Data notebooks as the atomic unit for Reinforcement Learning
By Jakub Jurovych
•Updated on May 13, 2026
Deepnote research: our notes on building agents
Blog
Your data team is already building a context layer. They just don't call it that.
By Jakub Jurovych
•Updated on May 13, 2026
Latest releases
Ultimate guide to Caffe library in Python
Caffe is an open-source deep learning library known for its focus on convolutional neural networks (CNNs) and computer vision tasks
By Katerina Hynkova
•Updated on August 20, 2025
Ultimate guide to Celery library in Python
Updated on August 20, 2025
Ultimate guide to DuckDB library in Python
DuckDB is an open-source, embeddable analytical database engine designed for high-performance SQL queries on local data.
By Katerina Hynkova
•Updated on August 20, 2025
SciPy in Python: the ultimate quickstart guide
SciPy is a free open-source Python library for scientific and technical computing.
By Katerina Hynkova
•Updated on August 19, 2025
What is NumPy in Python?
NumPy (short for Numerical Python) is a fundamental library for scientific computing in Python.
By Katerina Hynkova
•Updated on August 18, 2025
Ultimate guide to Pandas library in Python
Pandas is an open-source library for the Python programming language, designed to simplify data manipulation and analysis.
By Katerina Hynkova
•Updated on August 18, 2025
Deepnote acquires Hyperquery
Deepnote has signed a definitive agreement to acquire Hyperquery, a visionary startup in the data analytics space. We are unifying the data analytics market and integrating Hyperquery’s capabilities and customers into Deepnote, the leading AI-powered data notebook.
By Jakub Jurovych
•Updated on July 29, 2024