Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...

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 ...

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 ...

Microsoft on Monday announced a partnership with Elon Musk’s AI startup xAI, bringing its controversial Grok models to the company’s cloud platform Azure. The news came during the kickoff of Microsoft ...

When Storm Kirk tore through Portugal in October 2024, trees fell across roads and thousands of people lost electricity. The winds were so strong they even sent a crane toppling onto four buildings, ...

Google is adding two new features to NotebookLM to make it even more useful. Users can now create Mind Maps for better visualization and identifying connections in content. NotebookLM is also adding ...

Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data ...

AI development is evolving unprecedentedly, demanding more power, efficiency, and flexibility. With the global AI market projected to reach $1.8 trillion by 2030, machine learning brings innovations ...

During the development of a Jupyter Notebook, it is common to run cells multiple times. Every time a cell is run, its output is stored in the .ipynb file format. Because the outputs are saved, this ...