Suchergebnisse - "Python programming"

dynsight: An open Python platform for simulation and experimental trajectory data analysis.

Autoren: Martino, Simone Becchi, Matteo Tarzia, Andrew et al.

Quelle: Journal of Chemical Physics. 2/28/2026, Vol. 164 Issue 8, p1-9. 9p.

Schlagwörter: *PYTHON programming language, *DATA analysis, *SIMULATION methods & models, *WORKFLOW management, *MOLECULAR dynamics

easyPARM v4.00: A Python-based tool for the automated parameterization of metalloproteins and metal-organic polyhedra with multiple metal centers.

Autoren: Abdelgawwad, Abdelazim M. A. Francés-Monerris, Antonio

Quelle: Journal of Chemical Physics. 12/14/2025, Vol. 163 Issue 22, p1-16. 16p.

Schlagwörter: *PYTHON programming language, *PARAMETERIZATION, *METALLOPROTEINS, *MOLECULAR force constants, *MOLECULAR dynamics

pyTTN: An open-source toolbox for open and closed system quantum dynamics simulations using tree tensor networks.

Autoren: Lindoy, Lachlan P. Rodrigo-Albert, Daniel Rath, Yannic et al.

Quelle: Journal of Chemical Physics. 11/28/2025, Vol. 163 Issue 20, p1-32. 32p.

Schlagwörter: *PYTHON programming language, *TENSOR algebra, *HAMILTON'S principle function, *BENCHMARKING (Management)

A Python tutorial for 3DRISM solvation calculations of chemical and biological molecules.

Autoren: Swanson, Peter C. Cao, Siqin Huang, Xuhui

Quelle: Journal of Chemical Physics. 11/7/2025, Vol. 163 Issue 17, p1-11. 11p.

Schlagwörter: *PYTHON programming language, *BIOMOLECULES, *SOLVATION, *FREE energy (Thermodynamics), *SIMULATION methods & models, *C++

Simplifying debiased inference via automatic differentiation and probabilistic programming.

Autoren: Luedtke, Alex¹ (AUTHOR)

Quelle: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Feb2026, Vol. 88 Issue 1, p313-329. 17p.

Schlagwörter: AUTOMATIC differentiation, PYTHON programming language, MINIMUM variance estimation, UNBIASED estimation (Statistics), STATISTICAL models, PARAMETERS (Statistics)

Fast Actual/Expected Data Processing.

Autoren: Wesley, David (AUTHOR)

Quelle: Journal of Insurance Medicine. 2026, Vol. 53 Issue 1, p105-114. 10p.

Schlagwörter: *ELECTRONIC data processing, *REAL-time computing, *BIG data, PYTHON programming language, DEATH rate

Creating a Python platform for students to learn full-stack development of financial applications.

Autoren: Tang, Song¹ (AUTHOR) st290@nyu.edu

Quelle: Financial Innovation. 1/21/2026, Vol. 12 Issue 1, p1-29. 29p.

Schlagwörter: *COMPUTER software development, *EMPLOYABILITY, *FINANCE software, PYTHON programming language, FINANCE education

Stress detection using a novel python based sentiment analysis technique.

Autoren: Goyal, Anita Singh, Maninder Goyal, Anmol

Quelle: AIP Conference Proceedings. 2026, Vol. 3382 Issue 1, p1-9. 9p.

Schlagwörter: *SENTIMENT analysis, *PYTHON programming language, *STRESS management, *FACIAL expression, *SOCIAL network analysis, *LINGUISTICS, *METADATA

metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

Autoren: Bigi, Filippo Abbott, Joseph W. Loche, Philip et al.

Quelle: Journal of Chemical Physics; 2/14/2026, Vol. 164 Issue 6, p1-19, 19p

Schlagwörter: MACHINE learning, ATOMS, SIMULATION software, METADATA, PYTHON programming language

pyRMG: A framework for high-throughput, large-cell DFT calculations on supercomputers.

Autoren: Morelock, Ryan Bagchi, Soumendu Briggs, Emil et al.

Quelle: Journal of Chemical Physics; 2/7/2026, Vol. 164 Issue 5, p1-20, 20p

Schlagwörter: DENSITY functional theory, SUPERCOMPUTERS, GRAPHICS processing units, PYTHON programming language, FOURIER transform infrared spectroscopy

libMobility: A Python library for hydrodynamics at the Smoluchowski level.

Autoren: Fish, Ryker Carter, Adam Diez-Silva, Pablo et al.

Quelle: Journal of Chemical Physics; 1/28/2026, Vol. 164 Issue 4, p1-17, 17p

Schlagwörter: HYDRODYNAMICS, BIOPHYSICS, BOUNDARY value problems, PYTHON programming language, COMPUTATIONAL fluid dynamics

UNMANAGED TEMPLATES.

Autoren: Salmanov, Vugar Eyvazov, Zaur

Quelle: German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Nov2025, Issue 116, p91-94. 4p.

Schlagwörter: *PROGRAMMING languages, PYTHON programming language, SYNTAX in programming languages, DESIGN

COMPUTATIONAL STUDY OF FUZZY NEUTROSOPHIC SOFT MATRICES IN PYTHON: CONSISTENCY AND WEAK TRANSITIVITY.

Autoren: Kavitha, M. Sive, M. Murugadas, P. et al.

Quelle: Neutrosophic Sets & Systems. 2026, Vol. 97, p48-76. 29p.

Schlagwörter: *PYTHON programming language, *ALGORITHMS, *HYPOTHESIS, *ELECTRONIC data processing

TAPAS: Transient Absorption Processing and Analysis Software.

Autoren: Frech, Philipp Scheele, Marcus

Quelle: ChemPhotoChem. Jan2026, Vol. 10 Issue 1, p1-12. 12p.

Schlagwörter: *PYTHON programming language, *BAYESIAN analysis, *ELECTRONIC data processing, *STATISTICAL measurement, *ABSORPTION, *PREDICTION models, *COMPUTER software, *GRAPHICAL user interfaces

Interactive Pharmacokinetics: A Software for Discovery, Analysis, and Simulation.

Alternate Title: İnteraktif Farmakokinetik: Keşif, Analiz ve Simülasyon Yazılımı.

Autoren: Güvel, Muhammed Cihan Uluoğlu, Canan

Quelle: Gazi Medical Journal. Jan2026, Vol. 37 Issue 1, p31-38. 8p.

Schlagwörter: *OPEN source software, *PYTHON programming language, *DRUG interactions, *GRAPHICAL user interfaces, *COMPUTER simulation, *COMPUTER software development, *PHARMACOLOGISTS

Data retrieval from local heritage books—Is artificial intelligence the solution?

Autoren: Stelter, Robert Biehler, Rafael

Quelle: Historical Methods. Jan-Mar2026, Vol. 59 Issue 1, p1-19. 19p.

Schlagwörter: *DATA extraction, *PYTHON programming language, *DEMOGRAPHY, *TEXTBOOKS, *ECONOMIC history, *INFORMATION retrieval, *LANGUAGE models, *ARTIFICIAL intelligence

Enhancing Undergraduate Research Readiness in Water and Energy: A One-Week Bootcamp Integrating FAIR Data Principles, Python, and Machine Learning.

Autoren: Mostacedo-Marasovic, Silvia-Jessica Ahmad, Junaid Chakravarthy, Sharma et al.

Quelle: Journal of College Science Teaching. Jan/Feb2026, Vol. 55 Issue 1, p26-33. 8p.

Schlagwörter: *PYTHON programming language, *MACHINE learning, *DATA integrity, *CYBERINFRASTRUCTURE, *STUDENT projects, *WATER supply, *SELF-efficacy, *SEMINARS

Firma/Körperschaft: NATIONAL Science Foundation (U.S.)

Parallel value iteration as an introduction to undergraduate-level parallel computing courses.

Autoren: Kristiana, Lisa Manurung, Auralius

Quelle: AIP Conference Proceedings. 2025, Vol. 3351 Issue 1, p1-5. 5p.

Schlagwörter: *PARALLEL programming, *PYTHON programming language, *OPTIMAL control theory, *PROJECT method in teaching, *REINFORCEMENT learning, *DISTRIBUTED computing, *DYNAMIC programming, UNDERGRADUATE education

Development of application programming interface for automatic identification system data.

Autoren: Supria Faizi, M. Nur Afridon, M. et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3334 Issue 1, p1-7. 7p.

Schlagwörter: *PYTHON programming language, *DATA security, *SOFTWARE frameworks, *AUTOMATIC identification, *SHIP traffic control, *WEB services

Improving efficiency in list creation: Utilizing Python's list comprehension.

Autoren: Dwivedi, Sarvesh Kumar Nazim, Mohd. Sharma, Surya Prakash

Quelle: AIP Conference Proceedings. 2025, Vol. 3297 Issue 1, p1-7. 7p.

Schlagwörter: *PYTHON programming language, *COMPUTER science, *DATA structures, *MATHEMATICAL optimization, *TIME complexity