Suchergebnisse - Python assignments

Understanding Students’ Failure to use Functions as a Tool for Abstraction – An Analysis of Questionnaire Responses and Lab Assignments in a CS1 Python Course

Autoren: Haglund, Pontus Strömbäck, Filip Mannila, Linda

Quelle: Informatics in Education. An International Journal. 20(4):583-614

Schlagwörter: abstraction, core concepts, procedural abstraction, data abstraction, CS1, Python, functions, prerequisites, parameter passing, scope, references, Python Tutor

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181833
https://doi.org/10.15388/infedu.2021.26

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Autoren: Jialu Zhang José Pablo Cambronero Sumit Gulwani et al.

Quelle: Proceedings of the ACM on Programming Languages. 8:1100-1124

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Python Source Code Plagiarism Attacks on Introductory Programming Course Assignments

Autoren: Karnalim, Oscar

Quelle: Themes in Science and Technology Education. 2017 10(1):17-29.

Peer Reviewed: Y

Page Count: 13

Descriptors: Plagiarism, Introductory Courses, Programming Languages, Taxonomy, Course Descriptions, Assignments, Undergraduate Students, Classification, Preferences, Student Attitudes, Computer Science Education

Assignments for Introductory Course in Data Science and AI

Autoren: Stotsky, Alexander, 1960

Schlagwörter: ARIMA, mathematical modelling, assignments, automatically graded, forecasting, prediction, Python notebook, dataanalys, linear regression, Statistical methods

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/545882
https://research.chalmers.se/publication/545478
https://research.chalmers.se/publication/545882/file/545882_Fulltext.pdf

ChatGPT and Python Programming Homework

Autoren: Michael E. Ellis K. Mike Casey Geoffrey Hill

Quelle: Decision Sciences Journal of Innovative Education. 2024 22(2):74-87.

Peer Reviewed: Y

Page Count: 14

Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework, Problem Solving, Assignments, Coding, Introductory Courses, College Students, Creativity, Teaching Methods

Repairing Bugs in Python Assignments Using Large Language Models

Autoren: Zhang, Jialu Cambronero, José Gulwani, Sumit et al.

Index Begriffe: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2209.14876

Teaching Nash Equilibrium with Python

Autoren: Luedtke, Allison Oldham (ORCID 0000-0003-3334-008X)

Quelle: Journal of Economic Education. 2023 54(2):177-183.

Peer Reviewed: Y

Page Count: 7

Descriptors: Undergraduate Students, Game Theory, Programming Languages, Assignments, Computer Literacy, Economics Education, Cooperative Learning

Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning.

Autoren: Cahill, Samuel T. Young, Joseph E. B. Howe, Max et al.

Quelle: Journal of Chemical Education. 7/9/2024, Vol. 101 Issue 7, p2925-2932. 8p.

The first genetic assessment of wild and farmed ball pythons (Reptilia, Serpentes, Pythonidae) in southern Togo

Autoren: Auliya, Mark Hofmann, Sylvia Segniagbeto, Gabriel et al.

Weitere Verfasser: Auliya, Mark Hofmann, Sylvia Segniagbeto, Gabriel et al.

Quelle: 38:37-59

Schlagwörter: COI gene, microsatellites, population assignment, Python regius, West Africa, wildlife trade management

Zugangs-URL: https://www.biodiversitylibrary.org/part/292331

SBOannotator: a Python tool for the automated assignment of systems biology ontology terms.

Autoren: Leonidou N Fritze E Renz A et al.

Quelle: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Jul 01; Vol. 39 (7).

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH-Schlagworte: Systems Biology* , Biological Ontologies*, Computational Biology ; Reproducibility of Results ; Computer Simulation ; Gene Ontology

ИГРОВО БАЗИРАНО ОБУЧЕНИЕ ПО ПРОГРАМИРАНЕ ЗА НАЧИНАЕЩИ В РЕЖИМ НА PYGAME ZERO – ПРИМЕРНИ ЗАДАЧИ С TURTLE ГРАФИКА НА PYTHON.

Alternate Title: GAME-BASED PROGRAMMING TRAINING FOR BEGINNERS IN THE PYGAME ZERO ENVIRONMENT - SAMPLE ASSIGNMENTS WITH PYTHON TURTLE GRAPHICS.

Autoren: Георгиева, Росица¹ georgieva.rosy72@gmail.com

Quelle: Mathematics & Informatics. 2023, Vol. 66 Issue 2, p170-187. 18p.

Schlagwörter: *GAMIFICATION, *PROGRAMMING languages, *HIGH school students, *EDUCATIONAL computer games, *COMPUTER simulation, *PYTHON programming language, *MEDICAL informatics

BOLDigger – a Python package to identify and organise sequences with the Barcode of Life Data systems

Autoren: Buchner, Dominik Leese, Florian Pensoft Publishers

Weitere Verfasser: Buchner, Dominik Leese, Florian Pensoft Publishers

Quelle: 4:1-3

Schlagwörter: BOLD, database, metabarcoding, Otus, species identification, taxonomic assignment

Zugangs-URL: https://www.biodiversitylibrary.org/part/422685

Multi-AUV Kinematic Task Assignment Based on Self-Organizing Map Neural Network and Dubins Path Generator.

Autoren: Li, Xin Gan, Wenyang Pang, Wen et al.

Quelle: Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6345. 16p.

Schlagwörter: *SELF-organizing maps, *ASSIGNMENT problems (Programming), *ALGORITHMS, *PYTHON programming language, *NEIGHBORHOODS

A Controlled Experiment on Python vs C for an Introductory Programming Course: Students' Outcomes

Autoren: Wainer, Jacques Xavier, Eduardo C.

Quelle: ACM Transactions on Computing Education. Sep 2018 18(3).

Peer Reviewed: Y

Page Count: 16

Descriptors: Foreign Countries, Computer Science Education, Introductory Courses, Programming, Dropout Rate, Academic Failure, Grades (Scholastic), Assignments, College Students, Outcomes of Education

Geografische Kategorien: Brazil

Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment.

Autoren: Bodory, Hugo Mascolo, Federica Lechner, Michael

Quelle: Algorithms. Jul2024, Vol. 17 Issue 7, p318. 28p.

Schlagwörter: *FOREST policy, *DECISION trees, *PYTHON programming language, *DECISION making, *MACHINE learning

A Comparative Study of Large Language Models in Programming Education: Accuracy, Efficiency, and Feedback in Student Assignment Grading.

Autoren: Bernik, Andrija Radošević, Danijel Čep, Andrej

Quelle: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10055, 12p

Schlagwörter: COMPUTER programming education, GRADING of students, EVALUATION research, EDUCATIONAL technology, EDUCATION ethics, LANGUAGE models

kMermaid: Ultrafast metagenomic read assignment to protein clusters by hashing of amino acid k-mer frequencies.

Autoren: Lucas, Anastasia Schäffer, Daniel E. Wickramasinghe, Jayamanna et al.

Quelle: PLoS Computational Biology; 9/11/2025, Vol. 21 Issue 9, p1-18, 18p

Schlagwörter: METAGENOMICS, CLASSIFICATION, MICROBIOTA, DATA mapping, AMINO acids, PYTHON programming language

Türk Kütüphaneciliği Dergisi Dijital Arşivindeki Bilimsel Makalelere Erişimin Artırılması: Türkçe Özlerden Anahtar Kelimeler Atanması.

Alternate Title: Enhancing Access to Scientific Articles in the Turkish Librarianship Journal Digital Archive: Assigning Keywords from Turkish Abstracts.

Autoren: Yayla, Kemal¹ kemal.yayla@ikcu.edu.tr

Quelle: Turkish Librarianship / Turk Kutuphaneciligi. Dec2024, Vol. 38 Issue 4, p205-224. 20p.

Schlagwörter: *PYTHON programming language, *NATURAL language processing, *ELECTRONIC records, *WEB archives, *INFORMATION science, *DIGITAL libraries

Python Web Scraping: An Experiential Learning Assignment to Teach Business Analytics.

Autoren: Harnowo, Akhadian¹

Quelle: Business Education Innovation Journal. Dec2022, Vol. 14 Issue 2, p25-30. 6p.

Schlagwörter: *BUSINESS analytics, *ELECTRONIC data processing, EXPERIENTIAL learning, PYTHON programming language, DATA extraction

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

Autoren: Birchard, K. Boccia, C. Lounder, H. et al.

Quelle: Molecular Ecology Resources; Aug2025, Vol. 25 Issue 6, p1-14, 14p

Schlagwörter: ARTIFICIAL neural networks, POPULATION genetics, GENETIC variation, POPULATION ecology, BIOLOGICAL specimens, PYTHON programming language, EPIDEMIOLOGY, WILDLIFE conservation