Search Results - Python Libraries

PyOrthoANI, PyFastANI, and Pyskani: a suite of Python libraries for computation of average nucleotide identity

Authors: Larralde, Martin Zeller, Georg Carroll, Laura M.

Source: Science for Life Laboratory – a national resource center for high–throughput molecular bioscience NAR Genomics and Bioinformatics. 7(3)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-242437
https://doi.org/10.1093/nargab/lqaf095

PyNarrative: A Python Library for Data Storytelling

Authors: Lo Duca A. Barsotti R. O.

Source: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. :922-929

Subject Terms: Data Storytelling, Data Visualization, Python, Data Narrative

Selector: A General Python Library for Diverse Subset Selection.

Authors: Meng F Martínez González M Chuiko V et al.

Source: Journal of chemical information and modeling [J Chem Inf Model] 2026 Feb 09; Vol. 66 (3), pp. 1275-1285. Date of Electronic Publication: 2026 Jan 27.

Publication Type: Journal Article

Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

MeSH Terms: Small Molecule Libraries*/chemistry , Software*, Algorithms ; Drug Discovery ; User-Computer Interface

MetPy : A Meteorological Python Library for Data Analysis and Visualization

Authors: May, Ryan M. Goebbert, Kevin H. Thielen, Jonathan E. et al.

Source: Bulletin of the American Meteorological Society, 2022 Oct 01. 103(10), E2273-E2284.

Access URL: https://www.jstor.org/stable/27283480

Foresight to 2035 for specialty coffees: scenario alignment, the Delphi method, and integration with Python libraries

Authors: Jhon Wilder Zartha Sossa Nolberto Gutiérrez Posada Liliana Valencia Grisales et al.

Source: foresight. 27:992-1010

Application of Python Libraries in Intelligent Task Scheduling and Resource Allocation of UAVs

Authors: Li Jia

Source: 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence (CCAI). :562-566

Core Imaging Library - Part I : a versatile Python framework for tomographic imaging

Authors: Jørgensen, J. S. Ametova, E. Burca, G. et al.

Source: Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2021 Aug . 379(2204), 1-24.

Access URL: https://www.jstor.org/stable/27100760

Development of a PYTHON library for a mathematical model of nuclear reactor kinetics

Authors: Aleksei G. Goryunov Danil D. Kachanov Kirill D. Kachanov

Source: Известия Томского политехнического университета: Промышленная кибернетика, Vol 3, Iss 1, Pp 13-20 (2025)

Subject Terms: TK7885-7895, QA76.75-76.765, Computer engineering. Computer hardware, reactor kinetics, control algorithm, Q300-390, modeling, Computer software, Cybernetics, python libraries

Access URL: https://doaj.org/article/1d6c8709d3f84f66b06b1497537894b0

Student Result Analysis System Using Python Libraries

Authors: Mudassir Ashrafi Varun Bhonslay Prasad Khamkar et al.

Source: New Horizons of Science, Technology and Culture Vol. 3 ISBN: 9788199039803

A brief exploration of open-source gradient-based numerical optimization Python libraries for full-waveform inversion

Authors: Oscar Mojica

Source: Seismica. 4

DEVELOPING AND USING OPEN-SOURCE PYTHON LIBRARIES FOR TRANSPORTATION MODELING PROBLEMS

Authors: Ol'ga Lebedeva Irina Kulakova Ermak Erofeev

Source: Bulletin of the Angarsk State Technical University. 1:275-278

pyedahelper: A Guided Python Library for Simplified and Educational Exploratory Data Analysis

Authors: Christopher, Chidiebere

Subject Terms: usability, educational tools, open-source application, exploratory data analysis, python libraries

Basics of essential Python libraries

Authors: Mr.Himanshu Tiwari Mr. Prashant Awasthi Mr.Jitendra Kumar Sonkar et al.

Rnalib: a Python library for custom transcriptomics analyses: a Python library for custom transcriptomics analyses

Authors: Popitsch, Niko Ameres, Stefan L

Source: Bioinformatics

Subject Terms: 0301 basic medicine, Gene Expression Profiling, 0206 medical engineering, High-Throughput Nucleotide Sequencing, Computational Biology, Genomics, 02 engineering and technology, Applications Note, 03 medical and health sciences, 106005 Bioinformatik, Programming Languages, 106005 Bioinformatics, Transcriptome, Software, Gene Library

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39718766
https://ucrisportal.univie.ac.at/de/publications/5b132416-6a10-43e0-8102-f2e22c3c3857
https://doi.org/10.1093/bioinformatics/btae751
https://hdl.handle.net/11353/10.2114665
https://phaidra.univie.ac.at/o:2114665
https://doi.org/10.1093/bioinformatics/btae751

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries

Authors: Nuno Fachada Daniel Fernandes Carlos M. Fernandes et al.

Source: Future Internet, Vol 17, Iss 9, p 412 (2025)

Subject Terms: large language models, code generation, Python libraries, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Access URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

COMPARISON OF THE RELIABILITY OF CALCULATING THE VOLUMES OF GRAVITATIONAL BODIES BY MEANS OF THE ARCGIS SOFTWARE PACKAGE AND THE SCIPY PYTHON LIBRARY

Authors: P. DOLHI I. SHEVELEV

Source: Herald of Polotsk State University. Series F. Civil engineering. Applied sciences. :79-86

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Subject Terms: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

An Overview of Python Libraries for Data Science

Authors: Ankush Joshi Haripriya Tiwari

Source: Journal of Engineering Technology and Applied Physics, Vol 5, Iss 2, Pp 85-90 (2023)

Subject Terms: python, Technology, machine learning, data analysis, Mechanics of engineering. Applied mechanics, deep learning, data visualization, data science, TA349-359

Access URL: https://doaj.org/article/ec31c43993264e44a446e0660fff6004

The Comparative study of Python Libraries for Natural Language Processing (NLP)

Authors: null Dr. Dhara Ashish Darji null Dr. Sachinkumar Anandpal Goswami

Source: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 10:499-512

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Foresight to 2035 in cold climate fruit trees: scenario alignment, Delphi method, and complement with Python libraries

Authors: Jhon Wilder Zartha-Sossa Nolberto Gutiérrez Posada Adriana María Zuluaga Monsalve et al.

Source: Cogent Food & Agriculture, Vol 11, Iss 1 (2025)

Subject Terms: Climate fruit trees, foresight, scenarios, Delphi method, agroindustry, Latin American & Hispanic Studies, Agriculture, Food processing and manufacture, TP368-456

File Description: electronic resource

Relation: https://doaj.org/toc/2331-1932

Access URL: https://doaj.org/article/de4c4630b19c4d238b648cfcfd265874