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InteractiveResource . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
InteractiveResource . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
InteractiveResource . 2019
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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Code Camp: 2019 (v1.0)

appsOther research productkeyboard_double_arrow_right InteractiveResource 06 Oct 2019 English Publisher:Zenodo
Authors: Michele Ferretti; Jon Reades; James Millington;

doi: 10.5281/zenodo.3474042 , 10.5281/zenodo.3474043

Code Camp: 2019 (v1.0)

Abstract

'Code Camp' was developed as an easy introduction for geographers—or anyone learning to code for the first time—to the basics of programming in Python using Jupyter notebooks. Materials covered include: variables, operators, errors, lists, dictionaries, and functions. This should take no more than about 14 hours for a complete novice, making it a suitable 'summer school' type foundation for students who are about to embark on a fuller introduction to programming course.

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Keywords

python, introduction, jupyter, geography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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