Search Results - dynamic code analysis of python progress

Dynamic Generation of Python Bindings for HPC Kernels by 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…”
Get full text

Python open-source signal processing and modeling/simulation for scientific research in structural dynamics—A review by 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…”
Get full text

WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Yang, Darian T, Chong, Lillian T

“… Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble…”
Get more information

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation by 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…”
Get full text

Pace v0.2: a Python-based performance-portable atmospheric model by Dahm, Johann, Davis, Eddie, Deconinck, Florian, Elbert, Oliver, George, Rhea, McGibbon, Jeremy, Wicky, Tobias, Wu, Elynn, Kung, Christopher, Ben-Nun, Tal, Harris, Lucas, Groner, Linus, Fuhrer, Oliver

“… As a solution, we present Pace, an implementation of the nonhydrostatic FV3 dynamical core and GFDL cloud microphysics scheme which is entirely Python-based…”
Get full text

Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data by Draizen, Eli J., Readey, John, Mura, Cameron, Bourne, Philip E.

“…, function, dynamics and evolution. As with any advance that rests upon statistical learning approaches, the recent progress in biomolecular sciences is enabled by the availability of vast volumes of sufficiently-variable data…”
Get full text

The development of an automated microscope image tracking and analysis system by McAfee, Lillian, Heath, Zach, Anderson, William, Hozi, Marvin, Orr, John Walker, Kang, Youngbok (Abraham)

“…Microscopy image analysis plays a crucial role in understanding cellular behavior and uncovering important insights in various biological and medical research domains…”
Get full text

AQUAgpusph, a new free 3D SPH solver accelerated with OpenCL by Cercos-Pita, J.L.

“…), the implementation of the most popular boundary conditions, the easy customization of the code to different problems, the extensibility with regard to Python scripts, and the runtime output…”
Get full text

Progress in development of advanced D1S dynamic code for three-dimensional shutdown dose rate calculations by Mariano, Giovanni, Flammini, Davide, Fonnesu, Nicola, Moro, Fabio, Villari, Rosaria

“… The present work is built on the experience in analyzing tokamaks using prior versions of the code, where the activation analysis was limited to the first-step reactions…”
Get full text

Python for the Life Sciences - A Gentle Introduction to Python for Life Scientists by Lancaster, Alex, Webster, Gordon

“… The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence…”
Get full text

Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables by 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…”
Get full text

DYSN: Dynamics simulator for the NuScale SMR - A mathematical framework for transient analysis by Fakhraei, A., Faghihi, F., Mohammadi, M., Rabiee, A.

“…). A computer code, named DYSN (DYnamics Simulator for NuScale), is also created to simulate transients in the primary and secondary sides of the NuScale reactor…”
Get full text

AI-Based Flappy Bird Game with Dynamic Level Generation by Vijaya, J., Jangir, Vansh, Sharma, Harshvardhan, Srivastava, Devansh, Jaswani, Naman

“…This abstract introduces an innovative approach to the classic Flappy Bird game by incorporating Artificial Intelligence (AI) algorithms for the automatic…”
Get full text

ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals by Ortega-Morla, Javier, Leis, Antonio, Mallo, Alma, Moran-Fernandez, Laura, Guerreiro, Sara, Paz-Lopez, Alejandro, Perez-Sanchez, Beatriz, Sanchez-Marono, Noelia, Rodriguez-Arias, Alejandro, Fontenla-Romero, Oscar, Bellas, Francisco

“… ProgTutor provides automated evaluations and feedback on coding errors, ensuring that learners receive the support they need to progress effectively…”
Get full text

PyMatterSim: a Python Data Analysis Library for Computer Simulations of Materials Science, Physics, Chemistry, and Beyond by Y -C Hu, Tian, J

“… Motivated by active research and knowledge sharing, we developed a data analysis library in Python for computational materials science research…”
Get full text

Hydrogen storage solutions for residential heating: A thermodynamic and economic analysis with scale-up potential by Esposito, Luca, van der Wiel, Mark, Acar, Canan

“…, and it focuses on compressed hydrogen, liquid hydrogen, and metal hydride. The technical assessment involves using Python to code thermodynamic models to address technical and thermodynamic performances…”
Get full text

Fast tumor phylogeny regression via tree-structured dual dynamic programming by Schmidt, Henri, Qi, Yuanyuan, Raphael, Benjamin J, El-Kebir, Mohammed

“… tissue and inference of its evolutionary history. Recently, phylogenetic reconstruction methods have made significant progress by breaking the reconstruction problem into two parts…”
Get full text

Effects of Infusing Interactive and Collaborative Learning to Teach an Introductory Programming Course by Rahman, Md Mahmudur, Paudel, Roshan, Sharker, Monir H

“…This Innovate Practice Full Paper presents positive effects in teaching an introductory programming course in Python by infusing both interactive and collaborative learning…”
Get full text

Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC by 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…”
Get full text

WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Yang, Darian T, Chong, Lillian T

“… Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble…”
Get full text