Python file of the computational framework. by Benoit Haut (9753029)

Hardware parameters of optimal implementations. by Xuzhen He (14676114)

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Locality of reference in optimal implementations. by Xuzhen He (14676114)

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Implementation of the 1D heat model with array programming. by Xuzhen He (14676114)

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Iron content (mg/kg DM) of the whole body of juvenile, semi-adult and adult snakes (line in the box indicates the median, boxes represent lower quartile to upper quartile (25–75%),... by Petra Kölle (5634917)

PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

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Peak and b) cumulative prevalence among the clinically vulnerable population as a percentage of the baseline values when (OOHI) is not implemented, and c) peak and d) cumulative pr... by Joe Hilton (7003265)

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a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

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Expected secondary attack ratios by size. by Joe Hilton (7003265)

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Fig 5 - by Joe Hilton (7003265)

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Parameter notation, choices, and sources for the age- and household structured infection model. by Joe Hilton (7003265)

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Estimated age cohort populations and numbers shielding from ONS data [52, 54], estimated age distribution of shielding population, and proportion of each age group shielding. by Joe Hilton (7003265)

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Convergence of model from initial conditions to exponential growth regime. by Joe Hilton (7003265)

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Fig 6 - by Joe Hilton (7003265)

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Estimated susceptible-infectious transmission probability by household size from House <i>et al.</i> [30]. by Joe Hilton (7003265)

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GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”

Optimal implementation of matrix operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY2D;... by Xuzhen He (14676114)

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An open-source python-based software for GRACE(-FO) ellipsoid and topography correction by Fan Yang (10174283)

“…<div><br></div><div>Tips for the usage of the software:</div><div>1. A successful implemention of the software requires a Python environment, and Anaconda is recommened. …”