Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

A new scratchpad console, additional customization options, and improved accessibility are now available for Jupyter users.

These are my go-to libraries for Python data crunching.

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Python API and Jupyter widget facilitating interactive visualization of spatial single-cell data with Vitessce. To deploy a new version, increment the version of the Python package in pyproject.toml.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Core Scientific shareholders on Thursday voted down an all-stock acquisition offer from partner and competitor CoreWeave that was valued at the time at $9 billion. They did so following a vote-no ...

Integration for Jupyter notebooks and Microsoft Excel. See the Python Jupyter Notebooks in Excel blog post for more details. Once installed a "Jupyter Notebook" button will be added to the PyXLL ...

Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs. Creating, organizing, ...