I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

The two worlds of Excel and Python are colliding thanks to Microsoft’s new integration to boost data analysis and visualizations. The two worlds of Excel and Python are colliding thanks to Microsoft’s ...

In recent years, high inflation and global conflict busted economist predictions. How well are your funds or portfolios prepared to weather market surprises? Scenario analysis can help portfolio ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

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If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Investors choose funds in the hopes that they align with their risk preferences and long-term goals. If funds drift from their stated intentions, investors could end up lost at sea. Funds need to ...

There’s more than one way to thread (or not to thread) a Python program. We point you to several threading resources, a fast new static type checker from Astral, a monkey patch for Pandas that adds ...