 Hei, minä olen Simo Tuomiston. Ja minä olen Richard Dorst. Ja me olemme täällä, että puhutaan Anaconda-ympäristöä via www.anaconda.ympäristö. Kyllä. Tämä on esim. tämän kohdesta data-analysisen palveluja Arran Python. Joten ensimmäinen jälkeen pitäisi installata Anaconda-ympäristöä perustamme. Joten voitte installata Anaconda-päivässä. Ja tässä pysyä downloada ja sitten pysyä installataan. Me olemme tehtyä installata sinua omaa käyttöä, joten ei ole kaikkia käyttöä, koska se on vaikeaa problema later on tai ei ole kaikkia problema later on. Joten se on parempi installata sinua omaa käyttöä, koska sitten kaikki toimii asiaa käyttöä. Okei, kun sinulla on successfully installed the Anaconda navigator and the Anaconda, you should start the Anaconda navigator from your start menu and you will get an interface looking like this. Okei, nyt voimme continue with the actual installation. Joten, from here in the windows page you can see the instructions. Let's download first the environment file. So, we are going to be installing a huge bunch of software. So, I will save the link us and save it to some downloaded folders. And we will be using that environment to describe what kind of environment we want to create. So, in this case environment is basically one self-contained directory that has a bunch of package installed. So, the reason we do this is so that what you install here won't affect anything else. Yes. Anaconda can provide you with a lot of different packages at the same time. So, let's click here at the bottom this is import button and over here let's put data analysis as the name of our environment that we want to create. And let's import our environment specification by going to let's go here to the environment and import it. So, this takes some time because there's a lot of different software that has to be downloaded and then figured out and it's not just what we say but there's a lot of other dependencies here. Yes. So, now we'll pause the video and come back when it's done. It could be how long can it take Simo? It can take multiple minutes depending on what kind of hard drive you have. It will download up to well, a gigabyte of stuff so it better not be in a 3G connection but yeah it will take a few minutes or five minutes or something like that, ten minutes depending on situation. But as long as the bar at the bottom is running, you will know that it's still going on. So, we'll see you shortly. Welcome back. So, that took 10 or 15 minutes. Yeah. Quite long. But yeah, we finally got this. So, we now have the data analysis environment. Here you can see the environment and it contains all of these different packages. Okay, so now we want to actually run our notebook server from here. So, let's go to the home page and you can see that, well, I had it already chosen the data analysis environment. So, if you have it chosen, you can now launch a Jupyter lab session over here and it will launch it will probably launch on this window, yes. So, let's put it over here. Yeah. It automatically finds the web browser. Yeah, it will automatically find the web browser. You might get this if you're running it on Windows or Linux or Mac, you might get this kind of an error just press build it doesn't really matter. Okay, now you are most likely in your own user folder where you are currently situated and now you can run let's put this over here from the instructions page you can now run this console Python console over here and run these two commands. So, what this does is that it imports the Python skit library so you copy them here and shift enter to run. It will use the Python skit library to import or clone the repository that we use for the cause. So, if you go you can see that there's now this data unless it's workflows folder and there's stuff that has happened here. So these are the cause materials that we'll be using. Later on we'll be talking about how to update this material once we update it ourselves but currently we can now test our installation. The first thing we need to test is the downloading of the data sets. The data sets are available here. They are in this notebook and if you now run this notebook you can see it will start downloading the data sets to the data folder. So here in the data folder there's plenty of data sets that are appearing. Yes, there they are. And it's done. And now if you're running the Python part of the cause you should go to the Python exercises and check out exercise one and run and run all cells and check that it works correctly. The first cell might take a while because they might plot a little library that handles the plotting. It will construct some fonts and stuff like that. So this first cell might take a while for the first time you run it. Okay. And now here we we see that the notebook works correctly. If you are planning on using R, go to the R exercises and run the first notebook and run all cells and you will see that it will import these R libraries. It might take a while for a second for the first time when you load it. But it should get there eventually. Yeah, so now you can see that the stuff happening. Yeah. At the end you should have few nice plots like this. Yes. Okay, so this concludes the installation for Windows. Okay. And you can now drop down to server and wait for the course to start. Yes. So remember the key points were install anaconda, which we didn't show so install the environment and then start JupyterLab, download the data and then test running one of the notebooks. So good luck. Bye.