Výsledky vyhľadávania - Python Libraries-pandas~

Fundamental Data Science dengan Library Pandas Python

Autori: Suharto, A. (Agus)

Popis súboru: application/pdf

Dostupnosť: https://repository.penerbiteureka.com/publications/567180/fundamental-data-science-dengan-library-pandas-python

Spatiotemporal Hydroclimate Anomalies in Bhubaneswar City, India (2000–2024): Using GIS and Python

Autori: Siba Prasad Mishra Dhibar, Maitri Roy Rohan a ďalší

Zdroj: International Journal of Environment and Climate Change. 15:22-39

A Python-Based Approach for Predictive Maintenance Condition Monitoring of Lubricants

Autori: null Shaikh Azharuddin Kutubuddin

Zdroj: Journal of Information Systems Engineering and Management. 10:712-720

Automating Data Analysis with Python Dashboards.

Autori: Kasztelnik, Karina

Zdroj: CPA Journal; May/Jun2025, Vol. 95 Issue 5/6, p56-61, 6p, 1 Color Photograph, 8 Diagrams

Predmety: PYTHON programming language, DATA analysis, PREDICTION models, BIG data, AUTOMATION software, ACCOUNTANTS

Accelerating systematic reviews: a novel 1-wk screening protocol using rule-based automation with AI-assisted Python coding.

Autori: Robleto, Emely Shehadeh, Lina A.

Zdroj: American Journal of Physiology: Heart & Circulatory Physiology; Nov2025, Vol. 329 Issue 5, p1-23, 23p

Predmety: PYTHON programming language, AUTOMATION, RESEARCH methodology, EVALUATION methodology, MEDICAL information storage & retrieval systems

Book Recommendation Using Machine Learning

Autori: Keerthana P Jetty Benjamin orcid:0000-0002-1110-

Predmety: Book Recommendation, Machine Learning, K-nearest neighbor algorithm, Cosine similarity matrix, Python Libraries-pandas, scipy, scikit-learn

Relation: https://zenodo.org/communities/amaljyothi/; https://zenodo.org/records/7955934; oai:zenodo.org:7955934; https://doi.org/10.5281/zenodo.7955934

Dostupnosť: https://doi.org/10.5281/zenodo.7955934
https://zenodo.org/records/7955934

Empirical Study of the Evolution of Python Questions on Stack Overflow.

Autori: Syam, Gopika Lal, Sangeeta Tao Chen

Zdroj: e-Informatica; 2023, Vol. 17 Issue 1, p1-44, 44p

Predmety: PYTHON programming language, PYTHONS, PROGRAMMING languages, EMPIRICAL research, DATA structures

APPLICATION OF DATA ANALYSIS TOOLS IN PYTHON TO ASSESS THE STANDARD OF LIVING OF THE POPULATION: THE CASE OF KAZAKHSTAN

Autori: null Celal Karaca

Zdroj: Bulletin of Toraighyrov University. Physics & Mathematics series. :58-74

Spreadsheet Modeling and Wrangling with Python.

Autori: Isken, Mark W.

Zdroj: INFORMS Transactions on Education; Jan2025, Vol. 25 Issue 2, p152-168, 17p

Predmety: OBJECT-oriented programming, SOFTWARE engineering, PYTHON programming language, MONTE Carlo method, WEBSITES, ELECTRONIC spreadsheets

Automating Building Energy Performance Simulation with EnergyPlus Using Modular JSON–Python Workflows: A Case Study of the Hilton Watford Hotel.

Autori: Osei-Owusu, Justine Bahadori-Jahromi, Ali Amirkhani, Shiva a ďalší

Zdroj: Sustainability (2071-1050); Nov2025, Vol. 17 Issue 22, p10317, 48p

Optimasilisasi Rute Transportasi Dan Biaya Pengangkutan Sampah Di TPS 3R USU Menggunakan Metode Saving Matrix. (Indonesian)

Autori: Sinaga, Yoppy Tigor Mario Hasibuan, Gina Cynthia Raphita Nasution, Zaid Perdana

Zdroj: Journal of Syntax Literate; Jul2025, Vol. 10 Issue 7, p8896-8907, 12p

Predmety: OPERATING costs, FUEL costs, MACHINE learning, TRANSPORTATION costs, ALGORITHMS, PYTHON programming language

Methodological Approach for Determining the Aerodynamic Resistance Using 3D Scanning: Application in Mine Ventilation Modeling.

Autori: Szmuk, Andrzej Zwolińska-Glądys, Klaudia Kuczera, Zbigniew a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11723, 27p

Predmety: MINE ventilation, LIDAR, REMOTE sensing devices, PYTHON programming language, DRAG coefficient, DIGITAL twin, THREE-dimensional imaging

A Python-Based SVR–FLAHP Computational Framework for Landslide Vulnerability Modeling.

Autori: Budisusanto, Yanto Deviantari, Udiana Wahyu Irbah, Nafisatus Sania a ďalší

Zdroj: IOP Conference Series: Earth & Environmental Science; 2025, Vol. 1551 Issue 1, p1-18, 18p

Transforming Data Frame Operations from Python to MLIR

Autori: Neumann, Thomas (Prof. Dr.) Robert Imschweiler

Témy: 000 Informatik, Wissen, Systeme, bachelorThesis

URL: https://mediatum.ub.tum.de/1689748
https://mediatum.ub.tum.de/doc/1689748/document.pdf

Using Machine Learning to Identify Geographic and Socioeconomic Disparities in Dialysis Facility Outcomes Across the United States.

Autori: Ashkar, Ziad M. Gottumukkala, Raju

Zdroj: Ochsner Journal; Sep2025, Vol. 25 Issue 3, p170-180, 11p

Predmety: REGIONAL disparities, SOCIOECONOMIC factors, RACIAL inequality, HEMODIALYSIS, MACHINE learning, CLUSTER analysis (Statistics), DATA analysis, MEDICAL quality control

Geografický termín: UNITED States

Empirical Study of the Evolution of Python Questions on Stack Overflow

Autori: Gopika Syam Sangeeta Lal Tao Chen

Zdroj: e-Informatica Software Engineering Journal, Vol 17, Iss 1 (2023)

Predmety: Python programming, Software Development, Stack Overflow, Topic Modelling, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.e-informatyka.pl/index.php/einformatica/volumes/volume-2023/issue-1/article-7/; https://doaj.org/toc/1897-7979; https://doaj.org/toc/2084-4840

Prístupová URL adresa: https://doaj.org/article/5cf82a617c8c48d7b2eb7a1c7ae96ee4

MACHINE LEARNING PROJECT ON EMPLOYEE ATTRITION PREDICTION WITH PYTHON.

Autori: KUMAR, G. MANOJ ITHI, SURYA VENKA SAI PRAKASHTA

Zdroj: International Scientific Journal of Engineering & Management; Aug2025, Vol. 4 Issue 8, p1-10, 10p

Predmety: MACHINE learning, LABOR turnover, RANDOM forest algorithms, PERSONNEL management, PREDICTION models, STATISTICAL decision making, DATA analysis

A Python-based Evaluation of Kazakhstan's Fields for Carbon Capture, Utilization, and Storage Projects.

Autori: Khussain, Bolatbek Khagag, Fadi Logvinenko, Alexandr a ďalší

Zdroj: Engineering, Technology & Applied Science Research; Apr2025, Vol. 15 Issue 2, p20782-20789, 8p

Predmety: CARBON sequestration, ENHANCED oil recovery, BIG data, OIL fields, DATA analysis

Python: The Ultimate Toolset in Today's Tech Landscape.

Autori: Banerjee, Dibyendu Kairi, Sourav

Zdroj: Open Source For You; May2024, Vol. 12 Issue 7, p56-62, 7p

Predmety: PYTHON programming language, ARTIFICIAL neural networks, MACHINE learning, COMPUTER vision, PYTHONS, DISTRIBUTED computing

Processing oceanographic data by Python libraries NumPy, SciPy and Pandas

Autori: Lemenkova, Polina

Zdroj: Aquatic Research, 2 (2

Témy: Sciences exactes et naturelles, Sciences de la terre et du cosmos, Cartographie, Géodésie, Géodynamique et tectonique, Géographie physique, Géologie, Géomorphologie et orographie, Gravimétrie, Océanographie physique et chimique, Physique du globe, Systèmes d'information géographique, Programmation et méthodes de simulation, Programmation du calcul numérique, Sémantique des langages de programmation, Sciences de l'ingénieur, Disciplines graphiques, Géodésie appliquée topographie [géodésie], Méthodes mathématiques et quantitatives, Méthodologie de la recherche scientifique, Mariana Trench, Pacific Ocean, Python, Programming language, SciPy, NumPy, Pandas, Statistics, Data analysis, info:eu-repo/semantics/article, info:ulb-repo/semantics/articlePeerReview, info:ulb-repo/semantics/openurl/article

URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/364007/1/doi_347651.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364007
https://worldcat.org/search?q=on:EQY+http://difusion-oai.ulb.ac.be/oai/request+DCG_ENTIRE_REPOSITORY+CNTCOLL