The modern replacement for Jupyter Notebooks

Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Various notebooks we're working on from either our blog cfe.sh/blog or as general research.

A notebook tutorial series for performing predictive maintenance using machine learning

AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data

A random set of notebooks to analyze the crypto markets

Query Kusto like a pro from the comfort of your Jupyter notebook

Data analysis and reporting tool for quick access to custom charts and tables in Jupyter Notebooks and in the shell.

Tellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.

Introduction to MindSphere Analytics APIs - The notebooks use @mindconnect/mindconnect-nodejs CLI for API calls.

Discover fun stats about your Facebook Messenger usage such as: most used words, most active year, most active hours, etc. using this Jupyter Notebook

Jupyter Notebook/Lab, web-based interactive development environment

Automate your Jupyter notebooks and scripts as web-based reports, tools, widgets, dashboards, forms.

Sample Jupyter notebooks targeting Ganymede gRPC API

Zeppelin notebook online

The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.

Pyhaystack is a module that allow python programs to connect to a haystack server project-haystack.org. Connection can be established with Niagara Platform running the nhaystack, Skyspark and Widesky. For this to work with Anaconda IPython Notebook in Windows, be sure to use "python setup.py install" using the Anaconda Command Prompt in Windows.…

StackQL Jupyter Notebook Demo

Communicating data using Python in a Jupyter notebook