Suchergebnisse - Python (programming languages)

Performance comparison of Julia and Python programming languages based on available literature

Autoren: Mateusz Maj

Quelle: Computer Science and Mathematical Modelling. 0:5-17

The High Demanding Programming Language for Data Science-Python

Autoren: Mr.Alok Kumar*1 Mr. Pradeep Kumar Sharma *2 Mr.Mohit Kumar Tyagi*3

Quelle: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

METHODS OF SOLVING PHYSICAL PROBLEMS IN PYTHON AND PASCAL PROGRAMMING LANGUAGES

Autoren: Safarova, Sara Ibrahim daughter

Schlagwörter: programming, interdisciplinary communication, algorithm, computer technology

EFFECTIVENESS OF DESIGNING A CHAT BOT WITH AN INTEGRATED NEURAL NETWORK IN ONE OF THE WELL-KNOWN PYTHON PROGRAMMING LANGUAGES

Autoren: Khava A. Gubasheva Leysan M. Sungatullina Lyalya V. Akhmetvaleeva

Quelle: EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA. :200-204

Comparison of C# and Python programming languages in terms of performance and coding on SQL server DML operations

Autoren: Yeşilyurt, Mahmut Ayik, Yusuf Ziya

Quelle: Volume: 4, Issue: 123-33
NanoEra

Schlagwörter: Nanoteknoloji (Diğer), Nanotechnology (Other), C#, Python, MSSQL, DML Operations, Code Writing, Performance

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/nanoera/issue/85438/1490073

Investigating the impact of adopting Python and C languages for introductory engineering programming courses

Autoren: Dennis G. Balreira Thiago L. T. da Silveira Juliano A. Wickboldt

Quelle: Computer Applications in Engineering Education. 31:47-62

Schlagwörter: 4. Education, 05 social sciences, 0503 education

Comparative study about data speed acquisition and recording in a MySQL database of LabVIEW, MATLAB and Python programming languages

Autoren: Lehel Szabolcs Csokmai Cornelia Mihaela Novac Ovidiu Constantin Novac et al.

Quelle: 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). :1-4

Comparative Analysis on the Evaluation of the Complexity of C, C++, Java, PHP and Python Programming Languages based on Halstead Software Science

Autoren: Kevin Agina Onyango Geoffrey Wambugu Mariga

Quelle: International Journal of Computer and Information Technology(2279-0764). 12

Studying the Execution Time of Crud Operators in the Relational and Non-Relational Databases in the PHP and PYTHON Programming Languages.

Autoren: Irakli, BASHELEISHVILI Avtandili, BARDAVELIDZE

Quelle: Journal of Computer Science & Control Systems. Oct2021, Vol. 14 Issue 2, p5-8. 4p.

Schlagwörter: Relational databases, Python programming language, Nonrelational databases

The use of R and Python programming languages in sociology degrees in Spain: a runaway train ; El uso de lenguajes de programación en los grados de sociología en España: un tren que se escapa

Autoren: Cantón-Correa, Javier

Quelle: Revista de Sociología de la Educación-RASE; Vol. 18 No 1 (2025): Misceláneo - Monográfico Innovación Docente en Sociología ; 250-263 ; Revista de Sociología de la Educación-RASE; Vol. 18 No. 1 (2025): Misceláneo - Monográfico Innovación Docente en Sociología ; Revista de Sociología de la Educación-RASE; Vol. 18 Núm. 1 (2025): Misceláneo - Monográfico Innovación Docente en Sociología ; 2605-1923

Schlagwörter: Sociology, programming languages, data analysis, Python, academic curriculum, Sociología, Lenguajes de programación, análisis de datos, currículo académico

Dateibeschreibung: application/pdf

Relation: http://turia.uv.es/index.php/RASE/article/view/29538/31989; http://turia.uv.es/index.php/RASE/article/view/29538

Verfügbarkeit: http://turia.uv.es/index.php/RASE/article/view/29538

A Program For Reading Numbers In c++ And Python Programming Languages

Autoren: Shavkatjon Ibrahimovich Fozilov1 Ulugbek Nuriddinovich Ibrohimov

Quelle: Procedia of Theoretical and Applied Sciences ; Vol. 15 No. 2 (2024): February; 19-21 ; 2795-5621

Schlagwörter: Numerical numbers, numbers, Latin, python

Dateibeschreibung: application/pdf

Relation: http://procediaonline.org/index.php/applied/article/view/1414/1247; http://procediaonline.org/index.php/applied/article/view/1414

Verfügbarkeit: http://procediaonline.org/index.php/applied/article/view/1414

Comparison of C# and Python programming languages in terms of performance and coding on SQL server DML operations

Autoren: Ataturk University Mahmut, YEŞİLYURT Yusuf Ziya, AYIK

Weitere Verfasser: Ataturk University Mahmut, YEŞİLYURT Yusuf Ziya, AYIK

Relation: https://zenodo.org/records/12547651; oai:zenodo.org:12547651; https://doi.org/10.5281/zenodo.12547651

Verfügbarkeit: https://doi.org/10.5281/zenodo.12547651
https://zenodo.org/records/12547651

Introduction to Scientific Programming with Python

Autoren: Sundnes, Joakim

Schlagwörter: Computational Science and Engineering, Professional Computing, Programming Techniques, Software Engineering/Programming and Operating Systems, Mathematics of Computing, Programming Language, Software Engineering, programming, Python, computational science, data science, object oriented programming, open access, Maths for scientists, Applied computing, Computer programming / software engineering, Operating systems, Mathematical theory of computation, Maths for computer scientists, Textbook, Computing and Information Technology

Dateibeschreibung: application/pdf

Relation: Simula SpringerBriefs on Computing

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/39979

Python: The future programming language

Autoren: Tripathi, Ramesh Chandra¹

Quelle: Asian Journal of Multidimensional Research 10(11):105-109. 2021

Performance analysis of arithmetic algorithms implemented in C++ and Python programming languages

Autoren: A.K. Novokshonov

Quelle: PROBLEMS IN PROGRAMMING. :026-031

Schlagwörter: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Introduction to Scientific Programming with Python

Autoren: Joakim Sundnes

Resource Type: eBook.

Schlagworte: Python (Computer program language)

Categories: MATHEMATICS / Applied, COMPUTERS / Computer Science, COMPUTERS / Programming / General, COMPUTERS / Languages / General, COMPUTERS / Software Development & Engineering / General

Conceptual Analysis of Analogical Transfer in Common Programming Languages

Autoren: Owen, Rosalind Houchins, Jennifer Matlen, Bryan et al.

Quelle: Proceedings of the Annual Meeting of the Cognitive Science Society. 47

Schlagwörter: Education, Analogy, Language understanding, Learning, Pattern recognition

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/9z0408kn
https://escholarship.org/content/qt9z0408kn/qt9z0408kn.pdf

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Exploring Programming Aptitude: Comparing the Predictive Utility of Language Aptitude Subskills for Python and Java Learning

Autoren: Mottarella, Malayka Mortimore, Katherine Prat, Chantel

Quelle: Proceedings of the Annual Meeting of the Cognitive Science Society. 46

Schlagwörter: Education, Psychology, Instruction and teaching, Language and thought, Language development, Language learning, Language understanding, Learning, Memory, Multilingualism, Problem Solving, Semantics, S

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/5ps223b8
https://escholarship.org/content/qt5ps223b8/qt5ps223b8.pdf

Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS

Autoren: Johnson, Jeanette AI Tsang, Ashley P Mitchell, Jacob T et al.

Quelle: Nature Protocols. 18(12)

Schlagwörter: 46 Information and Computing Sciences (for-2020), 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Data Science (rcdc), Bioengineering (rcdc), Generic health relevance (hrcs-hc), Bayes Theorem (mesh), Algorithms (mesh), Programming Languages (mesh), Single-Cell Analysis (mesh), Bayes Theorem (mesh), Algorithms (mesh), Programming Languages (mesh), Single-Cell Analysis (mesh), Bayes Theorem (mesh), Algorithms (mesh), Programming Languages (mesh), Single-Cell Analysis (mesh), 03 Chemical Sciences (for), 06 Biological Sciences (for), 11 Medical and Health Sciences (for), Bioinformatics (science-metrix)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/1bp3r06w
https://escholarship.org/content/qt1bp3r06w/qt1bp3r06w.pdf