BlockPy: An Open Access Data-Science Environment for Introductory Programmers.
Non-computer science majors often struggle to find relevance in traditional computing curricula that tend to emphasize abstract concepts, focus on nonpractical entertainment, or rely on decontextualized settings. BlockPy, a web-based, open access Python programming environment, supports introductory...
| Publicado en: | Computer (00189162) Vol. 50; no. 5; pp. 18 - 27 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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IEEE
May2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=123209413&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 123209413 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: May2017 vid: 50 iid: 5 pid: 13605 pub: IEEE artinfo: ui: 123209413 10.1109/MC.2017.132 ppf: 18 ppct: 9 formats: tig: atl: BlockPy: An Open Access Data-Science Environment for Introductory Programmers. aug: au: Bart, Austin Cory Tibau, Javier Tilevich, Eli Shaffer, Clifford A. Kafura, Dennis affil: Virginia Tech su: Open source software Computer science education Computer programming education Computer training Data science sug: subj: Open source software Computer science education Computer programming education Computer training Data science keyword: Advances in Learning Technologies computer-aided instruction data analysis Distant learning e-learning education Education courses Learning systems Open Access Programming profession web services ab: Non-computer science majors often struggle to find relevance in traditional computing curricula that tend to emphasize abstract concepts, focus on nonpractical entertainment, or rely on decontextualized settings. BlockPy, a web-based, open access Python programming environment, supports introductory programmers in a data-science context through a dual block/text programming view. The web extra at https://youtu.be/RzaOPqOpMoM illustrates BlockPy features discussed in the article. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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