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 ...

To complete the above system, the author’s main research work includes: 1) Office document automation based on python-docx. 2) Use the Django framework to develop the website.

No choppiness between bytestream segments Handles non-real-time streams -- faster and slower than real-time Handles intermittent streams (i.e., streams that may not yield bytes for a while) ...

Abstract: The recognition and tracking of hand gestures are essential elements in human-computer interaction systems, providing intuitive control and facilitating interaction with a wide range of ...