 Hello and welcome to the Introduction to Python Programming course here at WHO, Auto Bison School of Management in Fallenda, Germany. My name is Alexander Hess, and I'm your instructor. So where are we? Well, I'm in a lecture room, E 102 here on the campus in Fallenda. It's actually one of my most favorite lecture rooms. Why is that? Well, because it's so cozy, here I can usually interact with my students. And interaction is quite important if you teach programming to absolutely newcomers. Because you have to, like, you know, know what are they struggling with? And what is there a better way to know? Well, just take a look over their shoulder on their screen and then see what they are struggling with and then help them out. So why is nobody here except for me? Well, there is this coronavirus going on, as most of you know. And that means that the campuses of most universities around the world have been shut down. And unfortunately, this also holds true for WHO. So I decided this week to spend around about 40 hours in this lecture room on my own and recorded most of my lecture. So you will find my lecture materials online on GitHub, all of them for free. You will find them at github.com, slash webartifacts, slash intro to Python. And you will find everything there. All the materials, instructions, how to install Python, instructions as to how to download the materials and get everything running. And then you will read the materials. The materials are organized as a book that you can read. However, over the past four semesters that I have been teaching this course, I found that students oftentimes they have an easier way if someone explains them to them in a visual way. And that's what I do here. So I just code live in front of the course, in front of the class. And I draw many, many diagrams of what is going on in the computer's memory. And I hope that this really helps to read the book and to understand the concepts and also to learn how to code because coding is an essential skill these days. So WHO is a management school. Therefore, we don't train engineers here. So that is the approach that we take for this programming course. The idea is to teach you everything that you need to know in order to go on and then study anything that has to do with data science, anything that will help you to make better decisions in companies with the help of code and the help of analyzing all the data that you have. So this video is part of an initiative by WHO's marketing team. Hashtag we keep WHO running because we hope that you out there enjoy the videos you keep on studying. And these materials, they are not only intended for the students here at WHO. Again, they are also free available on the internet. If you have any questions, you will reach me under my WHO email address. And if you have any idea of how I can improve this course, just let me know. This was my first time videotaping a course. And I hope I did a good job so that you can understand. But there is probably lots of room for improvement. And so I'm hopefully will receive lots of recommendations. You can do that, for example, via a so-called pool request on GitHub and just download the materials, edit them, improve them and send them back to me. And I will include, of course, your improvements to the course, to the materials. And you will be officially credited for that. And other than that, I hope everyone stays safe and stay at home, find some new hobby, take the time to study, learn new skills, for example coding. And other than that, I hope to see you all back in the fall semester. See you then.