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41

Optimizing Python Code Metrics Feature Reduction Through Meta-Analysis and Swarm Intelligence
Marina Ivanova ; Zamira Kholmatova ; Nikolay Pavlenko
Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering. :338-345

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42

Enhancing Python Code Embeddings: Fusion of Code2vec with Large Language Models
Long H. Ngo ; Jonathan Rivalan
Journal of Engineering Research and Sciences. :1-7

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43

Discrete prompt optimization using genetic algorithm for secure Python code generation
Tony, Catherine ; Pintor, Maura ; Kretschmann, Max ; et al.
In The Journal of Systems & Software February 2026 232

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44

AN AUTOMATIC MERGING PYTHON CODE FOR LARGE MECHANISM: EXAMPLE OF A TRF-IB MECHANISM
Fages, Timothée ; Veillet, R ; Fournet, R ; et al.
Joint Meeting of the Belgian and Italian Sections of The Combustion Institute 45 th Meeting of the Italian Section of The Combustion Institute.

Florence, Italy [SPI]Engineering Science...
Konferenz
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45

Separation of Body and Background in Radiological Images. A Practical Python Code
Hosseini, Seyedeh Fahimeh ; Shalbafzadeh, Faezeh ; Amanpour-Gharaei, Behzad

Electrical Engineering a... Computer Science - Compu...
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46

Enabling MPI communication within Numba/LLVM JIT-compiled Python code using numba-mpi v1.0
Derlatka, Kacper ; Manna, Maciej ; Bulenok, Oleksii ; et al.
SoftwareX 28, 101897 (2024)

Computer Science - Distr... Computer Science - Mathe...
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47

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
Beiqi Zhang ; Peng Liang ; Qiong Feng ; et al.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. :2230-2234

Software Engineering (cs... FOS: Computer and inform... Computer Science - Softw... Artificial Intelligence... Computer Science - Artif...
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48

HiPy: Extracting High-Level Semantics from Python Code for Data Processing
Michael Jungmair ; Alexis Engelke ; Jana Giceva
Proceedings of the ACM on Programming Languages. 8:736-762

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49

Evaluating the Effects on Comprehension in Python Code from Idiomatic Development
Joshua A.C. Behler
Proceedings of the 2025 Symposium on Eye Tracking Research and Applications. :1-3

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50

A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Navarro, Alejandro L. García ; Koneva, Nataliia ; Sánchez-Macián, Alfonso ; et al.

Computer Science - Machi... Computer Science - Progr...
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51

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
Wang, Tianyu ; Zhou, Nianjun ; Chen, Zhixiong

Computer Science - Artif... K.3.2 I.2.7
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52

Enhancing Software Quality: Python Code Smell Detection using Machine Learning techniques and Refactoring Long Methods using Extract Method Algorithm
Mohammed Sharraf Uddin ; Kazi Zunayed Quader Knobo ; Jannatul Ferdoshi ; et al.
Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence. :93-102

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53

Automated Refactoring of Non-Idiomatic Python Code With Pythonic Idioms
Zejun Zhang ; Zhenchang Xing ; Dehai Zhao ; et al.
IEEE Transactions on Software Engineering. 50:2827-2848

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55

A Python code for calculating the mean-value (Baldereschi's) point for any crystal structure
Stevanovic, Vladan

Condensed Matter - Other... Condensed Matter - Mater...
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56

Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation
Espejel, Jessica López ; Alassan, Mahaman Sanoussi Yahaya ; Bouhandi, Merieme ; et al.

Computer Science - Artif...
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57

'This Sounds Unclear': Evaluating ChatGPT capability in translating end-user prompts into ready-to-deploy Python Code
Margherita Andrao ; Diego Morra ; Teresa Paccosi ; et al.
Proceedings of the 2024 International Conference on Advanced Visual Interfaces. :1-4

ChatGPT-4 End-user development (EU... Large language models (L... Task-automation systems
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58

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
Zhang, Beiqi ; Liang, Peng ; Feng, Qiong ; et al.

Computer Science - Softw... Computer Science - Artif...
Report
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59

Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks
Lee, Hokyung ; Sharma, Sumanyu ; Hu, Bing

Computer Science - Artif... Computer Science - Softw... 68T50 I.2.7 D.2.5
Report
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60

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