Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

Abstract: In this demo, we introduce a new Python library for solving mixed-integer linear programming (MILP) problems based on the hybrid quantum-classical multi-cuts Benders’ decomposition (HQC-Bend ...

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 ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to formally ...

Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

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 ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

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 ...

I want to edit/run Jupyter Notebooks with Spyder. Python environments exist with all needed packages (besides Spyder packages). When running Spyder in an activated ...