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

ReadSightPy measures text readability across 86 languages using 17 readability formulas with language-specific coefficients. Syllable counting is powered by the Frank M. Liang (TeX) hyphenation ...

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

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Anaconda is ...

Squidpy is the scverse toolkit for scalable analysis and visualization of spatial molecular data. It builds on scanpy and anndata, providing streamlined APIs for feature extraction, spatial statistics ...

As AI tool usage has become more common, I’ve seen impressive examples of people building tools to automate complex processes that once required significant manual effort. I’ve also seen teams adopt ...

*I (mim2026) am a side-hustling dad raising twins. I use AI (Claude) to operate Blender and create 3D models without any prior programming experience (I haven't written a single line of code). This ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

I'm FD, and I have too many things I want to do, so everything ends up half-finished. This time, I'm recording the fact that the accuracy of my 'Horoscope Calculation App,' which I've been developing ...

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