NumPy作为Python数值计算领域的基础框架，凭借其强大的N维数组结构和丰富的函数生态系统，成为科学家、工程师和数据分析师的核心工具。然而，随着计算需求的快速增长，特别是在机器学习和大规模科学模拟领域，NumPy基于CPU的执行模式以及缺乏内置自动微分功能的限制愈发明显。 JAX正是为了解决这些问题而设计的。作为Google Research开发的数值计算库，JAX致力于将NumPy引入现代硬 ...

JetBrains 发布了第八次年度 Python 开发者调查报告。调查由 JetBrains 和 Python 软件基金会合作完成。结果显示，86% 的受访者表示 Python 是他们的主要语言，用于写程序、构建应用和创建 API 等；50% 受访者只有不到两年的专业编程经验，39% 的受访者只有不到两年的 Python 经验；83% 的 Python 开发者使用旧版本（v 3.12 或以下版本 ...

Pandas和NumPy等库中的向量化是一种强大的技术，可以提高Python中数据操作任务的效率。 可以以高度优化的方式对整个列或数据集合执行操作，从而 ...

NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Note that the imported Numpy and Pandas libraries have been renamed to np and pd to keep the code clean. All the libraries mentioned in this article are either already available with your Python ...

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...