WEBVTT 00:04.210 --> 00:05.900 Hi and welcome back to our cost. 00:05.900 --> 00:12.630 So now as we often start the anaconda situation we can open our very first to be the notebook where 00:12.640 --> 00:19.120 we can write and run our Python code and there are actually two ways to open a typical notebook. 00:19.120 --> 00:29.880 So first of all via the anaconda navigator so let's search for the anaconda navigator and you can see 00:29.880 --> 00:30.930 it here as an EP 00:37.630 --> 00:43.430 and opening a tip in a notebook where the anaconda navigators extreme a bit more convenient and more 00:43.430 --> 00:57.980 user friendly than the second option which we will see later. 00:58.180 --> 00:59.950 All right thanks for installing. 00:59.990 --> 01:07.490 OK don't show again A.C. different apps and what we are interested in is and that should be done notebook 01:07.490 --> 01:08.230 app. 01:08.240 --> 01:14.180 And as we can read here the typical notebook is a web based interactive computing notebook environment 01:14.630 --> 01:20.790 where we can edit and run human readable docs slide describing the data analysis. 01:20.840 --> 01:25.670 So an easy words we can actually use to put a notebook to write and run our code but also we can use 01:25.670 --> 01:33.770 it as a text editor and just write text and integrate images and visualizations and also HCM and code 01:33.860 --> 01:35.450 much more. 01:35.450 --> 01:40.820 And in particular on data science to get a notebook is very popular because say you can do your data 01:40.820 --> 01:47.030 analysis and write your code and also use it as a text editor and describe and say whatever you are 01:47.030 --> 01:47.970 doing actually. 01:48.320 --> 01:51.500 And also in research to better notebook is quite popular. 01:51.530 --> 01:59.500 So there are some researchers which actually submit their research papers as to put a notebook. 01:59.510 --> 02:02.330 All right so let's launch our first two on notebook 02:07.780 --> 02:09.130 and what an icon that does. 02:09.130 --> 02:13.190 Actually it opens a local server and our standard Internet browser. 02:13.190 --> 02:15.850 So here we are on our internet browser actually. 02:16.300 --> 02:21.970 However we are not connected to the Internet so we can also use them to put a notebook offline. 02:22.240 --> 02:25.110 However there's the option to use it on a web server. 02:25.120 --> 02:28.360 But yeah this is not a topic of our costs actually. 02:28.930 --> 02:35.340 So now here we are on the Jupiter dashboard and this sets like a home page for our Jupiter notebooks. 02:35.350 --> 02:43.600 And the main purpose is to display our notebooks and files in our current directory and depending on 02:43.750 --> 02:49.910 which folder you installed I conduct before we can see here the folder structure of. 02:49.990 --> 02:57.340 The folder value and stored Anaconda and in my case that was um here uh the user folder 03:02.510 --> 03:06.760 and actually you can see here so this is actually the same folder structure. 03:06.770 --> 03:13.380 So to get a notebook actually makes reference to our users folder here. 03:13.380 --> 03:19.470 All right so let's open our first to the notebook and therefore we go here to New and we are opening 03:19.500 --> 03:21.480 a Python 3 notebook 03:27.030 --> 03:28.650 so here we are on the notebook. 03:28.650 --> 03:32.070 And first of all we can change the name of our notebook. 03:32.070 --> 03:40.890 If we go here to untitled and say OK let's call this notebook test and here we can rename it. 03:40.890 --> 03:50.320 So now our notebook name is test we can also change the name by going here to file and rename. 03:50.350 --> 03:52.250 So this is the same. 03:52.370 --> 03:56.130 We can also name it let's say test one 03:59.190 --> 04:01.450 and now we can go into our first cell. 04:01.450 --> 04:09.270 So this is a coding cell actually where we can write our code also just text and you can see here which 04:09.420 --> 04:19.010 our mode we have and this is now set to code so we cannot code a python code here so let's say we try 04:19.010 --> 04:21.200 to use python as a calculator. 04:21.200 --> 04:29.380 So one plus one and now we want to run our execute our code and there are actually four options to run 04:29.380 --> 04:31.030 our code. 04:31.030 --> 04:39.250 So option number one is up by just clicking here run and there can see the output or the result of our 04:39.250 --> 04:43.530 code is to so we can see here our cell. 04:43.720 --> 04:47.410 This is actually the input to our Python kernel. 04:48.100 --> 04:55.700 And here you can see the output of our code 2 and we can go to the next cell and for example calculate 04:55.700 --> 04:56.890 the three plus three. 04:56.890 --> 05:06.460 And the second option to run the cell is by just clicking here and no surprise in the output of six 05:07.570 --> 05:13.750 and we can run a set of multiple times so let's run again our first settle and let's use them. 05:13.750 --> 05:19.660 The third alternative we can press shift enter here. 05:19.900 --> 05:26.560 So again we get to end the shift and we run the cell and then we are selecting automatically the next 05:26.560 --> 05:27.010 cell. 05:27.010 --> 05:32.840 So now we are here in our cell to and let's go back to our first cell here. 05:32.840 --> 05:40.320 There is another option to run the cell and that's the keyboard shortcut I'd enter. 05:40.700 --> 05:44.750 You can run the cell and then insert a new cell below. 05:44.760 --> 05:52.360 So let's run the cell with it enter and then you can see we have from the cell our output is again to 05:52.610 --> 05:55.430 now be inserted a new cell here. 05:55.910 --> 06:02.690 And here we can calculate let's say two plus two and the actually fifth and last option to run the cell 06:03.170 --> 06:04.450 is by control. 06:04.460 --> 06:13.700 And so let's tap control enter and they can see to get the output for but we are yes stay in our current 06:13.700 --> 06:14.360 cell here. 06:14.420 --> 06:21.430 So we are not creating a new cell so we have five options to run the cell and depending on what we want 06:21.430 --> 06:28.270 to do as a next step yeah we can either go to the next cell with shift enter or we can create another 06:28.270 --> 06:29.220 cell with. 06:29.230 --> 06:31.830 And so that's a lot of flexibility. 06:31.840 --> 06:38.680 All right so once we are finished with our code we can also save our 2 billion notebook by clicking 06:38.680 --> 06:47.630 here on the safe button and we can also save our Jupiter notebook here safe and check point and then 06:47.630 --> 06:49.610 we can close our Jupiter notebook 06:52.490 --> 06:58.130 and you can see this is now our Jupiter notebook fire and this is here on our dashboard. 06:58.130 --> 07:05.120 And also if we open here our use of fire we can also find here the Jupiter notebook fire here in our 07:05.120 --> 07:12.380 users folder and there the green icon says and that the Jupiter note book is still running even if you 07:12.380 --> 07:13.150 have close it. 07:13.150 --> 07:17.120 So to really close it we have to go here on running. 07:17.690 --> 07:20.870 And here we can see that still one notebook is running. 07:20.870 --> 07:27.160 So we have to shut down at so it's not enough to just close the Jupiter notebook. 07:27.170 --> 07:33.860 So we have to shut down it here and running and now you can see it's black. 07:33.930 --> 07:35.340 All right let's close here. 07:35.340 --> 07:41.310 The Jupiter notebook the dashboard Okay quit. 07:41.490 --> 07:47.330 Yes and before I said that there are two alternatives to open a Jupiter notebook. 07:47.390 --> 07:53.490 So the first alternative is via the an icon navigator and the second is via an Air Canada prompt. 07:53.510 --> 07:55.100 So let's search for it. 07:56.480 --> 08:02.270 And here you can see the anaconda prompt and it is kind of a command style. 08:02.290 --> 08:07.840 So the command is actually the primary interface for managing installation Safari is packages so you 08:07.840 --> 08:14.950 can actually query and search an icon that packages like num pie or pandas and we can check the current 08:15.160 --> 08:21.370 Anaconda installation and we can also create new environments and install and update add on packages 08:21.370 --> 08:23.770 to our existing environment. 08:23.830 --> 08:29.560 However we fly said that the anaconda navigator was the graphical user interface is a little bit more 08:29.770 --> 08:33.640 user friendly and convenient because you don't have to enter manually commands. 08:33.650 --> 08:40.150 So what do I mean with manual command so if you want to open a shop with a notebook here with the anaconda 08:40.150 --> 08:44.490 problem we have to tap in to it. 08:45.610 --> 08:50.530 Note book and then if you press and 08:55.470 --> 08:58.560 actually also our bit of a notebook dashboard opens here. 08:58.560 --> 09:01.510 So here we can see our test tube the notebook. 09:01.530 --> 09:10.230 We can reopen mid and we can see our to get a notebook test one so there are two ways to open our two 09:10.230 --> 09:16.320 better dash plots so either via the anaconda navigator or by the anaconda prompt and yeah it's actually 09:16.320 --> 09:17.310 a matter of taste. 09:17.310 --> 09:18.900 What do you prefer here. 09:18.930 --> 09:21.480 And there you can do whatever you like. 09:21.480 --> 09:21.840 All right. 09:21.840 --> 09:27.060 So now we are finished with this session and the next session we will have a deeper look into the Jupiter 09:27.090 --> 09:27.650 notebook. 09:27.660 --> 09:28.530 See that by.