5 个仓库
Awesome GitHub RepositoriesMulti-Kernel Code Execution
Runs code blocks in Python, R, Julia, or Observable via separate kernel processes, capturing stdout and rich output.
Distinct from Code Execution Engines: Distinct from Code Execution Engines: specifically supports multiple language kernels (Python, R, Julia, Observable) rather than a single execution engine.
Explore 5 awesome GitHub repositories matching software engineering & architecture · Multi-Kernel Code Execution. Refine with filters or upvote what's useful.
Awesome Multi-Kernel Code Execution GitHub Repositories
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- quarto-dev/quarto-cli
quarto-dev/quarto-cli
5,777在 GitHub 上查看Quarto is an open-source scientific and technical publishing system built on Pandoc that converts Markdown and Jupyter notebooks into a wide range of output formats. It functions as a multi-format document converter, a reproducible research platform, a static site generator for technical content, and an interactive dashboard builder, all within a single framework. The system is distinguished by its ability to produce HTML, PDF, Word, ePub, and slide decks from a single Markdown source, while embedding executable code blocks in Python, R, Julia, or Observable for dynamic, reproducible document
Executes code blocks in Python, R, Julia, or Observable via separate kernel processes.
JavaScript - rstudio/bookdown
rstudio/bookdown
4,052在 GitHub 上查看Bookdown 是一个技术出版框架和文档处理器，用于编写长篇出版物，如书籍和报告。它既是 R Markdown 书籍生成器，也是静态网站生成器，允许用户将叙述性文本与可执行代码及数据可视化内容相结合。 该系统通过管理多文件组装流水线以及为跨文件的图表、表格和公式提供自动交叉引用索引而脱颖而出。它支持针对科学内容的专业排版，包括将定理和证明语法映射到 LaTeX 和 HTML 容器中。 该框架涵盖了广泛的功能，包括生成 PDF、EPUB 和响应式 HTML 网站等多种格式的出版物。它提供了用于动态内容集成（如 HTML 小部件和交互式应用）的工具，以及用于项目结构初始化、云托管部署和公共目录注册的实用程序。
Executes code blocks in R, Python, and other languages to generate dynamic, data-driven content within books.
JavaScriptbookbookdownepub - jakevdp/whirlwindtourofpython
jakevdp/WhirlwindTourOfPython
4,006在 GitHub 上查看这是一个专为教授 Python 编程和科学计算而设计的课程资源和实践教程集合。它由一系列交互式课程和可执行的 Notebook 组成，通过代码与文字相结合的方式提供引导式学习体验。 该课程专为有经验的程序员设计，旨在帮助他们快速掌握 Python 语法、数据结构和核心语言语义。它包含一份关于科学计算和复杂数据集分析所用库及编程环境的入门指南。 教学材料涵盖了 Python 编程基础、高级语法以及数据科学所需的工具集。这些课程通过基于 Notebook 的结构呈现，将叙述性文本、数学符号与实时代码集成在一起。
Provides a kernel-driven execution environment that maintains a persistent backend process to track state between code cells.
Jupyter Notebook - justmarkham/scikit-learn-videos
justmarkham/scikit-learn-videos
3,795在 GitHub 上查看This project is a collection of interactive Jupyter notebooks and a structured machine learning tutorial series. It serves as an educational resource for studying predictive modeling and statistical analysis through a curriculum of executable code examples. The notebooks are specifically designed to accompany video tutorials, integrating external video assets with live code to synchronize visual instruction with hands-on experimentation. This approach allows users to follow sequential lessons while executing and modifying machine learning workflows directly in a browser. The content covers t
Employs kernel-based execution to run code blocks and maintain variable state during interactive sessions.
Jupyter Notebook - phlippe/uvadlc_notebooks
phlippe/uvadlc_notebooks
3,164在 GitHub 上查看This repository provides a collection of interactive Jupyter notebooks designed to bridge theoretical machine learning concepts with practical implementation. It serves as a structured educational curriculum for deep learning, offering hands-on tutorials that guide users through the fundamentals of neural network architectures and their application. The project distinguishes itself by demonstrating identical neural network architectures across multiple industry-standard machine learning libraries, allowing for direct comparison and framework-agnostic learning. It includes utilities to transfo
Supports multiple language kernel processes to maintain state and execute code cells within an interactive document interface.
Jupyter Notebookdeep-learningflaxjax
