A Visual Intro to NumPy and Data Representation
Jay Alammar Visualizing machine learning one concept at a time. Read our book, Hands-On Large Language Models and follow me on LinkedIn, Bluesky, Substack, X,YouTube The NumPy package is the workhorse of data analysis, machine learning, and scientific computing in the python ecosystem. It vastly simplifies manipulating and crunching vectors and matrices. Some of python’s leading package rely on Nu
google/jax: GPU- and TPU-backed NumPy with differentiation and JIT compilation.
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-
101 Numpy Exercises for Data Analysis
Join thousands of students who advanced their careers with MachineLearningPlus. Go from Beginner to Data Science Expert through a structured road map of 70+ courses in 9 core specializations. Build industry grade Data Science projects. The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics. The questions are of 4 levels of difficulties wit
From Python to Numpy
There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you d
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GitHub - nicolaspanel/numjs: Like NumPy, in JavaScript
