samplics
samplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs. - Published in JOSS (2021)
datasets-herndon-venus-semidiameters
Fifteen observations of the vertical semidiameter of Venus, made by Lieutenant Herndon, with the meridian circle at Washington, in the year 1846.
@stdlib/stats-incr-mstdev
Compute a moving corrected sample standard deviation incrementally.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/datasets-nightingales-rose
Dataset for Nightingale's famous polar area diagram.
@stdlib/datasets-suthaharan-single-hop-sensor-network
Labeled wireless sensor network data set collected from a simple single-hop wireless sensor network deployment using TelosB motes.
@stdlib/datasets-suthaharan-multi-hop-sensor-network
Labeled wireless sensor network data set collected from a multi-hop wireless sensor network deployment using TelosB motes.
stats-incr-mmeanvar
Compute a moving arithmetic mean and unbiased sample variance incrementally.
btp-ai-sustainability-bootcamp
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
https://github.com/alexpreynolds/subset
Draw a subset of lines from a text file
https://github.com/alexpreynolds/disjoint-windows
Build a list of high-scoring, non-overlapping intervals using sampling or scheduling methods
ibp-sop-benchmarks-milp-cellphoneco
Benchmark instances modelling the supply chain of a fictive company producing and selling cell phones and accessories of different types. The instances formulate typical mixed-integer linear optimization problems in the standard MPS format.
stats-incr-nanmstdev
Compute a moving corrected sample standard deviation incrementally, ignoring NaN values.