pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

The recently developed multiscale kernel of R. Opfer [Adv. Comput. Math., 25 (2006), pp. 357- 380] is applied to approximate numerical derivatives. The proposed method is truly mesh-free and can ...

Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...

A two-week regional training course on obtaining site data and developing numerical simulations to characterize and assess processes relevant to bentonite barriers and near-field interactions was held ...