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 ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Since Github doesn't provide a great way for you to learn about new releases and features, don't just star the repo, join the mailing list. dsq will likely work on other platforms that Go is ported to ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for finance professionals.

Organizing Excel data or transcribing from PDFs. In other words, it is calculated that a task that used to take one hour can now be finished in as little as 9 minutes. Why is it so effective? The ...

A boring setting with huge payoff.

'The future is Python, not VBA.' If you are being swayed by such shallow dualism (a bug), cut your losses on that way of thinking right now. There is no superiority or inferiority in languages. There ...