Treffer: Proceedings of the 7th Python in Science conference
Title:
Proceedings of the 7th Python in Science conference
Authors:
Contributors:
Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut des Sciences du Vivant Frédéric JOLIOT (JOLIOT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre Inria de Saclay, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Enthought Inc, The Helen Wills Neuroscience Institute (HWNI), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Gaël Varoquaux, Travis Vaught, Jarrod Millman
Source:
SciPy 2008: 7th Python in Science Conference. :1-78
Publisher Information:
CCSD, 2008.
Publication Year:
2008
Collection:
collection:CEA
collection:INRIA
collection:INRIA-SACLAY
collection:INRIA_TEST
collection:TESTALAIN1
collection:INRIA2
collection:JOLIOT
collection:CEA-DRF
collection:NEUROSPIN
collection:INRIA-ETATSUNIS
collection:INRIA
collection:INRIA-SACLAY
collection:INRIA_TEST
collection:TESTALAIN1
collection:INRIA2
collection:JOLIOT
collection:CEA-DRF
collection:NEUROSPIN
collection:INRIA-ETATSUNIS
Subject Terms:
Subject Geographic:
Original Identifier:
HAL: hal-00502586
Document Type:
Konferenz
conferenceObject<br />Conference papers
Language:
English
Access URL:
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.00502586v1
Database:
HAL
Weitere Informationen
The SciPy conference provides a unique opportunity to learn and affect what is happening in the realm of scientific computing with Python. Attendees have the opportunity to review the available tools and how they apply to specific problems. By providing a forum for developers to share their Python expertise with the wider commercial, academic, and research communities, this conference fosters collaboration and facilitates the sharing of software components, techniques and a vision for high level language use in scientific computing.