According to the company, Insight Partners led the investment with participation from Mubadala Capital. Bloomberg reported ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

With Poetry, Python finally has a graceful way to manage virtual environments and dependencies for development projects. Here’s how to get started. There should be one—and preferably only one ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

The best way to get started with Pandas is to take a simple CSV of data, for example, a crawl of your website, and save this within Python as a DataFrame. Once you have this store you’ll be able ...

Python is now integrated into Excel via Microsoft 365, allowing users to write Python code directly in spreadsheets using the `=PY` formula, enhancing data analysis and visualization capabilities.

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Additionally, the maintainers of critical projects are being offered free hardware security keys, with support from the Google Open Source Security Team, a sponsor of Python Software Foundation (PSF).

6 min read Scenario Analysis: Python Code Snippets for Forecasting Investment Performance Copy and paste these code snippets to forecast investment performance in any market conditions.

10 min read Investment Style Analysis: Python Snippets for Evaluating Style Drift Copy and paste these code snippets to evaluate investments for style drift.