Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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Updated
Jun 14, 2024 - Python
IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Schulungsmaterialen für den Aufbau und die Nutzung einer Forschungsinfrastruktur auf Basis von Jupyter Notebooks: https://cusy.io/de/seminare
Training materials for setting up and using a research infrastructure based on Jupyter notebooks: https://cusy.io/en/seminars
Ready-to-run Docker images containing Jupyter applications
NebulaGraph Queries and visualization in Jupyter notebook.(previously known as ipython-ngql)
Multi-user server for Jupyter notebooks
A JupyterLite deployment to try JupyterLab, Jupyter Notebook and IPython in the browser
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
Jupyter notebooks in the terminal
Switch from Jupyter Notebooks with vim-editing extensions to a pure way of development in Neovim. Bterm-repl allows you to execute commands and cells of code in an interpreter window
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Plotting library for IPython/Jupyter notebooks
MicroPython integrated into Jupyter notebooks
LLM plugin to run an IPython interpreter or notebook in the LLM virtual environment and use the LLM from within the interpreter or notebook as a magic function.
Jute is a (planned) native notebook for interactive computing.
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
Digital Signal Processing - Theory and Computational Examples
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
strip output from Jupyter and IPython notebooks
Created by ipython
Released January 30, 2006
Latest release almost 4 years ago