Collection of Snowflake Notebook demos, tutorials, and examples
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Updated
Oct 20, 2025 - Jupyter Notebook
SQL stands for structured query language. It uses commands such as “select”, “insert”, “update”, “delete”. Some common relational database management systems that use SQL are: Oracle, MySQL, Microsoft SQL Server, PostgreSQL, etc.
Collection of Snowflake Notebook demos, tutorials, and examples
The modern replacement for Jupyter Notebooks
Collection of notebooks for use with SingleStoreDB
🍟 a notebook sql client. what you get when have a lot of sequels.
Open SQL files as VSCode Notebooks.
Data Science Student Companion Notebooks and Data Lake
A Notebook with Flexible Customization and Easy Integration.
RAPIDS data science. No setup required.
Black for Databricks notebooks
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
The Vizier kernel-free notebook programming environment
Data Analysis with Jupyter Notebook
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
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.
Analytics and ML notebooks
Created by Donald D. Chamberlin, Raymond F. Boyce
Released 1986