Suchergebnisse - (( (stateu OR statu) python code analysis ) OR ( stat python code analysis ))*

Programmed differently? Testing for gender differences in Python programming style and quality on GitHub.

Autoren: Brooke, Siân

Quelle: Journal of Computer-Mediated Communication; Jan2024, Vol. 29 Issue 1, p1-13, 13p

Schlagwörter: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autoren: Tarek A. Atwan

Resource Type: eBook.

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

JDroid: Android malware detection using hybrid opcode feature vector.

Autoren: Arslan, Recep Sinan

Quelle: PeerJ Computer Science; Jul2025, p1-30, 30p

Schlagwörter: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Autoren: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

Quelle: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Schlagwörter: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

CEO masculine behavior and earnings management: does ethnicity matter?

Autoren: Elsheikh, Tamer Hashim, Hafiza Aishah Mohamad, Nor Raihan et al.

Quelle: Journal of Financial Reporting & Accounting (Emerald Group Publishing Limited); 2025, Vol. 23 Issue 3, p959-983, 25p

Schlagwörter: FIXED effects model, GOVERNMENT policy, STATISTICAL significance, EARNINGS management, CHIEF executive officers

Geografische Kategorien: MALAYSIA

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Autoren: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

Quelle: Bioinformatics; Jun2025, Vol. 41 Issue 6, p1-13, 13p

Schlagwörter: PREDICTION algorithms, TRANSCRIPTOMES, DEGREES of freedom, INDIVIDUALIZED medicine, MACHINE learning

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autoren: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

Quelle: Molecular Systems Biology; Jan2025, Vol. 21 Issue 1, p1-29, 29p

Schlagwörter: SYSTEMS biology, LIFE sciences, REGULATOR genes, BIOLOGICAL systems, BIOLOGICAL networks

Towards the genome-scale discovery of bivariate monotonic classifiers.

Autoren: Fourquet, Océane Krejca, Martin S. Doerr, Carola et al.

Quelle: BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

Schlagwörter: CLASSIFICATION, BIOMARKERS, ALGORITHMS, MACHINE learning, BIOINFORMATICS

Luminescence Signal Analysis Using Python

Autoren: Vasilis Pagonis

Resource Type: eBook.

Schlagworte: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy

Categories: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Autoren: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Autoren: Whittle, Rebecca Ensor, Joie Archer, Lucinda et al.

Quelle: BMC Medical Research Methodology; 7/1/2025, Vol. 25 Issue 1, p1-12, 12p

Schlagwörter: SAMPLE size (Statistics), PREDICTION models, RESEARCH personnel, MODEL validation, CALIBRATION

Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation.

Autoren: Li, Xiaobo Lei, Yonglin Vangheluwe, Hans et al.

Quelle: Journal of Statistical Computation & Simulation; Jun2014, Vol. 84 Issue 6, p1261-1279, 19p

Schlagwörter: STATISTICS, SIMULATION methods & models, DECISION making, QUANTITATIVE research, MATHEMATICAL optimization, DOMAIN-specific programming languages, PYTHON programming language, BAYESIAN analysis, PARAMETER estimation

Statistics for Data Science and Analytics

Autoren: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Schlagworte: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial.

Autoren: Smith, Matthew J. Mansournia, Mohammad A. Maringe, Camille et al.

Quelle: Statistics in Medicine; 1/30/2022, Vol. 41 Issue 2, p407-432, 26p

Schlagwörter: CAUSAL inference, PYTHON programming language, CRITICAL care medicine, EXPERIMENTAL design, COMPUTER simulation, RESEARCH, RESEARCH methodology, EVALUATION research, COMPARATIVE studies, STATISTICAL models, PROBABILITY theory

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Python How-To : 63 Techniques to Improve Your Python Code

Autoren: Yong Cui

Resource Type: eBook.

Schlagworte: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

PM4NGS, a project management framework for next-generation sequencing data analysis.

Autoren: Vera Alvarez, Roberto Pongor, Lorinc Mariño-Ramírez, Leonardo et al.

Quelle: GigaScience; Jan2021, Vol. 10 Issue 1, p1-9, 9p

Schlagwörter: DATA analysis, NUCLEOTIDE sequencing, SEQUENCE analysis, PROJECT management, PIPELINE inspection, LAPTOP computers

Software Design for Python Programmers : Principles and Patterns

Autoren: Ronald Mak

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Fast Python : High Performance Techniques for Large Datasets

Autoren: Tiago Antao

Resource Type: eBook.

Schlagworte: Python (Computer program language), Electronic data processing

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Software Development & Engineering / General

Comparative effectiveness of laparoscopic versus open colectomy in colon cancer patients: a study protocol for emulating a target trial using cancer registry data.

Autoren: Abera SF Robers G Kästner A et al.

Quelle: Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2025 Jan 11; Vol. 151 (1), pp. 34. Date of Electronic Publication: 2025 Jan 11.

Publikationsart: Clinical Trial Protocol; Journal Article

Info zur Zeitschrift: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7902060 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1335 (Electronic) Linking ISSN: 01715216 NLM ISO Abbreviation: J Cancer Res Clin Oncol Subsets: MEDLINE

MeSH-Schlagworte: Colectomy*/methods , Colonic Neoplasms*/surgery , Colonic Neoplasms*/pathology , Colonic Neoplasms*/mortality , Laparoscopy*/methods, Adult ; Female ; Humans ; Male ; Registries ; Survival Rate ; Clinical Trials, Phase III as Topic ; Randomized Controlled Trials as Topic ; Multicenter Studies as Topic