Výsledky vyhledávání - (( (staten OR strategies) python code analysis ) OR ( stat python code analysis ))*

Percolation theory using Python Autor Malthe-Sørenssen, Anders

“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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Statistics Using Python Autor Campesato, Oswald

“…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code Autor Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

“…) coupled with high-resolution (HR) Orbitrap mass spectrometry (MS) and a new bottom-up sequencing strategy…”
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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration Autor Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

“…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

“…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

“… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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Graph Data Science with Python and Neo4j: Hands-On Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies (English Edition) Autor Eastridge, Timothy

“…Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology…”
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Generative Type Inference for Python Autor Peng, Yun, Wang, Chaozheng, Wang, Wenxuan, Gao, Cuiyun, Lyu, Michael R.

“…Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub…”
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Estimating Local Prevalence of Obesity Via Survey Under Cost Constraints: Stratifying ZCTAs in Virginia's Thomas Jefferson Health District Autor Lobo, Benjamin J., Bonds, Denise E., Kafadar, Karen

“… (here, ZIP Code Tabulation Areas, or ZCTAs) prior to conducting the survey for those situations where cost considerations make it infeasible to sample each geographic unit (here, ZCTA) in the region (here, TJHD…”
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An extensive study of the effects of different deep learning models on code vulnerability detection in Python code Autor Wang, Rongcun, Xu, Senlei, Ji, Xingyu, Tian, Yuan, Gong, Lina, Wang, Ke

“… However, few studies empirically studied the impacts of different deep learning models on code vulnerability detection in Python…”
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The Pythonic Way: An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing, and Management of Enterprise Python Code Autor Raj, Sonal

“…Learn to build and manage better software with clean, intuitive, scalable, maintainable, and high-performance Python code. Key Features…”
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Translating short-form Python exercises to other programming languages using diverse prompting strategies Autor Piccolo, Stephen R, Stevens, Harlan P

“…Abstract Background With the increasing complexity and quantity of experimental and observational data, life scientists rely on programming to automate analyses, enhance reproducibility, and facilitate collaboration…”
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Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level Autor Ehteram, Mohammad, Ghanbari-Adivi, Elham

“… decisions about water allocation, groundwater abstraction rates, and groundwater recharge strategies…”
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Using GNU Make to Manage the Workflow of Data Analysis Projects Autor Baker, Peter

“…Data analysis projects invariably involve a series of steps such as reading, cleaning, summarizing and plotting data, statistical analysis and reporting…”
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Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study Autor Bayram, Ali, Menekse Dalveren, Gonca Gokce, Derawi, Mohammad

“…This study conducts a comprehensive comparative analysis of six contemporary artificial intelligence models for Python code generation using the HumanEval benchmark…”
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Identification of Novel Microcystins Using High-Resolution MS and MS n with Python Code Autor Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

“…) coupled with high-resolution (HR) Orbitrap mass spectrometry (MS) and a new bottom-up sequencing strategy…”
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Empirical Evaluation of Prompting Strategies for Python Syntax Error Detection with LLMs Autor Aloufi, Norah, Aljuhani, Abdulmajeed

“… Accordingly, this study investigates the effectiveness of LLMs in identifying syntax errors within large Python code repositories…”
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Eye-movement indices of reading while debugging Python source code Autor Dempsey, Jack, Tsiola, Anna, Bosch, Nigel, Christianson, Kiel, Stites, Mallory

“… The current work provides a profile of global reading behaviours associated with reading Python source code for debugging purposes…”
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Offensive Security Using Python: A hands-on guide to offensive tactics and threat mitigation using practical strategies Autor Rehim, Rejah, Mohan, Manindar

“…Unlock Python's hacking potential and discover the art of exploiting vulnerabilities in the world of offensive cybersecurity Key Features Get in-depth knowledge of Python's role in offensive security…”
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Disc-Hub: a python package for benchmarking machine learning strategies in DIA-MS identification Autor Yu, Yiwen, Wu, Xiaohui, Song, Jian

“…Abstract Motivation Accurate analysis of data-independent acquisition (DIA) mass spectrometry data relies on machine learning to distinguish target peptides from decoy peptides…”
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