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The fastai deep learning library
The fastai book, published as Jupyter 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.
Interactive Data Visualization in the browser, from Python
Automate code & data workflows with interactive Elixir notebooks
Build data pipelines, the easy way 🛠️
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
The modern replacement for Jupyter Notebooks
Repository containing notebooks of my posts on Medium
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Pro Data Tools 🛠️ for VS Code IDE 🧙♂️: DuckDB Pro Tools, PRQL Code Lens, new Markdown SQL Pro Tools, upcoming Data Notebooks 📚 Pro Tools docs and demos, etc.
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.