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

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

A Claude Code plugin that autonomously writes academic papers — from literature search to production-ready LaTeX/PDF. That's it. The plugin ships the academic-search MCP server, the PaperBanana direct ...

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...

sourmash is a tool for biological sequence analysis and comparisons. sourmash compare and sourmash plot produce basic distance matrix plots that are useful for comparing and visualizing the ...

This work describes a useful computational tool for automated morphometry of dynamic organelles from microscope images. However, the supporting evidence and novelty of the manuscript as presented are ...

From zero to production in 6–9 months. What to learn, what to skip, and why most tutorials fail. I’m going to be honest with you. Most AI agent tutorials are garbage. They show you how to copy-paste ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Why is Python so important to data science today? Its simplicity, versatility, and robust support system have made it almost indispensable for data scientists, with Python now appearing as a ...

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...