Data Structures for Statistical Computing in Python
Wes McKinney
- pp 56-61
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TLDR
P pandas is a new library which aims to facilitate working with data sets common to finance, statistics, and other related fields and to provide a set of fundamental building blocks for implementing statistical models.Abstract:
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models. We will discuss specific design issues encountered in the course of developing pandas with relevant examples and some comparisons with the R language. We conclude by discussing possible future directions for statistical computing and data analysis using Python.read more
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The GOGREEN survey: Post-infall environmental quenching fails to predict the observed age difference between quiescent field and cluster galaxies at z>1
Kristi Webb,Michael L. Balogh,Joel Leja,Remco F. J. van der Burg,Gregory Rudnick,Adam Muzzin,Kevin Boak,P. Cerulo,David G. Gilbank,Chris Lidman,Lyndsay Old,Irene Pintos-Castro,Sean L. McGee,Heath Shipley,Andrea Biviano,Jeffrey C. C. Chan,Michael C. Cooper,Gabriella De Lucia,Ricardo Demarco,Ben Forrest,Pascale Jablonka,Pascale Jablonka,Egidijus Kukstas,Ian G. McCarthy,Karen McNab,Julie Nantais,Allison Noble,Allison Noble,Bianca M. Poggianti,Andrew M. M. Reeves,Benedetta Vulcani,Gillian Wilson,Howard K. C. Yee,Dennis Zaritsky +33 more
TL;DR: In this article, the star formation histories and mass-weighted ages of quiescent galaxies in 11 galaxy clusters and in the field at 1 1 has been driven by different physical processes than those at play at z=0.
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Vertically Resolved Magma Ocean-Protoatmosphere Evolution: H2, H2O, CO2, CH4, CO, O2, and N2 as Primary Absorbers.
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Rhesus and cynomolgus macaque immunoglobulin heavy-chain genotyping yields comprehensive databases of germline VDJ alleles.
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ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation
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