Python Practice Lab : Learn How to Code through Interactive Examples

Συγγραφείς: Angelica Lim, Victor Cheung

Python in Practice : Create Better Programs Using Concurrency, Libraries, and Patterns

Συγγραφείς: Mark Summerfield

Resource Type: eBook.

Θέματα: Python (Computer program language)

Categories: COMPUTERS / Languages / Python

An Empirical Study on Dynamic Typing Related Practices in Python Systems

Συγγραφείς: Chen, Zhifei, Li, Yanhui, Chen, Bihuan, Ma, Wanwangying, Chen, Lin, Xu, Baowen

Πηγή: 2020 IEEE/ACM 28th International Conference on Program Comprehension (ICPC) ICPC Program Comprehension (ICPC), 2020 IEEE/ACM 28th International Conference on. :83-93 Oct, 2020

Relation: 2020 IEEE/ACM 28th International Conference on Program Comprehension (ICPC)

Syntactic Generation of Practice Novice Programs in Python

Συγγραφείς: Ade-Ibijola, Abejide

Πηγή: Communications in Computer and Information Science ISBN: 9783030058128

Θεματικοί όροι: Practice python programs, 4. Education, Program synthesis, 10. No inequality, Synthesis of things, 3. Good health

The big book of small Python projects : 81 easy practice programs / Al Sweigart.

Συγγραφείς: Sweigart, Al. Autor

Συνεισφορές: No Starch Press (Los Angeles). Wydawca pbl

Πηγή: Indeks.

Θεματικοί όροι: Python (język programowania) -- poradniki

Other Title: Big book of small Python projects

Σύνδεσμος πρόσβασης: http://katalog.nukat.edu.pl/lib/item?id=chamo:5509637&theme=nukat

DrPython–WEB: A Tool to Help Teaching Well-Written Python Programs

Συγγραφείς: Battistini T., Isaia N., Sterbini A., Temperini M.

Πηγή: Lecture Notes in Computer Science ISBN: 9783031124280

Θεματικοί όροι: feature extraction, good coding practices, python, teaching programming

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11573/1663124
https://doi.org/10.1007/978-3-031-12429-7_20

Discovering Parallelisms in Python Programs

Συγγραφείς: Wei, Siwei, Song, Guyang, Zhu, Senlin, Ruan, Ruoyi, Zhu, Shihao, Cai, Yan

Πηγή: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :832-844

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3611643.3616259

Web Program Testing Using Selenium Python: Best Practices and Effective Approaches

Συγγραφείς: Rusdiansyah, Rusdiansyah, primary, Suharyanti, Nining, additional, Supendar, Hendra, additional, Tuslaela, Tuslaela, additional

Πηγή: Sinkron. 2024/03/31

Σύνδεσμος πρόσβασης: https://jurnal.polgan.ac.id/index.php/sinkron/article/download/13569/2439

Testing an Educational Program to Improve Goals of Care Conversations Between Patients and Their Care Teams

Συγγραφείς: National Cancer Institute (NCI)

Πηγή: A Randomized Controlled Trial of an Intervention Called "Algorithm-Enabled Patients Activated in Cancer Care Through Teams" (A-PACT) to Improve Goals of Care Communication for People With Cancer

Exploration and Practice of Theme-Based Python Program Design Teaching Reform

Συγγραφείς: 杨, 小红, primary

Πηγή: Creative Education Studies. 2023/01/01

SpecPylot: Python Specification Generation with Large Language Models

Συγγραφείς: Ayon, Ragib Shahariar, Ahmed, Shibbir

Πηγή: Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering. :237-241

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3803437.3806427

An Empirical Study of Fault Localization in Python Programs

Συγγραφείς: Rezaalipour, Mohammad, Furia, Carlo A.

Πηγή: Empirical Software Engineering, 29(4):92, 2024

Θεματικοί όροι: Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2305.19834

Python-Assisted Development of High-Performance Fortran Codes: A Hybrid Methodology Integrating Symbolic Mathematics and Large Language Models.

Συγγραφείς: Tolmachev, Daniil, Chertovskih, Roman

Πηγή: Computation; Apr2026, Vol. 14 Issue 4, p86, 17p

Θεματικοί όροι: Symbolic computation, Python programming language, Language models, Program transformation, Software validation, Simulation methods & models, Numerical analysis, FORTRAN

Qiskit, Awesome SDK for Quantum Programming in Python

Συγγραφείς: Silva, Vladimir^Aff2

Συνεισφορές: Silva, Vladimir^Aff1

Πηγή: Quantum Computing by Practice : Python Programming in the Cloud with Qiskit and IBM-Q. :189-228

The Reform and Practice of Python Program Courses Combining OBE Concept and Empowerment Education

Συγγραφείς: RAN, Juan, primary, SHI, Yu, additional

Πηγή: DEStech Transactions on Social Science, Education and Human Science. 2020/06/08

Σύνδεσμος πρόσβασης: https://doi.org/10.12783/dtssehs/icesd2020/34450

BiteSize Python for Absolute Beginners : With Practice Labs, Real-World Examples, and Generative AI Assistance

Συγγραφείς: Di Wu

Resource Type: eBook.

Θέματα: Python (Computer program language), Computer programming, Artificial intelligence--Computer programs

Categories: COMPUTERS / Languages / Python

Analysis of the User Experience of In-service Korean Teachers and Pre-Korean Teachers for Improving the Python-based Writing Assessment Practice Program

Συγγραφείς: Choi, Yeongmi, primary, Kim, Sumi, additional, Lee, So hyeon, additional, Park, Youngmin, additional

Πηγή: Korean Association For Learner-Centered Curriculum And Instruction. 2019/11/30

Basic Structure and Elementary Components of Python Programs

Συγγραφείς: Iqbal, Muhammad Azhar^Aff2

Συνεισφορές: Iqbal, Muhammad Azhar^Aff1

Πηγή: Python for Agriculturists. :27-60

How Do Python Programs Use Inheritance? A Replication Study

Συγγραφείς: Orru, Matteo, Tempero, Ewan, Marchesi, Michele, Tonelli, Roberto

Πηγή: 2015 Asia-Pacific Software Engineering Conference (APSEC) Software Engineering Conference (APSEC), 2015 Asia-Pacific. :309-315 Dec, 2015

Relation: 2015 Asia-Pacific Software Engineering Conference (APSEC)

Usage of Big Data in official statistics

Συγγραφείς: Jinugu, Anjaneyulu

Συνεισφορές: University/Department: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)

Thesis Advisors: Cobarsí-Morales, Josep, Canals, Agustí

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: fonts de dades tradicionals, fuentes de datos tradicionales, traditional data sources, fonts de dades no tradicionals, fuentes de datos no tradicionales, non-traditional data sources, macrodades, macrodatos, big data, oficines nacionals d’estadística, oficinas nacionales de estadística, national statistical offices, Societat de la Informació i el Coneixement

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10803/697747