 Hi, so welcome to day two. We see the notes here as usual. So should we talk a little bit about yesterday? How many people were here yesterday or not? How about we add a poll? So yeah, you see right here. If you were here, then add an oh yes or on the no part or partly, and let's see. Are there any other cool questions we can ask for starting off? Yes, today's topic is math bloodlap. That's the big one. And data formats. Good morning. Are we already streaming? Yes, we are live. Hello. All right, then good morning, everybody. Yes. Okay, so there I added a poll about how big of data used with Python, which relates to several things today. Yeah, so any other questions and follow-ups from yesterday? Let's see. Someone asked anything special to know from Tuesday. So if you ask me, the Tuesday session was a pretty, like it really was covering basic kind of things. So the first lessons were about Jupyter and NumPy, which was sort of setting everyone at the same starting level. So if they're new to you, it's worth reviewing them, but if you use them a little bit, it's probably okay. And also it's okay. Like it's always worth learning more about NumPy and Pandas, but you're probably okay for the rest of the lesson. The last lesson from yesterday was Pandas. And we continue with Pandas in a few minutes now. So for that, we really had this high level overview. So because we had to talk both quickly and also rather it was a bad combination of speaking quickly and giving a high and low level overview at the same time. But that's because there is so much to talk about there. So all we hope to give was a starting point and then motivating you to read more yourself. And if Pandas seems like the kind of thing you need, I'd really recommend reading these tutorials like 10 minutes to Pandas and so on. So today we'll basically start from scratch and do something else. So it's not that necessary to look through yesterday if you want to see today's thing. Because it is the first thing. So you have four minutes. It's fine. Did anyone notice the videos are published? So I've slightly refined the video making system. So it's a little bit quicker for us now, which is good. There's a good question here in part of the course. So this is on the course page or the lesson page. Python is strongly and dynamically typed. Strongly means roughly it's not possible to circumvent the type system. Is there any language that behaves the opposite? Does anyone have any answers to that? Well, there's plenty of ways of circumventing the type system in C and C++ because they're so low level. So I guess they are not as strongly typed. Yeah. So that means like reinterpret the memory as a different kind of pointer or something like that. Basically, yes. Okay. I'm casting to a different subclass of a class. Okay. Okay. But really, I don't think there's anything that's weekly and statically typed because that, I don't know. I mean, it doesn't really make sense. But there are weekly typed languages where there are just no types like JavaScript. Rather weakly typed. And then there are statically typed where you have to declare all the types like C and C++. Yeah. That's the kind of thing that I haven't, I haven't really gone that much into the theory of different types of programming paradigms and so on. So anyway, any other questions we should discuss? No comments from the audience. Yeah. I don't see anything. It's also one minute two. Yeah. How's our volume level doing? Should we do our standard test? So one, one, two, two, three, three. Okay. What do you think? If there's no comments on audio, I guess. Okay. Audio levels are good. So yeah. So the big picture of today, first we start with a little bit more of pandas. So we'll show about time series stuff and an overview of something from last time. And then we have a big long lesson on Matplotlib, which is the core plotting library. And that's sort of the basis of all the other plotting stuff. And then there's a quick summary of data formats and then a slightly longer description of productivity tools for Python, things like linters and stuff like that. Okay. But with that being said, let's start. So I will switch to YarnoScreen. Where's all my pointers? So