WEBVTT 00:01.290 --> 00:07.080 This video is probably one of the most important videos of the entire costs and the following minutes 00:07.080 --> 00:13.490 I will show you how to download all datasets and Jupiter notebooks that we will use throughout the costs 00:13.530 --> 00:19.080 in the video lectures and you will learn how to open these notebooks and how to code along the videos 00:19.080 --> 00:25.410 or how to code in parallel to the videos with your own computer and you will also learn how to easily 00:25.410 --> 00:28.530 open and work with your own data sets. 00:28.530 --> 00:34.650 This is a real game changer and significantly enhances your learning experience as learning by doing 00:34.650 --> 00:36.540 is always the best approach. 00:36.930 --> 00:42.230 And it definitely makes a difference whether you are just watching the videos or whether your code in 00:42.240 --> 00:46.960 parallel and can verify what you see in the video was all right. 00:46.960 --> 00:52.540 So the basic assumption and requirements are that you successfully installed a condom on your computer 00:52.930 --> 00:57.330 and if this is not the case then please go back and follow the videos. 00:57.340 --> 00:59.950 Indeed getting started s.. 01:00.100 --> 01:07.150 I always get questions from Mac users whether it is working in the same way on Mac and I can confirm 01:07.150 --> 01:07.580 this. 01:07.580 --> 01:10.550 It works in the very same way as on Windows. 01:10.780 --> 01:13.390 So this the tutorials made on my windows machine. 01:13.390 --> 01:19.730 But there is simply no difference to the Mac and as an example also on the Mac. 01:19.740 --> 01:26.350 There is a user's folder our home folder where by default all of your files are located and installed 01:26.920 --> 01:27.970 and by default. 01:27.970 --> 01:34.300 Also the anaconda distribution is installed and located in the user's our home folder and this holds 01:34.300 --> 01:40.600 true for Windows and Mac and by the way it's clearly recommended to have Anaconda installed in the user's 01:40.600 --> 01:45.560 folder otherwise they might come up some problems later on. 01:45.760 --> 01:51.150 And as long as you didn't change the location during the installation process your Anaconda is still 01:51.150 --> 01:55.150 located and the users are home for the hour right. 01:55.150 --> 01:55.670 We are young. 01:55.670 --> 02:03.010 The cost dashboard and we have just the finished lecture twelve first steps and we are here now in lecture 02:03.040 --> 02:09.280 thirty encoding exercise zero coding the video lectures and you can see here that there still no video 02:09.310 --> 02:16.810 because currently I am recording the video so you will find a video here and you can see on the right 02:16.810 --> 02:25.000 hand side resources and you can actually download all Jupiter notebooks and all CSP and extra files 02:25.040 --> 02:28.180 that we use throughout the video lectures. 02:28.210 --> 02:32.130 So this RCA set file and let's click on it here. 02:33.240 --> 02:40.680 And then you can download the file so you can pick your unsafe safe S and I recommend to download it 02:40.680 --> 02:42.200 here on the desktop. 02:42.240 --> 02:49.010 So I've already done it and I go now to my desktop I'm now on my desktop. 02:49.020 --> 02:55.170 And yes they downloaded the zip file video lecture notebooks and first of all we have to answer the 02:55.170 --> 03:00.050 file and we can do this here with a right click and the Select extract all. 03:00.690 --> 03:02.660 And by default you will extract the file. 03:02.670 --> 03:04.230 You're also on the desktop. 03:04.230 --> 03:05.990 So let's do this here. 03:09.950 --> 03:12.040 And here we have now the Ansett files. 03:12.040 --> 03:13.550 So let's have a look here 03:19.060 --> 03:23.370 if we can find our Jupiter notebooks that I use throughout the costs. 03:23.390 --> 03:30.160 So in total we have 14 Jupiter notebooks starting from Pandora's basics to interactive plots. 03:30.170 --> 03:32.150 And part two. 03:32.150 --> 03:39.080 And you can also see that here in this download folder we have all the CSP files and Excel files that 03:39.170 --> 03:41.800 we use throughout the cost and the video lectures. 03:41.800 --> 03:50.270 So for example the Titanic CSC file or the summer that the CSP file and we will see later that this 03:50.270 --> 03:57.470 is very important having the Jupiter notebooks and the corresponding CSP files and one folder. 03:57.470 --> 04:05.580 So here in the video elections folder and now let's open the anaconda navigator and we select here to 04:05.580 --> 04:11.220 put our notebooks. 04:11.320 --> 04:18.330 Here we are on the top of the dashboard and we can see here desktop and s we have saved our download 04:18.330 --> 04:19.800 folder on our desktop. 04:19.800 --> 04:22.300 Be sure to click here to desktop. 04:22.590 --> 04:25.600 And this is here actually a view on our desktop. 04:25.950 --> 04:34.320 So on my desktop I fear the open up rather than the Microsoft Edge browser than the video lecture notebooks 04:34.430 --> 04:43.570 set file and also the concept file and let's click on the concept file here a.. 04:43.620 --> 04:45.920 Our 14 jubilant notebooks. 04:45.960 --> 04:47.750 And we can simply open here. 04:47.760 --> 04:50.010 The very first one pen basics 04:54.740 --> 04:57.230 and here we are starting with the very basics. 04:57.230 --> 05:05.300 So our very first impart and the first of all we import pen does and then as a next step we can import 05:05.380 --> 05:10.430 the Titanic that see as we file with the the direct Panda's method. 05:10.430 --> 05:11.620 Uh read CSB. 05:12.220 --> 05:15.200 So this is of course uh nothing new. 05:15.250 --> 05:21.510 And here we have uh the Titanic data frame and outcomes that the most important issue here. 05:21.720 --> 05:25.210 So we were able to import the Titanic. 05:25.310 --> 05:31.600 Yes we fire by just passing the file name Titanic that CSP to the read CSC method. 05:31.600 --> 05:35.340 And this only works if uh the Jupiter notebook. 05:35.340 --> 05:38.180 So here our notebook one and this. 05:38.210 --> 05:39.220 Yes we fire. 05:39.540 --> 05:44.900 So these two must be located in the same folder or fire and in our case. 05:44.970 --> 05:52.880 This is true because here we are again in the file or folder video lectures and the the notebook one 05:52.880 --> 05:57.870 pen basics and the CSB file Titanic are here in the same folder. 05:57.900 --> 06:00.440 So that's uh very important. 06:00.440 --> 06:00.950 All right. 06:00.960 --> 06:09.410 Now let's go on here and uh here we have uh the next lecture billed and functions attributes and methods. 06:09.510 --> 06:16.770 And as I said before many students watch the video lectures and go to the video lectures in parallel. 06:16.770 --> 06:24.340 So let's have a look how this could work so here we are in the next lecture and we can see that the. 06:24.340 --> 06:31.450 Here we are coding some data frame methods for example the head method for the Titanic data frame and 06:31.450 --> 06:37.330 now for example we can stop here the video and have you on the right hand side of our way to get a notebook 06:37.360 --> 06:40.990 a closer look into the code that I coded here in the video. 06:40.990 --> 06:46.290 So for example here we have the head method so let's run that method here. 06:46.300 --> 06:52.060 So here we can see where for the first five rows of the Titanic data frame and we can also play around 06:52.090 --> 06:59.740 with the head method and instead of getting the default value of five for the first five rows you can 06:59.740 --> 07:04.470 also get the first 10 rows by passing 10 to the parameter end. 07:04.490 --> 07:05.530 So let's do this here 07:09.390 --> 07:16.470 so this works and we can still play around or we can just go on with the video here. 07:17.540 --> 07:20.410 So this is pretty cool and pretty simple. 07:20.810 --> 07:23.840 And it definitely improves the learning experience. 07:23.840 --> 07:25.670 All right. 07:25.800 --> 07:30.330 We are back here on the tip of the dashboard and let's assume that you're on to perform your own analysis 07:30.360 --> 07:38.370 on the Titanic data frame and you want to create your own Jupiter notebook then you can do this and 07:38.460 --> 07:41.120 there's only one thing that you have to keep in mind. 07:41.160 --> 07:47.190 So you have to create the new Jupiter notebook in the very same location on the very same folder where 07:47.220 --> 07:50.870 also the Titanic CSP file is located. 07:50.970 --> 07:59.070 And here we are in the video lectures folder where we have already the Titanic yes we file and if you 07:59.070 --> 08:06.570 want to do your own analysis then you simply can create a new tidbit and notebook paste and three 08:09.920 --> 08:13.220 and let's rename the notebook for example to Titanic 08:18.490 --> 08:23.770 and let's create some sets here and then we can import that's first of all 08:29.980 --> 08:35.410 and then we can simply import to the Titanic CSP file with the read CSP method 08:39.760 --> 08:42.300 and we pass on the file name Titanic. 08:42.340 --> 08:43.360 The CEV 08:47.370 --> 08:51.990 so let's run the sale here and here we have our Titanic data frame. 08:51.990 --> 08:56.870 And the reason why this is pretty simple so we only have to pass the file name Titanic. 08:57.000 --> 08:58.060 See as. 08:58.450 --> 09:04.950 So the reason for this is that we have the Jupiter notebook here the Titanic too but a notebook and 09:05.160 --> 09:12.170 the CSP five Titanic here in one file or one folder and it's here the video lectures folder. 09:12.600 --> 09:16.000 And actually by the way it's not a completely unnecessary to F.. 09:16.080 --> 09:19.150 The notebook and the CSB file in one folder. 09:19.230 --> 09:26.600 So there's one solution that also works of the notebook and to this USC file is not in the same folder. 09:26.670 --> 09:32.540 And if you're interested in this so write me a message and I will give you a guide on this here. 09:32.640 --> 09:36.160 But as I said before so this is the easy solution. 09:36.210 --> 09:43.020 So we simply create that to put a notebook in the same folder file where we have our Titanic CSP file 09:43.020 --> 09:46.420 located and that's all. 09:46.440 --> 09:54.660 Now let's assume that the V on your desktop and you have the CSB file IRS flowers and you want to perform 09:54.690 --> 10:02.450 a quite deep analysis on this dataset and therefore you have to create a Jupiter notebook and import 10:02.760 --> 10:06.330 the lowest dataset into the Jupiter notebook. 10:06.330 --> 10:13.570 And now in the following I will show you how this will not work so actually first of all we are starting 10:13.570 --> 10:17.150 the anaconda Navigator. 10:17.300 --> 10:19.570 So yes the anaconda navigator. 10:19.580 --> 10:22.100 And then we want to create a brand new. 10:22.110 --> 10:28.440 Tippett A notebook. 10:28.640 --> 10:30.530 So this is our job with a dashboard. 10:30.530 --> 10:34.680 And by default we have here a view on our users folder. 10:34.820 --> 10:37.070 And I can show you this in more detail. 10:37.700 --> 10:39.490 So now you're on the right hand side. 10:39.530 --> 10:42.670 This is my user's folder on on the left hand side. 10:42.740 --> 10:45.260 This is the my Jupiter dashboard. 10:45.260 --> 10:48.350 And you can see here that you on the left hand side. 10:48.380 --> 10:51.320 This is a view on my user's folder. 10:51.320 --> 10:58.070 So here we have actually the same sub folder starting with an icon the three desktop documents and the 10:58.070 --> 11:06.290 same structure you can see here and in the very end such as videos and set. 11:06.290 --> 11:10.230 So this is a view on our users folder. 11:10.550 --> 11:14.480 And now let's try to create a brand new Jupiter notebook here 11:18.400 --> 11:20.260 and let's import does 11:25.700 --> 11:29.040 and now let's try to import the IRS flowers. 11:29.120 --> 11:38.320 Yes we fire. 11:38.710 --> 11:43.010 So this is a UCSB file and let's run the cell here. 11:43.270 --> 11:47.760 And here you get an error message and it says the file IRS flower starts. 11:47.800 --> 11:49.630 Yes fee does not exist. 11:49.810 --> 11:55.000 And this is simply the case because here in our users folder we create it. 11:55.030 --> 12:00.210 Then you took it a notebook here called Untitled but know I use this folder. 12:00.220 --> 12:02.560 That's actually a no CSP file. 12:02.580 --> 12:06.330 So he is not the CSB file IRS flowers. 12:06.340 --> 12:09.170 And that's actually the reason why Jupiter cannot find here. 12:09.190 --> 12:10.370 The IRS flowers. 12:10.410 --> 12:13.980 Yes we file and therefore we get you the error message. 12:14.560 --> 12:18.390 So what can you do now if you want to analyze your own data sets. 12:18.400 --> 12:26.090 So let's go back here to the desktop and I already created a folder called my data sets. 12:26.280 --> 12:30.600 And actually what we could do we could actually copy here the iris flowers. 12:30.630 --> 12:37.360 Yes we file into my datasets so here we have now this CSP file. 12:37.920 --> 12:40.700 And now let's go back to the Jupiter dashboard. 12:41.070 --> 12:49.230 So here we are again in the Jupiter dashboard and we know that our forward my data sets is on the desktop. 12:49.230 --> 12:57.060 Then we can see here the folder my data sets and we can see the CSP file Iris flowers and our if we 12:57.060 --> 13:01.440 create a brand new Jupiter notebook with clicking here on you. 13:01.590 --> 13:06.870 And if you try then to import the iris flowers yes we fire then it should work. 13:06.890 --> 13:11.820 All right and that's actually one last thing that I want to show you so far. 13:11.820 --> 13:18.820 We had our folders with the Jupiter notebooks and the CSP files here on our desktop. 13:18.990 --> 13:25.080 But it might be the case that we say that okay we do not want to have these folders on our desktop. 13:25.080 --> 13:32.310 Then my clear recommendation would be to just move these folders into the user's folder. 13:32.670 --> 13:36.270 So let's do this here with the default on my datasets. 13:36.330 --> 13:43.480 So we move my data sets into my users folder here so this is no problem. 13:43.480 --> 13:46.820 And now let's go back to the Jupiter dashboard. 13:47.080 --> 13:52.750 And we've already learned that here in the Jupiter dashboard this is a view on our users folder. 13:52.900 --> 13:58.000 And as we moved the folder my data sets into our users folder. 13:58.000 --> 14:02.310 Now we can see here the folder my data sets and we can open it. 14:02.800 --> 14:10.270 And here we can see now our CSP file and then of course we can also create a brand new Jupiter notebook 14:10.720 --> 14:17.350 and then we can import the iris flowers CEV into our Jupiter notebook and then we can analyze them the 14:17.340 --> 14:18.850 data set. 14:18.850 --> 14:25.670 So this was a pretty important video about how to download and how to open and work with the Jupiter 14:25.700 --> 14:29.590 notebooks and CSP files and Excel files. 14:29.680 --> 14:37.870 So not only for the cost materials but also working with your own CSP files and if you experience some 14:37.870 --> 14:44.020 problems or some error messages then I would highly recommend you to read watch the video. 14:44.590 --> 14:48.850 And if you still have some problems then of course you can also drop me a message. 14:48.850 --> 14:55.300 All right on the q and a board so I hope this video was pretty helpful for you and I hope to see you 14:55.300 --> 14:57.490 also in the next video by.