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Abordări metodice în automatizarea sarcinilor cu Python

Authors: Pavel, M.; Pavel, D.I.;

Abordări metodice în automatizarea sarcinilor cu Python

Abstract

În lucrare se abordează metodic subiectul automatizării sarcinilor în era digitală, începând cu descrierea conceptului și finalizând cu exemple practice de automatizare a unor sarcini de rutină cu ajutorul limbajului de programare Python, în contextul studierii acestui limbaj de către studenții specialităților informatice. Exemplele contribuie la o mai bună înțelegere de către studenți a aplicabilității diverselor module Python ce pot fi implementate în automatizarea sarcinilor

The paper methodically approaches the topic of automating tasks in the digital age, starting with the description of the concept and ending with practical examples of automating routine tasks with the help of the Python programming language, in the context of studying this language by computer science students. The examples contribute to a better understanding by students of the applicability of various Python modules that can be implemented in automating tasks.

Country
Moldova (Republic of)
Related Organizations
Keywords

importarea modulelor, studying the Python programming language, modul Python, task automation, importingmodules, Python module, automatizarea sarcinilor, studierea limbajului de programare Python

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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!
0
Average
Average
Average
Green