IPython 是一个专注于 Python 的交互式计算工具,其 GitHub 账户包含多个公共代码库,主要使用 Python、Jupyter Notebook 和 HTML 等语言。该组织的主要项目包括 IPython 本身、用于并行计算的 ipyparallel 以及其他与 Jupyter 相关的资源,展示了其在数据科学和计算领域的广泛应用。
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
IPython Parallel: Interactive Parallel Computing in Python
The xkcd font
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
IPython Kernel for Jupyter
A lightweight Traits like module
Package / Module importer for importing code from Jupyter Notebook files (.ipynb)
File system based database that uses python pickles
IPython website sources. Any fixes to the website should be done on this repository.
Old builds of all the documentation for IPython's various releases, plus current development tree.
Readline Interface for IPython 5.4+
Inline Matplotlib backend for Jupyter
Providing default representations of common objects in Python land
Salt States for nbviewer
Talk about IPython frontends and backends for PyData SV 2014
Talks and demonstration notebooks about IPython, to be used by anyone (all materials CC-BY licensed)
Marketing materials for IPython: logos, banners, stickers, etc.
Python Comm implementation for the Jupyter kernel protocol
Auto-generated sphinx version of the IPython website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual sources are in the ipython-website repository.
Vestigial IPython utilities: DO NOT USE
[Deprecated] Ansible playbook for our Jenkins server
A paper about the IPython Notebook written in 2013
Introduction to the IPython Notebook at MozFest 2014
Progress reports for the Sloan 2013-14 grant.
Materials for and results from user surveys
此仓库未提供描述。
此仓库未提供描述。
Pygments lexers for syntax-highlighting IPython code & sessions
IPython 在 GitHub 上构建了多个与交互式计算和数据科学相关的项目,包括 IPython、ipyparallel 和 ipykernel。这些项目为用户提供了强大的计算工具和学习资源,支持多种编程语言。
IPython 主要使用 Python、Jupyter Notebook 和 HTML 等编程语言。该组织的仓库中还涉及 Scheme、TypeScript 和 Shell 等语言,显示了其多样化的技术栈。
是的,IPython 的所有代码库都是公开的。用户可以访问其 GitHub 页面,查看、下载和贡献代码,促进开源社区的发展。