 OK, give me a minute. I hope you can see me. I'm just trying to figure this out. Yeah, hi all. So let's get started. We are going to discuss five forests mainly. So this is by AT&T Labs. I don't work for them. I'm from a non-tech background. I'm shifted to technology. I did some internships, worked with OpenCV, and now deep learning. And my name is Shashank Adho. I'm so sorry. I didn't introduce myself. I hope you're having a great time here. So PyForest is a library, a tool which AT&T Labs has made to make data scientists 10 times faster. And they really do that. And I'll just show you how. So I'll share my screen. I hope you can see it. So we'll be discussing Bamalib, but we're short of time. So we might overshoot. So PyForest is an open-source package that imports all of the Python packages that you would normally use for a data science project, like Pandas, Math Proc Lib, C-Born. And I'll just skip the Bamalib section right now. So as you can see, we're going to import PyForest, load a data set, and we can just start using the libraries like Math.lib, C-Born, Pandas, et cetera. And we don't have to import them separately. No library has to be imported for if you're using PyForest. And Pandas, NumPy, C-Born, Math.lib are used. They are available right now. And we can see for ourselves. So as you can see, we didn't have to import anything. No C-Born. It is as good as importing it. So it is as good as importing a library. And if we don't import it and just instead use PyForest, we'll save a lot of time. And using this has helped many people. And over a month, a data scientist would end up saving a lot of time. So this is a really valuable tool. You can keep building your projects without having a need for importing the libraries. And let's now talk about Bamalib. This is a very interesting document about Bamalib. And we'll first go over this slide here. So for Bamalib, now what it does is, instead of typing the code, you can just interact with the computer like a GUI. And you don't have to type in any code. As you can see here, I would give you the link in the chat so that you can go through it since loading this would take some time. Can we just share this in the chat? After you talk, please go in the event chat and you can share. Yeah, we can. We'll do that later. We'll share it later. Right now, we'll just look at how this works. You install Bamalib and bam. You now have to import Bamalib, import pandas. And as you can see here, you can start using this without writing code for displaying the data for any other purpose, for any purpose that pandas is used for exploring it. Please, please, I've not been loaded. I'll just close to time. I'm so sorry. So it's not loaded. This is embarrassing. I'm really sorry. So here you can see. Generally, we have to use pandas for this. But like you can see, you can filter. You can drop columns. You can sort the different columns without typing any code. And once you explore it, you will also find that you can, if you click on a button, you can also find the corresponding code which Bamalib uses with pandas. I'm really sorry which pandas uses. Along with it, once you click on it and you click on the code section, you can see the code as well. This has saved a lot of time for data scientists. I'm sorry, Sikhsanky, over time. OK, OK, it's fine. I'll share the code. And thanks a lot. I'll share the link. Thank you, thanks a lot.