Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Using an LLM to migrate a Python web app to Rust seemed like a fun project, but then hit the bumps. Take a wild ride with us, as we use a large language model to convert a Python app to Rust. Also, ...

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

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pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

When the sun shines, there’s nowhere better to be than sprawled on the grass with friends, a bottle of wine and a spread of picky bits Emma is a freelance travel journalist and long-standing ...

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 ...