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1
Learning Data Science with Blockly in JupyterLab:
, In:
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
,
Olney, Andrew M.
;
Fleming, Scott D.
;
Johnson, Jillian C.
- p. 1373 ff. , 2021
Link:
https://dl.acm.org/doi/10.1145/3408877.3439534
RT T1 <cTitle>Proceedings of the 52nd ACM Technical Symposium on Computer Science Education</cTitle>: T1 <Title>Learning Data Science with Blockly in JupyterLab</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3439534&Exemplar=1&LAN=DE A1 Olney, Andrew M. A1 Fleming, Scott D. A1 Johnson, Jillian C. PB ACM YR 2021 K1 blockly K1 blocks programming K1 computational notebooks K1 data science K1 education K1 jupyterlab K1 Software and its engineering K1 Software notations and tools K1 General programming languages K1 Language types K1 Very high level languages K1 Information systems K1 Information systems applications K1 Computing platforms K1 Social and professional topics K1 Professional topics K1 Computing education K1 Mathematics of computing K1 Probability and statistics K1 Computing methodologies K1 Machine learning SP 1373 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3408877.3439534 DO https://dl.acm.org/doi/10.1145/3408877.3439534 SF ELIB - SuUB Bremen
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