In stock investing, it is important not only to look at individual stocks but also to understand whether the industry as a whole is strong. For example, when the stock price of Company N in the steel ...

This project builds a complete implied volatility surface for SPY options from scratch using only open-source data and tools. It pulls live options data, applies liquidity filters, computes implied ...

Agentic coding already makes plotting easier: give your data to an agent, and it can write a script for you in seconds. But getting a plot is not the same as getting a good plot. That first draft is ...

Microbiome samples are routinely processed by means of low-cost, high-throughput metagenomics DNA sequencing, followed by the creation of microbial community abundance profiles (Calle, 2019), where ...

To automate the process of planning and curating multi-target observation sessions, pysky application builds on the astroplan Python package to identify visible objects during an observation window ...

We describe computations to anticipate products of multistep reaction sequences. The work is based on experimental methods developed earlier to amalgamate synthetic scaffolding reagents with small ...

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...