An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
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Updated
Nov 13, 2022 - Jupyter Notebook
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.
Convert Jupyter Notebooks to Web Apps
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
Programmatically generate SVG (vector) images, animations, and interactive Jupyter widgets
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
A containerised platform for Geographic Data Science
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)
A filesystem-like contents manager for multiple backends in Jupyter
JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook
Guide for Reproducible Research and Data Science in Jupyter Notebooks
A repository with a python multiscript project, ideal for a local development framework for rapid prototyping and also for jupyter notebook related expositions.
A docker image for using Jupyter Notebook and Jupyter Lab, making it easy for you to extend it with the packages you need.
Jupyter notebook magics to embed pythontutor.com within an IFrame in the Jupyter (classic or Lab) notebook using the code from a Jupyter code cell.
Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.
⚡️🧪 Fast LLM Tool Calling Experimentation, big and smol
Introduction to MindSphere Analytics APIs - The notebooks use @mindconnect/mindconnect-nodejs CLI for API calls.
Navigate to variable's definition with a click in JupyterLab (or with a few key strokes)
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."