Topic

In this talk, I’ll take you on a journey through the creation of xsNumPy, a minimalist implementation of core NumPy features using Python’s standard library. I’ll begin by sharing the inspiration behind the project — my curiosity to unravel the mechanics of NumPy and deepen my understanding of numerical computing. Then, we’ll explore the step-by-step development process, including designing a basic array object, implementing element-wise operations, and tackling challenges like scalability and performance optimization without external libraries. Along the way, I’ll highlight the Pythonic principles and best practices that guided the project, compare xsNumPy’s functionality with NumPy, and reflect on the lessons learned. Finally, I’ll discuss how xsNumPy can serve as a learning tool for developers and educators, and invite the community to join this open-source experiment in computational discovery.