With the PyArrow library installed, pandas 3.0 interprets string columns automatically as the str data type instead of NumPy- ...
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 ...
How chunked arrays turned a frozen machine into a finished climate model ...
The Proteus Actuarial Library (PAL) is a fast, lightweight framework for building simulation-based actuarial and financial models. It handles complex statistical dependencies using copulas while ...
How-To Geek on MSN
Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results