These are my go-to libraries for Python data crunching.

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

Prestigious journal Nature has published a peer-reviewed critique of Microsoft's claims to have made quantum computing breakthroughs – and the scientist who wrote the paper has essentially said ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

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 ...

PyCharm, DataSpell, and VS Code offer strong features for large projects. JupyterLab and Google Colab simplify data exploration and visualization. Thonny, Rodeo, and Sublime Text are good for ...

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 ...

Another Python plotting library, really?? There is no shortage of quality plotting libraries in Python. Basic plots with default styling are often easy, but acheiving complex figures with subplots, ...

One important aspect of behavioural studies is quantifying how animals move. Recently developed tools such as DeepLabCut and SLEAP, have made it easier for researchers to track how animals move. These ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...