Results 31 to 40 of about 169,850 (334)
Performance and productivity of parallel python programming: a study with a CFD test case [PDF]
, 2015 The programming language Python is widely used to create rapidly compact software. However, compared to low-level programming languages like C or Fortran low performance is preventing its use for HPC applications.
Basermann, Achim +2 more
core +1 more source
Simplifying Parallelization of Scientific Codes by a Function-Centric Approach in Python
, 2010 The purpose of this paper is to show how existing scientific software can be parallelized using a separate thin layer of Python code where all parallel communication is implemented.
Cai, Xing +3 more
core +1 more source
Comparative analysis of development environments on Python language [PDF]
, 2018 The aim of the study is to analysis a system requirements integrated development environments on Python language. The objectives of research are to analysis the system requirements and functionality of programming environments for the Python language ...
Базурін, В.М. +2 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Probabilistic programming in Python using PyMC3 [PDF]
PeerJ Computer Science, 2016 Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.
John Salvatier +2 more
doaj +2 more sources
Python for gene expression [version 1; peer review: 2 approved]
F1000Research, 2021 Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language.
Leonid Bystrykh
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
ESPECTRO ELETRÔNICO DA MOLÉCULA I2: UMA BREVE INTRODUÇÃO À PROGRAMAÇÃO CIENTÍFICA
Química Nova, 2016 This study proposes an activity to introduce scientific programming. In particular, the multidisciplinary concepts of scientific programming, quantum mechanics, and spectroscopy are presented in the study of the electronic spectrum of the I2 molecule. We
Antonio G. Sampaio de Oliveira Filho +1 more
doaj +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Python for gene expression [version 2; peer review: 2 approved]
F1000Research, 2022 Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language.
Leonid Bystrykh
doaj +1 more source