用于存储 Python 学习示例程序的仓库
numpy-tutorial 开源项目推荐(232 个)
numpy-tutorial 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 232 个仓库数字信号处理(DSP)理论:信号、滤波(IIR、FIR、CIC、MAF)、变换(FFT、DFT、Hilbert、Z 变换)等。
Grokking Deep Reinforcement Learning
中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
Source material for Python Like You Mean it
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
Best Jupyter Notebook Cheat Sheets and Training Docs for Developers 2026
Deep learning library in python from scratch
This repository contains jupyter notebook and other resources made by me during learning Data Science
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
Cheat Sheet generated in the Introduction to NumPy course
A Numpy Tutorial for Beginners
该项目在 GitHub 上没有填写描述
Repository for participants of the "Scientific Python" training
NumPy fundamentals for tensor computation; Matplotlib for data visualization
We design this course with 9 lessons to help beginners can quickly understand and utilize this useful library.
Basics of ML libraries Explained through Jupyter Notebooks
Basic Python learning - notebooks
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/numpy-tutorial。
- 该话题在 GitHub 上共有 232 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.1 万 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。