Hackers compromised 19 packages on the PyPI, collectively downloaded hundreds of thousands of times, in a new Shai-Hulud ...

Numerical weather prediction models like WRF can produce terabytes of output. Turning that raw data into actionable fields and graphics often becomes a bottleneck: parcel diagnostics, CAPE/CIN, lifted ...

eofs is a Python package for performing empirical orthogonal function (EOF) analysis on spatial-temporal data sets, licensed under the GNU GPLv3. The package was created to simplify the process of EOF ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...

Spatially resolved omics technologies are transforming our understanding of biological tissues. However, the handling of uni- and multimodal spatial omics datasets remains a challenge owing to large ...

We summarize our survey and Python performance evaluation of major scientific data formats that are under consideration for access to heliophysics data in cloud computing environments, which provide ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.

Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to ...

a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...