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Micro:Vote: An Introduction to Python using the BBC micro:bit

Megan Venn-Wycherley Orcid Logo, Chris Bennett Orcid Logo

Swansea University Author: Megan Venn-Wycherley Orcid Logo

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DOI (Published version): 10.1145/3519937

ISBN: 9781450394406
Published: New York, NY, USA ACM 2023
URI: https://cronfa.swan.ac.uk/Record/cronfa71690
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last_indexed 2026-04-24T04:16:44Z
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title Micro:Vote: An Introduction to Python using the BBC micro:bit
spellingShingle Micro:Vote: An Introduction to Python using the BBC micro:bit
Megan Venn-Wycherley
title_short Micro:Vote: An Introduction to Python using the BBC micro:bit
title_full Micro:Vote: An Introduction to Python using the BBC micro:bit
title_fullStr Micro:Vote: An Introduction to Python using the BBC micro:bit
title_full_unstemmed Micro:Vote: An Introduction to Python using the BBC micro:bit
title_sort Micro:Vote: An Introduction to Python using the BBC micro:bit
author_id_str_mv 14fcf5cb2a9b90e413c56fab27136fb9
author_id_fullname_str_mv 14fcf5cb2a9b90e413c56fab27136fb9_***_Megan Venn-Wycherley
author Megan Venn-Wycherley
author2 Megan Venn-Wycherley
Chris Bennett
format Book
publishDate 2023
institution Swansea University
isbn 9781450394406
doi_str_mv 10.1145/3519937
publisher ACM
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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published_date 2023-07-10T07:50:29Z
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