In this blog post I talk about the work that I was able to accomplish during my internship at Quansight Labs and the efforts being made towards making array libraries more interoperable. Going ahead, I'll assume basic understanding of array and tensor libraries with their usage in the Python Scientific and Data Science software stack. As someone who's been involved in the Data Science domain for more than four years now, I can't think of any of my projects without using an array/tensor library. Over time, NumPy (more than 15 years old today) has become a blind

Array Libraries Interoperability slides: hackmd.io/@anirudh/tqz-array-interop Projects Involved Array-API uarray SciPy

Array Libraries Interoperability! link: https://hackmd.io/@anirudh/scipy-interop SciPy FFT import numpy as np import scipy.fft # Basic y_numpy = scipy.fft.fft(np.arange(10))

Intern Talk On Campus vs Off Campus Circuital/ Non Circuital Getting into Machine Learning Why should you Open Source? What should you do now? slide: https://hackmd.io/@anirudh/intern_talk