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undergraduate thesis
Primjena liste i n-torke u programskom jeziku Python
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. urn:nbn:hr:131:695228
Čumlievski, Nola
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Čumlievski, N. (2019). Primjena liste i n-torke u programskom jeziku Python (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:695228

Čumlievski, Nola. "Primjena liste i n-torke u programskom jeziku Python." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:695228

Čumlievski, Nola. "Primjena liste i n-torke u programskom jeziku Python." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:695228

Čumlievski, N. (2019). 'Primjena liste i n-torke u programskom jeziku Python', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:695228

Čumlievski N. Primjena liste i n-torke u programskom jeziku Python [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2019 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:131:695228

N. Čumlievski, "Primjena liste i n-torke u programskom jeziku Python", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:131:695228

Metadata
TitlePrimjena liste i n-torke u programskom jeziku Python
AuthorNola Čumlievski
MentorIvan Dunđer (mentor)
Committee memberSanja Seljan (predsjednik povjerenstva)
Committee memberVedran Juričić (član povjerenstva)
Committee memberIvan Dunđer (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2019-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Ovaj rad bavi se opisom struktura podataka, preciznije jednom od nepromjenjivih struktura podataka (n-torkama) te jednom od promjenjivih struktura podataka (listom) u programskom jeziku Python te njihovim osnovnim karakteristikama. Navedene su specifične karakteristike za obje strukture podataka, način stvaranja pojedine strukture podataka, njihov zapis te operacije i metode koje se mogu primijeniti nad navedenim strukturama podataka. TakoĎer je opisano u kojim slučajevima se odreĎene vrste struktura podataka koriste, za koju svrhu, na koji način, kada je primjereno koristiti promjenjive (liste), a kada nepromjenjive (n-torke) strukture podataka te koja su ograničenja kod uporabe navedenih struktura podataka. Navedeni su odreĎeni primjeri pomoću kojih se može stvoriti jasnija slika o navedenim strukturama podataka i o načinu njihovog korištenja te o tome kako se definiraju. Ideja rada je definirati razlike, prednosti i mane ovih naizgled sličnih struktura podataka te opisati adekvatne načine njihove uporabe koristeći pri tome interpretacijski programski jezik Python.
Abstract (english)
This paper deals with the description of data structures, more precisely with one of the immutable data structures (tuples) and one of the mutable data structures (list) in the programming language Python and their basic characteristics as well. Specific characteristics are being listed for both data structures, also the ways of creating an individual data structure, their notation and operations and methods which can be applied on the previously stated data structures. It is also described in which cases are certain types of data structures used, for what purpose, in what way, when it is appropriate to use mutable (lists) and when immutable (tuples) data structures and what are the usage limitations for both aforementioned data structures. Certain examples are stated by which one can get a clearer picture about the stated data structures, the way they are used and their definition. The idea of this paper is to define the differences, advantages and flaws of these seemingly similar data structures and to describe adequate ways of their application while using the interpreted programming language Python.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:695228
Study programmeTitle: Information Sciences
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-08-22 13:43:13