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Could be pronounced as key-math. The Kotlin Mathematics library was initially intended as a Kotlin-based analog to Python's NumPy library. Later we found that kotlin is a much more flexible language and allows superior architectural designs. In contrast to numpy and scipy it is modular and has a lightweight core. The numpy-like experience could be achieved with math-for-real extension module.

It has been nearly five years since the project began, and the related technical points of Kotlin and Jetpack have also been updated a lot, and they have become the first choice for Android development. There are many star Jetpack best practices on GitHub. This project is positioned as an entry-level nanny-level tutorial for novices. Learn it step by step by component, understand its application and principles, and then talk about combination and architecture. The new design and development...