ahead and explore it. 08:02.090 --> 08:02.690 Okay. 08:02.720 --> 08:07.490 And, uh, just try to see whether you are able to understand it or not. 08:07.520 --> 08:07.940 Okay. 08:07.940 --> 08:10.640 So this is the code collecting user feedbacks. 08:10.640 --> 08:13.040 Use a list to collect and analyze user feedback. 08:13.070 --> 08:15.380 So here is my user feedback. 08:15.380 --> 08:16.130 Great service. 08:16.160 --> 08:16.880 Very satisfied. 08:16.880 --> 08:17.450 Could be better. 08:17.450 --> 08:18.170 Excellent service. 08:18.170 --> 08:24.830 Let's say another feedback is had added not happy with the service okay so we are just counting the 08:24.830 --> 08:25.730 specific feedback. 08:25.730 --> 08:27.920 So I'll say one for comment in feedback. 08:27.920 --> 08:30.200 If great in comment dot lower. 08:30.230 --> 08:31.160 Okay now see here. 08:31.160 --> 08:33.530 We have also used something amazing right? 08:33.560 --> 08:37.040 So I'm saying for comment in feedbacks we are exploring it. 08:37.070 --> 08:37.580 Okay. 08:37.640 --> 08:40.940 If a great word is present in that comment okay. 08:41.060 --> 08:43.850 If in all these comments great is present. 08:43.850 --> 08:47.270 So we are just going to do the summation with respect to one. 08:47.300 --> 08:51.350 Like if any time a great is present, I'm going to take one. 08:51.380 --> 08:52.190 Right. 08:52.460 --> 08:54.200 Or excellent in comment. 08:54.230 --> 08:55.340 All right. 08:55.340 --> 08:58.580 So we are just going to do how many number of time great or excellent is present. 08:58.580 --> 09:00.710 We're just going to keep on adding it up okay. 09:00.710 --> 09:02.750 So here you can see positive feedback count. 09:02.780 --> 09:03.470 We are able to get. 09:03.470 --> 09:04.490 So this is the variable. 09:04.490 --> 09:08.180 And then finally you can see print user in feedback comments and feedback. 09:08.180 --> 09:09.020 And we are printing it. 09:09.020 --> 09:10.580 I hope you are able to understand. 09:10.580 --> 09:14.600 So over here with respect to the output positive feedback count is two. 09:14.630 --> 09:18.890 That basically means if great and excellent is present over here, we are just going to count it down. 09:18.920 --> 09:19.520 Okay. 09:19.550 --> 09:21.530 So two times we have actually found out. 09:21.530 --> 09:23.270 So user feedback are like great service. 09:23.300 --> 09:23.930 Very satisfied. 09:23.930 --> 09:24.530 Could be better. 09:24.530 --> 09:25.940 Excellent experience. 09:25.940 --> 09:28.310 And the last feedback was not happy with the service. 09:28.310 --> 09:29.900 So that is also appended over here. 09:29.990 --> 09:32.870 So these are some of the beautiful examples. 09:32.870 --> 09:39.080 And again list is something I think the most common data structures that may be used everywhere. 09:39.110 --> 09:42.650 You know probably whenever we are working with larger applications. 09:42.650 --> 09:44.900 So I hope you understood this video. 09:44.900 --> 09:49.070 I hope you got an idea with respect to the real world example, and this was it for my side. 09:49.070 --> 09:50.300 I will see you in the next video. 09:50.300 --> 09:50.720 Thank you.