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Computing in Science & Engineering
Article . 2021 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.22541/au.16...
Article . 2020 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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Studying Physics, getting to know Python: RC circuit, simple experiments, coding and data analysis with Raspberry Pi

Authors: Andrea Mandanici; Salvatore Alessandro Sarà; Giacomo Fiumara; Giuseppe Mandaglio; Sharon Broude Geva; Dirk Colbry;

Studying Physics, getting to know Python: RC circuit, simple experiments, coding and data analysis with Raspberry Pi

Abstract

Raspberry Pi (RPi) is a well known single-board computer natively equipped with a Linux-based operating system, Raspbian, and a powerful programming language, Python. In this work, we propose an integrated project on physics and computer science exploiting RPi and Python: a set of lab activities, coding, and discussion related to the study of charging and discharging phases of a capacitor in an RC circuit. In our simple experiments, entirely computer-controlled, the RPi and Python scripts are used to: (i) apply a known constant voltage to the circuit at a desired time; (ii) measure the voltage on selected circuit elements as a function of time; (iii) evaluate and analyze experimental data. This approach is based on inexpensive hardware and open source software. It allows a hands-on experience with electric circuits and with dedicated examples of Python coding. The codes involve Python modules such as Numpy, Scipy, and Matplotlib that prove to be easy to use and efficient for our goals, supporting the choice of Python language for further study or research tasks.

Country
Italy
Keywords

Computer circuits; Computer operating systems; Computer systems programming; High level languages; Open source software; Open systems; Timing circuits

  • BIP!
    Impact byBIP!
    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).
    5
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
5
Top 10%
Average
Average
bronze