Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Pandas TA Classic is an easy-to-use library that leverages the Pandas package with 150 indicators and utility functions and 62 TA Lib candlestick patterns (212 total). Many commonly used indicators ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Abstract: In recent years, the number of patients using continuous glucose monitoring (CGM) has increased. In addition to helping patients manage their disease, CGM produces time series data that can ...

Abstract: With the advent of modernization, it is inevitable from various sources that there is a significant increase in the energy demand. In order to efficiently meet this demand, we need to ensure ...

A general-purpose framework for converting scraped text datasets into structured data and performing systematic analysis using LLM-powered extraction. The framework includes reusable components for ...