Parallel Programming Tools in Python

Cornejo-Suárez, Guillermo; Meneses, Esteban

dc.creator	Cornejo-Suárez, Guillermo
dc.creator	Meneses, Esteban
dc.date	2019-08-16
dc.date.accessioned	2021-06-11T01:32:48Z
dc.date.available	2021-06-11T01:32:48Z
dc.identifier	https://revistas.tec.ac.cr/index.php/memorias/article/view/4523
dc.identifier	10.18845/mct.v0i0.4523
dc.identifier.uri	http://hdl.handle.net/2238/13114
dc.description	The Python programming language is widely used in scien- tific computing. Five rankings on the popularity of program- ming languages with different methodologies [1], [2], [3], [4] and [5] list Python in position 1, 4, 2, 3 and 3, respectively. Those rankings considered the number of results returned by web searches, Github projects, questions tagged in StackOver- flow, open job positions, among other variables. As stated in [6], in 2015 approximately 10% of all computer jobs at Texas Advanced Computing Center were Python applications. Also, there exists specific modules for a wide diversity of scientific disciplines. Because of this strong code base and ease of use, Python is commonly the first language learned by engineering, basic and applied science students.	es-ES
dc.format	application/pdf
dc.language	spa
dc.publisher	Instituto Tecnológico de Costa Rica	es-ES
dc.relation	https://revistas.tec.ac.cr/index.php/memorias/article/view/4523/4094
dc.source	Memorias de congresos TEC; 2017: III Jornadas Costarricenses de Investigación en Computación e Informática	es-ES
dc.source	9978-9930
dc.source	10.18845/mct.2017.0
dc.title	Parallel Programming Tools in Python	es-ES
dc.type	artículo original

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