 Hello folks, welcome. Today I'm here to talk about SimPy. SimPy is a Python library for symbolic mathematics. You can check us out on our website simpy.org. We are one of the scipy or ecosystem libraries. If you know or have used numpy, pandas, we belong to the same ecosystem. Numpy does numerical calculations. Simpy does high-level symbolic calculations, like required in high-level mathematics or physics calculations. You can find out more about us on our website simpy.org, or you can check out our GitHub repository, github.com. We have features to help you in a lot of areas, like mathematics and physics. You can check out our modules. Some examples are geometry, integrals, matrices, and number theory in physics. We have mechanics, optics, quantum. If you want to know more about the library, how to use it, you can check out our documentation, which will be available on docs.simpy.org. The documentation also has a tutorial, which will give you a small tutorial on how to get started with SimPy. We are an open-source library, just like numpy and pandas. If you want to contribute, you can check out our issues on our GitHub repository. If you are new to SimPy and looking for easy-to-fix issues, you can check out the label easy-to-fix. You'll find a lot of issues. We have 3.7k open issues, so there will be a lot of easy-to-fix issues. Also, I will be mentoring for SimPy in DevSprints on Monday. If you go through our documentation and go through SimPy and you like the library and you would like to contribute, please join me on the DevSprint day so we can contribute together to SimPy. Thank you.