polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...
Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
Indonesia ... seeks to leverage the growing nickel demand to position itself at the center of the global energy transition movement. Indonesia’s efforts to achieve ...
Behavior components address How to do it? and Can we do it?, while Arbitrators decide What to do? 🧠 Meta-framework Integrate diverse methods in one decision-making framework. Why not combine ...
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