WEBVTT 00:01.640 --> 00:03.930 Hello and welcome back to our costs. 00:03.950 --> 00:09.560 So now we are installing our Python environment and there is actually no single solution for setting 00:09.560 --> 00:15.770 up Python and they're required add on packages so there are many ways to do this and they are we are 00:15.770 --> 00:18.700 using the three Anaconda distribution. 00:18.920 --> 00:24.620 So the anaconda distribution is so to say and all around Caffrey package for everybody who is new to 00:24.620 --> 00:29.440 python as it almost contains everything that we will ever need actually. 00:29.470 --> 00:36.710 And Anaconda has a strong focus on data science and has more or less all data science packages already 00:36.710 --> 00:37.620 included. 00:37.640 --> 00:43.070 So we do not have to install Ed on packages separately which is very convenient for us. 00:43.100 --> 00:45.900 And in this sense we can minimize them. 00:45.920 --> 00:52.330 The installation steps and the installation itself is pretty intuitive and straightforward with an icon. 00:52.640 --> 00:57.820 And also updating our environment is also very comfortable with Anaconda. 00:58.160 --> 01:04.160 And in addition the interactive stupid notebook is also already included in the anaconda distribution 01:04.160 --> 01:10.100 and the Jupiter notebook is actually our coding environment where we would spend most of our time when 01:10.100 --> 01:10.580 we code. 01:11.150 --> 01:17.570 However the advantages of an icon that comes at a cost so the download size is quite large and we will 01:17.570 --> 01:22.010 download a lot of add ons which probably really never need. 01:22.010 --> 01:25.070 So a more advanced user side ways to customize them. 01:25.120 --> 01:32.390 Python environment so what for our purposes it's now best to use the all inclusive Anaconda distribution 01:32.870 --> 01:40.640 and therefore we are not opening our Internet browser and we are searching for the anaconda Web site 01:49.200 --> 01:51.430 and then here we are going to products 01:57.870 --> 02:03.330 and now here we can go to the anaconda distribution the most popular place and there are signs the submission 02:06.130 --> 02:09.130 so now and here you can see here we have the anaconda. 02:09.130 --> 02:20.520 Five point three installer and the download options for Windows for Mac and for Linux so I'm going to 02:20.520 --> 02:26.010 windows as I have a Windows machine and you can also see that there are two options so we have Python 02:26.100 --> 02:31.260 three point seven version and Python two point seven version and three point seven is obviously the 02:31.260 --> 02:35.190 newer version and latest version which we will use. 02:35.190 --> 02:40.080 So the version is three point seventy two point seven are in some cases incompatible. 02:40.080 --> 02:47.000 So if you have legacy code and two point seven and if you want to use this it might make sense to download 02:47.190 --> 02:48.610 version two point seven. 02:48.630 --> 02:53.830 But as we are producing brand new code we are we are using here off costs and the latest version has 02:53.840 --> 03:01.500 three point seven and Morrow we have the option for the 64 bit version and the 32 bit version and if 03:01.500 --> 03:05.880 you do not know which version to install on your machine we can go to the system control panel. 03:05.910 --> 03:07.680 So let's search it here 03:11.310 --> 03:13.080 and they can check in the system type. 03:13.080 --> 03:20.280 So here we have 64 bit operating system and the general rules and that actually all newer machines and 03:20.280 --> 03:23.610 Windows 10 run on 64 bit. 03:23.610 --> 03:30.660 So I think you could also use here the 64 bit but please check before and before we go on with the installation 03:30.690 --> 03:37.770 let's go for a quick tour here on the anaconda page so we can check which packages are included in our 03:37.770 --> 03:48.100 download so let's select here 64 bit Windows and you can see all packages or libraries which will be 03:48.100 --> 03:53.420 downloaded this and the anaconda installer and actually the 03:59.800 --> 04:06.250 so you can see a one library you see a python three point seven but this is only one of many packages 04:06.280 --> 04:07.940 which are downloaded. 04:07.990 --> 04:16.480 So for example we also have the pan US library here for handling tabular data and high level data structures 04:16.480 --> 04:17.800 like time serious. 04:17.830 --> 04:21.970 And for example we also have the very powerful non pi package 04:28.630 --> 04:37.700 so here it is so an umpire is very useful for large numerical data on operations and they are also we 04:37.700 --> 04:44.420 have for example this is the side Fi package for scientific computing and the Met plot led package for 04:44.420 --> 04:48.890 making plots and then visualizations and they are many more actually. 04:48.890 --> 04:55.460 So we really use many of these packages but of course many of we believe are typically never used but 04:55.820 --> 04:57.050 this is OK. 04:57.230 --> 05:05.530 All right so let's go back and we can also have a look at the anaconda documentation so here you get 05:05.690 --> 05:14.600 very useful information on the installation for example so you can go if you have some Linux you can 05:14.600 --> 05:22.260 see detailed information on the installation process here and s also your information on updating and 05:22.260 --> 05:23.540 uninstalling Anaconda. 05:23.620 --> 05:27.840 And they use their guide so you're getting started with Anaconda. 05:29.230 --> 05:31.450 Your first python program. 05:31.690 --> 05:34.210 So we are going through the major steps together. 05:34.250 --> 05:40.170 But yeah for more information feel free here to browse them through the anaconda web page and let's 05:40.180 --> 05:42.220 go back to the download. 05:42.670 --> 05:46.370 So I haven't been those machine I have 64 bit. 05:46.480 --> 05:47.760 So let's click here. 05:49.430 --> 05:57.010 And let's save it for example on my desktop son. 05:57.020 --> 05:58.690 Then let's download here. 05:58.690 --> 06:04.510 The anaconda installer so you can see a test. 06:04.540 --> 06:10.620 Uh 600 megabytes so it will take about three minutes. 06:10.630 --> 06:12.940 So now we are finished with the Download. 06:12.940 --> 06:16.510 And uh yeah we can go now here to our desktop. 06:16.510 --> 06:20.950 And here we can see the downloaded file and yeah we can run it here 06:28.450 --> 06:32.420 and now we can set up and install the Macondo environment. 06:32.470 --> 06:34.710 So let's click next. 06:34.890 --> 06:42.330 Okay we have the license we agree here and we are installing just for us. 06:42.340 --> 06:50.630 So this is recommended here and here we can choose the folder where we want to install Anaconda and 06:50.630 --> 06:53.420 by default it's in the user's folder. 06:54.170 --> 06:59.780 So I would recommend you to just install it in your users folder but actually you can choose whatever 06:59.780 --> 07:01.000 folder you like. 07:01.100 --> 07:06.310 So let's click next. 07:06.310 --> 07:12.720 So now we are installing and installing the take a little bit time. 07:12.930 --> 07:13.370 All right. 07:13.370 --> 07:18.570 So when I come back so our download is completed and let's click here. 07:18.570 --> 07:27.700 Next and here it asks you if you want to download also visual studio code so we skip it here and for 07:27.700 --> 07:32.620 the time being now we don't want to learn more about the anaconda cloud and learn how to get started 07:32.620 --> 07:33.530 with Anaconda. 07:34.180 --> 07:39.930 So we finished now here the process and we have also finished our session. 07:39.930 --> 07:45.570 So in the next session we will open our very first tubular notebook so hope to see it there by.