Results 21 to 30 of about 952,076 (327)
SciPy 1.0: fundamental algorithms for scientific computing in Python
Nature Methods, 2019 SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors ...
Pauli Virtanen +111 more
semanticscholar +1 more source
Advances in Distributed Computing and Artificial Intelligence Journal, 2022 Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman +3 more
doaj +1 more source
HTSeq—a Python framework to work with high-throughput sequencing data
bioRxiv, 2014 Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard work flows, custom scripts are needed. Results: We present HTSeq, a Python library
S. Anders, P. Pyl, W. Huber
semanticscholar +1 more source
Astropy: A community Python package for astronomy [PDF]
, 2013 We present the first public version (v0.2) of the open-source and community-developed Python package, Astropy. This package provides core astronomy-related functionality to the community, including support for domain-specific file formats such as ...
T. P. Robitaille +43 more
semanticscholar +1 more source
Python bindings for the open source electromagnetic simulator Meep [PDF]
, 2011 Meep is a broadly used open source package for finite-difference time-domain electromagnetic simulations. Python bindings for Meep make it easier to use for researchers and open promising opportunities for integration with other packages in the Python ...
Bienstman, Peter +6 more
core +1 more source
PHENIX: a comprehensive Python-based system for macromolecular structure solution
Acta Crystallographica Section D: Biological Crystallography, 2010 The PHENIX software for macromolecular structure determination is described.
Paul D Adams +17 more
semanticscholar +1 more source
Pydpiper: A Flexible Toolkit for Constructing Novel Registration Pipelines
Frontiers in Neuroinformatics, 2014 Using neuroimaging technologies to elucidate the relationship between genotype and phenotype and brain and behavior will be a key contribution to biomedical research in the twenty-first century.
Miriam eFriedel +7 more
doaj +1 more source
Data Structures for Statistical Computing in Python
SciPy, 2010 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 ...
Wes McKinney
semanticscholar +1 more source
ANNarchy: a code generation approach to neural simulations on parallel hardware
Frontiers in Neuroinformatics, 2015 Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel hardware. Another important framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible to implement using these ...
Julien eVitay +3 more
doaj +1 more source
A Python Package to Preprocess the Data Produced by Novonix High-Precision Battery-Testers
Journal of Open Research Software, 2020 We present preparenovonix, a Python package that handles common issues encountered in data files generated with a range of software versions from the Novonix battery-testers.1 This package can also add extra information that makes easier coulombic ...
V. Gonzalez-Perez, +6 more
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