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Scientific Computing and Simulation at PeerJ

Latest articles and preprints

An integrated platform for intuitive mathematical programming modeling using LaTeX
Charalampos P. Triantafyllidis, Lazaros G. Papageorgiou
Parallelisation of equation-based simulation programs on heterogeneous computing systems
Temporal constrained objects for modelling neuronal dynamics
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Phylogenetic analysis of software evolution, a case study: VE&MINT
preprint
Making computer science results reproducible - A case study using Gradle and Docker
preprint
Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics
preprint
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Widely read

Probabilistic programming in Python using PyMC3
John Salvatier, Thomas V. Wiecki, Christopher Fonnesbeck
28,255 views · 4,729 downloads
SymPy: symbolic computing in Python
17,267 views · 4,120 downloads
DAE Tools: equation-based object-oriented modelling, simulation and optimisation software
3,744 views · 1,023 downloads
Journal of Open Source Software (JOSS): design and first-year review
4,123 views · 496 downloads
Sustainable computational science: the ReScience initiative
4,052 views · 419 downloads

Editors' picks

Verifiability in computer-aided research: the role of digital scientific notations at the human-computer interface
Konrad Hinsen
Journal of Open Source Software (JOSS): design and first-year review
Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob T. Vanderplas

Recently cited

SymPy: symbolic computing in Python
Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondřej Čertík, Sergey B. Kirpichev, Matthew Rocklin, AMiT Kumar, Sergiu Ivanov, Jason K. Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Andy R. Terrel, Štěpán Roučka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony Scopatz
58 citations · 17,267 views · 4,120 downloads
Probabilistic programming in Python using PyMC3
John Salvatier, Thomas V. Wiecki, Christopher Fonnesbeck
64 citations · 28,255 views · 4,729 downloads
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This Scientific Computing and Simulation Overlay is a subset of the peer-reviewed articles and rapid preprints found in PeerJ Computer Science and PeerJ Preprints, respectively.

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Practical Data Science for Stats
‘Methods, tools & platforms for Personalized Medicine in the Big Data Era' NETTAB 2017 Workshop Collection.
Open Source Geospatial Research & Education Symposium (OGRS2016)
Tenth annual “Bioinformatics and Computational Biology in Campania” Collection
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