 I don't know where I'm speaking of. I don't know where I'm burning. OK, Ladyita. Pilot Plus Community, our newsletter, Adafruit Daily, sign up. We have a completely separate website because we don't want you to be spammed or even think that we spam you. Adafruit.com is where you buy stuff. Learn.adafruit.com is where you learn stuff. And Adafruit Daily is where you subscribe to newsletters. It's where you make show off stuff you've made. So the newsletter, you don't have to subscribe. You can even read it on the website and give it to them. Sesfie, it's on GitHub. We got it every way. So this week on the newsletter, there's benchmarking.adafruit.mitra. I'm 7 versus Raspberry Pi, Pico, Ladyita. This is kind of cool. What is this? Why is this cool? This is cool. OK, so CircuitPython. Look, I'm never going to say CircuitPython is the fastest running code, but it's definitely the fastest way to develop code. It's a lot faster than C or assembly because you're not spending all your time compiling and uploading a year. It's interpreted, so it's instantaneously executed. But because there is a slowdown with interpreted code, there always is. A lot of people are like, well, I want to have what's the fastest chip that can run the code because maybe for some application speed is important. And they don't want to write any C code that gets called from Python. So two really popular chipsets is one is the Metro M7. This is a partnership with DigiKey and NXP. Thank you to them for sponsoring the board development. And this is a Metro-shaped board that has the RT-1011. And the RT-1011 runs at 500 megahertz. It's a Cortex M7. And so that's the beauty chip. It's high frequency and a pretty powerful core with a floating point unit. So it's actually great for CircuitPython. I also have a good amount of RAM. But a lot of people also have a Raspberry Pi Pico. And that's a Cortex M0 running at about 130 megahertz. And so people are like, well, how much faster is the M7? It's like, well, it's probably going to be like four times faster. That actually depends. If you're using the floating point unit, it's going to be even more faster. I'll get up. Yeah. So here's a really nice benchmark test that shows a lot of different things that you can do each application and how long it takes to do a repetitive test. And you do this operation 10,000 times. And then it takes a couple seconds and you can compare it. And in general, the M7 is about five to eight times faster on almost everything, which makes sense. It's about four times faster on the speed. And then the chip is a new model chip. So it's going to give you another two or three times. But check it out. And also what I really like is they have a laptop as well. And that's kind of fun because it's just like, well, how much faster is it on a computer? And computers are very, very good. I'm going to interpret it good. Because it has multi-core processors. Yeah. And this is not a ran or anything, but just one of the things I noticed. So when folks are like, hey, cool. I'm doing Python on microcontrollers. The idea that that's going to be the most optimized bare metal way to do something is not the point of doing interpretive languages on hardware. It's so you can do things in a development process that's fast as possible. Later on, you're always going to do stuff. If you do Arduino, you're going to write C code later. If you do circuit Python, you'll probably do other stuff later. But the chips are fast enough. And you'll be able to do a lot more. And then you can optimize later, just like hardware. Sometimes you have a development board that has all the things in the world. But then when you go to manufacturing, it's only the things that are bare minimum. So there's no intention of like, hey, this is going to be the fastest thing in the world. But it is pretty fast. So that's kind of cool too. But it's not the intention to be the benchmark winner of every single thing. But it is interesting to check out. But this is still good to know. If you're running something on the peak on, you're like, oh, man. Like this, for some reason, you need a faster computation. And you're like, well, how much faster would the M7 be? This can give you an idea without having to go by hardware. Thank you. It's also a community member did this. We didn't do this. That's very nice. Yeah. Also, if you're into circuit Python, we do posters for each version. Or we try to. We have a new poster vendor, which is. The posters are cheaper. Yeah. Yeah. Here's one of the things. People were doing NFTs and digital stuff. We never did. So yeah. We like to do physical posters. It's just hard to find someone in the US who's doing posters at a reasonable price that we can get tubes from. There was also there's some packaging companies that people don't like. So the tubes that they come in are from ULINE. If you're not a fan of that company. There's all sorts of minefields that you have to like navigate around when you do anything. But we have a low cost poster we can get with tubes from a company. It's all local stuff. So hopefully y'all will enjoy it. And then a little bit of a note. It's circuitpython2024 time. If you go to ateafruit.com slash circuitpython2024, you can see our call to the community. What do you want to see in circuitpython? Stuff that you wanted previous years. Some of it got. Yeah. You can look at the previous years and see what you asked for. And if it got in there, it's getting to the point where it's really advancing. You can do lots of different things. So tell us what's interesting, what you want to see more of. I really like all the screen stuff we're doing. You basically make a full computer. So seeing more easy ways to kind of mix and match like I've got a circuitpython-powered keyboard and a screen and a mouse. And I got all these different things. Yeah, lots of going on. Got all these different things. What's the thing that you would like to see? Project examples are a really good idea. And then just look around at the projects that are out there and just be like, oh, wow, this is like really neat. I'd like to do this. I would see it in this programming language. I'd like to see it in like circuitpython. That always helps us. OK. So ateafruit.com delivered to you at your inbox recently. Don't forget to eatafruit.com. OK.