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Kirk Borne has spotlighted a new guide titled "Financial Theory with Python: A Gentle Introduction."
The guide is designed to provide users with foundational knowledge in using Python for financial analyses, emphasizing data science tools like Numpy and PANDAS. This effort illustrates how computational finance and fintech can benefit from Python’s capabilities.
Borne’s focus on foundational programming for finance is closely aligned with broader trends in quantitative analysis. The interplay between Python-based tools and financial modeling continues to reshape the industry, reflecting themes he explored in his assessment of the machine learning impact on financial risk management, where advanced algorithms are redefining traditional risk frameworks.