Suchergebnisse - (( dynamic code analysis of python progress ) OR ( dynamic code analysis of python process ))~

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation von Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

“… Significant progress has been made in code recommendation for static languages in recent years, but it remains challenging for dynamic languages like Python as accurately determining data flows …”
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Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables von Peiman, Farshad, Khalilzadeh, Mohammad, Shahsavari-Pour, Nasser, Ravanshadnia, Mehdi

“… PurposeEarned value management (EVM)–based models for estimating project actual duration (AD) and cost at completion using various methods are continuously …”
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Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC von Padovani, Francesco, Mairhörmann, Benedikt, Falter-Braun, Pascal, Lengefeld, Jette, Schmoller, Kurt M.

“… Background High-throughput live-cell imaging is a powerful tool to study dynamic cellular processes in single cells but creates a bottleneck at the stage of data analysis, due to the large amount …”
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Preliminary Experience and Learning Outcomes by Infusing Interactive and Active Learning to Teach an Introductory Programming Course in Python von Rahman, Md Mahmudur, Paudel, Roshan

“… ) maps to a highly dynamic process (program execution). The program execution is typically illustrated using graphical PowerPoint lecture slides or by drawing diagrams on a whiteboard, which is tedious and error prone and requires huge effort …”
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MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics von Haiman, Zachary B., Zielinski, Daniel C., Koike, Yuko, Yurkovich, James T., Palsson, Bernhard O.

“… MASSpy adds dynamic modeling tools to the COnstraint-Based Reconstruction and Analysis Python (COBRApy …”
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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods von Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli

“… Background Variability in datasets is not only the product of biological processes …”
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Efficient Space–Time Reduced Order Model for Linear Dynamical Systems in Python Using Less than 120 Lines of Code von Kim, Youngkyu, Wang, Karen, Choi, Youngsoo

“… A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem …”
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Deeptime: a Python library for machine learning dynamical models from time series data von Hoffmann, Moritz, Scherer, Martin, Hempel, Tim, Mardt, Andreas, de Silva, Brian, Husic, Brooke E, Klus, Stefan, Wu, Hao, Kutz, Nathan, Brunton, Steven L, Noé, Frank

“… Deeptime is a general purpose Python library offering various tools to estimate dynamical models based on time-series data including conventional linear learning methods, such as Markov state models (MSMs …”
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Dynamic Generation of Python Bindings for HPC Kernels von Zhu, Steven, AlAwar, Nader, Erez, Mattan, Gligoric, Milos

“… A recent trend among scientists-prototyping applications in dynamic languages such as Python-created a gap between the applications and existing HPKs …”
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Percolation theory using Python von Malthe-Sørenssen, Anders

“… The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis …”
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PyGEE-SWToolbox: A Python Jupyter Notebook Toolbox for Interactive Surface Water Mapping and Analysis Using Google Earth Engine von Owusu, Collins, Snigdha, Nusrat J., Martin, Mackenzie T., Kalyanapu, Alfred J.

“… challenges. PyGEE-SWToolbox is a freely available Google Earth Engine-enabled open-source toolbox developed with Python to be run in Jupyter Notebooks that provides an easy-to-use graphical user interface (GUI …”
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3DDA: A Novel Python Toolkit to Analyze 3D‐Dynamic Contact Angles from Molecular Dynamics Simulations von Maslov, Andrea, Tiwari, Manish K., Seveno, David

“… Herein, 3DDA, a Python‐based code that uses the 3D droplet geometry to determine contact angles and analyze dynamic changes during spreading processes at the nanoscale, is presented …”
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CRYSTALpytools: A Python infrastructure for the Crystal code von Camino, Bruno, Zhou, Huanyu, Ascrizzi, Eleonora, Boccuni, Alberto, Bodo, Filippo, Cossard, Alessandro, Mitoli, Davide, Ferrari, Anna Maria, Erba, Alessandro, Harrison, Nicholas M.

“… CRYSTALpytools is an open source Python project available on GitHub that implements a user-friendly interface to the Crystal code for quantum-mechanical condensed matter simulations …”
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Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals von Combrisson, Etienne, Nest, Timothy, Brovelli, Andrea, Ince, Robin A. A., Soto, Juan L. P., Guillot, Aymeric, Jerbi, Karim

“… In particular, there is accumulating evidence that phase-amplitude coupling (PAC), a specific form of cross-frequency interaction, plays a key role in numerous cognitive processes …”
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PyCDFT: A Python package for constrained density functional theory von Ma, He, Wang, Wennie, Kim, Siyoung, Cheng, Man‐Hin, Govoni, Marco, Galli, Giulia

“… ‐principles molecular dynamics code, Qbox, and we benchmark its accuracy by computing the electronic coupling between diabatic states for a set of organic molecules …”
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A Python-based stochastic library for assessing geothermal power potential using the volumetric method in a liquid-dominated reservoir von Pocasangre, Carlos, Fujimitsu, Yasuhiro

“… •A Python-based stochastic library is presented for assessing geothermal potential …”
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Python open-source signal processing and modeling/simulation for scientific research in structural dynamics—A review von Slavič, Janko, Zaletelj, Klemen, Gorjup, Domen, Pasca, Dag Pasquale, Aloisio, Angelo, Kvåle, Knut Andreas, Frøseth, Gunnstein Thomas, Weijtjens, Wout, Mujtaba, Ahmed, Česnik, Martin, Zorman, Aleš, Tsialiamanis, George, Tomac, Ivan, Ritto, Thiago G., Ocepek, Domen, Rohe, Dan, Silva, Olavo M., Masmeijer, Thijs C.P., Čufar, Krištof, Bregar, Tomaž, Kodrič, Miha, El Mahmoudi, Ahmed, Pogačar, Miha, Trainotti, Francesco, Göldeli, Mert, Čepon, Gregor, Timbó, Raphael, Cavallini, Aldemir A., Costa, Vinicius T., Santos, Jéssica G.F., Hughes, Aidan J., Vargas, Jacson G., Fernandes, André, Rixen, Daniel J., Worden, Keith, Boltežar, Miha

“… Avoiding duplication of effort leads to faster progress and greater societal benefit. The Python programming language provides readable code and is highly collaborative, leading to a large user community …”
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Discovering Stochastic Dynamical Equations from Ecological Time Series Data von Nabeel, Arshed, Karichannavar, Ashwin, Palathingal, Shuaib, Jhawar, Jitesh, Brückner, David B, Raj M, Danny, Guttal, Vishwesha

“… AbstractTheoretical studies have shown that stochasticity can affect the dynamics of ecosystems in counterintuitive ways …”
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Glycosylator: a Python framework for the rapid modeling of glycans von Lemmin, Thomas, Soto, Cinque

“… The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N- linked glycosylation, plays an important role in the physiology of many living organisms …”
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PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers von O'Meara, Simon Patrick, Xu, Shuxuan, Topping, David, Alfarra, M. Rami, Capes, Gerard, Lowe, Douglas, Shao, Yunqi, McFiggans, Gordon

“… In this paper the CHemistry with Aerosol Microphysics in Python (PyCHAM) box model software for aerosol chambers is described and assessed against benchmark simulations for accuracy …”
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