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

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

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

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

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

Authors: Oscar Mojica

Source: Seismica. 4

Basics of essential Python libraries

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

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

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

Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries

Authors: Jamison Kerney Ioan Raicu John Raicu et al.

Source: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). :706-715

Data Science and Python Libraries

Authors: Muhammad Azhar Iqbal

Source: Python for Agriculturists ISBN: 9783032014412

Electrical Load Forecasting for a Distribution Company Using Python Libraries

Authors: Priyanka Halu Gururaj S. Punekar

Source: Lecture Notes in Electrical Engineering ISBN: 9789819608232

USE OF MACHINE LEARNING TOOLS AND PYTHON LIBRARIES FOR PREDICTION THROUGH REGRESSIONS

Authors: Hanna Telychko Yakiv (Jacob) Baytelman Daria Zhukovska

Source: Scientific Papers of Donetsk National Technical University” Series “Computer Engineering and Automation. 1:4-11

PERFORMANCE EVALUATION OF PYTHON LIBRARIES FOR MULTITHREADING DATA PROCESSING

Authors: Serhii Krivtsov Yurii Parfeniuk Kseniia Bazilevych et al.

Source: Advanced Information Systems. 8:37-47

Visualization of DDoS Attack using Python Libraries

Authors: Subbulakshmi T Mohith G K Arun Santhosh R A

Source: 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies. :1-5

Test Case Generation for Python Libraries Using Dependent Projects' Test-Suites

Authors: Keita Morisaki Kazumasa Shimari Takashi Ishio et al.

Source: 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C). :167-174

SCHEDULE PARSING EXPERIENCE WHEN USING A SET OF PYTHON LIBRARIES

Authors: A.I. Safronov E.A. Gavrilov M.S. Zhuravskaya et al.

Source: Intelligent transport systems. :407-419

DETECTING VULNERABILITIES IN IMPORTED PYTHON LIBRARIES USING STATIC ANALYSIS METHODS

Authors: V.V. Shvyrov D.A. Kapustin R.N. Sentyay

Source: Современные наукоемкие технологии (Modern High Technologies). :87-93

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

Authors: Martin Larralde Georg Zeller Laura M Carroll

Source: NAR Genom Bioinform

Subject Terms: Bioinformatics (Computational Biology), Bioinformatik och beräkningsbiologi, Application Notes, Bioinformatik (beräkningsbiologi), Bioinformatics and Computational Biology

File Description: application/pdf

Access URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-242437