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ZENODO
Software . 2016
Data sources: Datacite
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ZENODO
Software . 2016
Data sources: ZENODO
Claim

sympy: SymPy 1.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Mar 2016Publisher:Zenodo
Authors: Christopher Smith; Aaron Meurer; Mateusz Paprocki; Ondřej Čertík; Sergey B Kirpichev; Matthew Rocklin; Julien Rioux; +23 Authors
Code repository: https://github.com/sympy/sympy/tree/sympy-1.0

doi: 10.5281/zenodo.47274

sympy: SymPy 1.0

Abstract

See https://github.com/sympy/sympy/wiki/release-notes-for-1.0 for the release notes. Filename Description size md5 sympy-1.0.tar.gz The SymPy source installer. 4.1M 43e797de799f00f9e8fd2307dba9fab1 sympy-1.0.win32.exe Python Windows 32-bit installer. 3.4M b9513840c2387cbfd19d67304da1f0dc sympy-docs-html-1.0.zip Html documentation for the Python 2 version. This is the same as the online documentation. 6.4M 73bb59a01354ebd00e8c5eba473032f8 sympy-docs-pdf-1.0.pdf Pdf version of the html documentation. 9.0M 7cfa5700e5cff95cf6f7cfc8356e795e Note: Do not download the Source code (zip) or the Source code (tar.gz) files below.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
1
Average
Top 10%
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