Convert Jupyter Notebooks to Web Apps
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Updated
Jul 8, 2024 - Python
Convert Jupyter Notebooks to Web Apps
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Programmatically generate SVG (vector) images, animations, and interactive Jupyter widgets
一键修复与安装脚本(各种linux系统修复与服务器环境安装脚本) One-click repair and installation scripts (various linux system repair and server environment installation scripts)
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Navigate to variable's definition with a click in JupyterLab (or with a few key strokes)
Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.
A filesystem-like contents manager for multiple backends in Jupyter
⚡️🧪 Fast LLM Tool Calling Experimentation, big and smol
A containerised platform for Geographic Data Science
Guide for Reproducible Research and Data Science in Jupyter Notebooks
JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook
Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.
Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
notebook files as source
A standalone OS X app for Jupyter. Runs Jupyter Lab/Notebook in its own separate browser. Allows for the launching of Jupyter Lab/Notebook from the dock just like any other app, and it even comes with its own pretty Jupyter icon. Built using bash and Chrome
Develop from any device with a browser.
Add a description, image, and links to the jupyter-lab topic page so that developers can more easily learn about it.
To associate your repository with the jupyter-lab topic, visit your repo's landing page and select "manage topics."