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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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This Analysis Evaluates The Architectural And Functional Distinctions Between The Procedural Efficiency Of C And The High-level Abstraction Of Python. It Examines How C Provides Low-level Memory Control And Performance, While Python Emphasizes Developer Productivity And Rapid Application Development.

Authors: Sachin Kumar;

This Analysis Evaluates The Architectural And Functional Distinctions Between The Procedural Efficiency Of C And The High-level Abstraction Of Python. It Examines How C Provides Low-level Memory Control And Performance, While Python Emphasizes Developer Productivity And Rapid Application Development.

Abstract

Programming languages are essential tools for developing software and applications. They are generally classified based on their level of abstraction and programming paradigm. Procedural and high-level programming languages represent two important categories in computer science education and practice. This research paper presents an analysis of C, a procedural programming language, and Python, a high-level programming language. The paper explains their basic concepts, features, execution models, memory management techniques, advantages, limitations, and application areas. The objective of this study is to help students and beginners understand the fundamental differences between procedural and high-level languages through the comparison of C and Python, enabling them to select an appropriate language based on learning and application requirements.

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    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).
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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