Publication-aware time-series frequency expansion for Python
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Updated
Jun 15, 2026 - Python
Publication-aware time-series frequency expansion for Python
Quantitative analytic toolkit covering natural gas pricing, storage valuation, loan default risk modeling, and credit rating bucketization, with reusable helpers & visual workflows for pricing and risk teams exploring energy and consumer credit data.
A comprehensive portfolio of quantitative modeling tasks ranging from commodity pricing mechanisms to credit risk assessment and algorithmic quantization.
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