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41

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42

DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
Mancino, Alberto Carlo Maria ; Bufi, Salvatore ; Di Fazio, Angela ; et al.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. :3478-3487

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43

Exploring the Blended Teaching Mode of Python Programming Language Course Based on OBE Concepts
Hou, Wenhui ; Yu, Xiaohan
Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference. :434-439

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44

Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications.
Othmane, Amine ; Kiltz, Lothar ; Rudolph, Joachim
International Journal of Systems Science. Jul2022, Vol. 53 Issue 9, p1848-1887. 40p.

FAULT-tolerant computing NUMERICAL differentiatio... PYTHON programming langu... FAULT-tolerant control s... FAULT diagnosis SYSTEM identification
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45

Python Implementation and Analysis of Quadratic Optimization Algorithm in Quantitative Investment Strategy
Wang, Nan ; Wang, Yu ; Kong, Xiangming ; et al.
Proceedings of the 2024 5th International Conference on Big Data Economy and Information Management. :1170-1174

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46

Static and Dynamic Comparison of Mutation Testing Tools for Python
Guerino, Lucca Renato ; Kuroishi, Pedro Henrique ; Paiva, Ana Cristina Ramada ; et al.
Proceedings of the XXIII Brazilian Symposium on Software Quality. :199-209

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47

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach
Noei, Shayan ; Li, Heng ; Zou, Ying
ACM Transactions on Software Engineering and Methodology. 34(3):1-25

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48

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49

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.
Fachada, Nuno ; Fernandes, Daniel ; Fernandes, Carlos M. ; et al.
Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Experimental design Quantitative research Language models Python programming langu... Generative pre-trained t... Benchmark problems (Comp...
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50

tmm4py : Global Ocean Biogeochemical Modeling in Python With the Transport Matrix Method.
Khatiwala, Samar
Journal of Advances in Modeling Earth Systems. Aug2025, Vol. 17 Issue 8, p1-18. 18p.

Climate change Water chemistry Python programming langu... Parallel programming Computer simulation
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51

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52

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53

Mastodoner: A Command-line Tool and Python Library for Public Data Collection from Mastodon
Zia, Haris Bin ; Castro, Ignacio ; Tyson, Gareth
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. :5314-5317

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54

Investigating various nonlinear vibration problems using VIBRANT: A tool based on Abaqus and Python
Tüfekci, Mertol ; Sevencan, Furkan ; Yurdakul, Ozan
PLoS ONE. January 21, 2026, Vol. 21 Issue 1, e0338419

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55

Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute
Ananthakrishnan, Rachana ; Babuji, Yadu ; Bryan, Josh ; et al.
Proceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis. :597-606

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56

Parsl+CWL: Towards Combining the Python and CWL Ecosystems
Karle, Nishchay ; Clifford, Ben ; Babuji, Yadu ; et al.
Proceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis. :2040-2047

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57

PyGRF: An Improved Python Geographical Random Forest Model and Case Studies in Public Health and Natural Disasters.
Sun, Kai ; Zhou, Ryan Zhenqi ; Kim, Jiyeon ; et al.
Transactions in GIS. Nov2024, Vol. 28 Issue 7, p2476-2491. 16p.

NATURAL disasters MACHINE learning RANDOM forest algorithms PUBLIC health PYTHONS
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