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Python in Excel isn't just for programmers—4 useful things you can do with it right now
Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and analyzing keywords.
An algorithm that reduces a large dictionary of order parameters to a smaller set of order parameters by screening for redundancy using a mutual information based ...
Abstract: Kernel density estimation (KDE), a flexible nonparametric technique unconstrained by specific data distribution assumptions, is extensively employed in fault modeling. However, its ...
Abstract: Analog cooperative beamforming (ACB) improves physical-layer security (PLS) by enabling phase-coordinated transmissions among spatially distributed nodes without exchanging channel state ...
ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...
We present TEMPO, a global, temporally resolved dataset of building density and height derived from high-resolution satellite imagery using deep learning models. We pair building footprint and height ...
about: Currently when using pandas dataframe type in the kernel functions, registering the kernel throws a NameError: name 'weakref' is not defined. Adding the support for introspection of a pandas ...
To analyse stroke rate (SR) and stroke length (SL) combinations among elite swimmers to better understand stroke strategies across all race distances of freestyle events. We analysed SR and SL data ...
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