Search Results - Python Native Code*

Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count

Authors: Xutong Ma Jiwei Yan Hao Zhang et al.

Source: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). :1429-1440

gmxapi: A GROMACS-native Python interface for molecular dynamics with ensemble and plugin support

Authors: Irrgang, M. Eric Davis, Caroline Kasson, Peter M.

Source: PloS Computational Biology. 18(2)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-469567
https://doi.org/10.1371/journal.pcbi.1009835

Polyglot AST: Towards Enabling Polyglot Code Analysis

Authors: Houdaille, P. Khelladi, D. E. Briend, R. et al.

Source: Proc IEEE Int Conf Eng Complex Comput Syst ICECCS. :116-125

Subject Terms: code analysis, development tooling, polyglot programming, Codes (symbols), High level languages, Python, Abstract Syntax Trees, Design time, Java Native Interfaces, Javascript, Runtimes, Software complexity, Web development, Trees (mathematics)

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-65153

Improving Tese Case Generation for Python Native Libraries Through Constraints on Input Data Structures

Authors: Zhang, Xin Ma, Xutong Yan, Jiwen et al.

Index Terms: Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2206.13828

Hands-On Python for DevOps : Leverage Python's Native Libraries to Streamline Your Workflow and Save Time with Automation

Authors: Roy

Resource Type: eBook.

Subjects: Computer software--Development, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Software Development & Engineering / Tools

Bridging Language Barriers in Coding: An NLP-Powered Tool for Programming Education in Regional Languages

Authors: Goutami Sooda Arya Hariharan Ahana Patil et al.

Source: IEEE Access, Vol 13, Pp 119577-119589 (2025)

Subject Terms: Algorithm-to-code translation, code generation, CodeT5, GPT-Neo, Kannada-to-Python, natural language processing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11072672/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/d75e61eb51d24373ba4a153588a74f48

Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data.

Authors: Hodson, Timothy O. DeCicco, Laura A. Hariharan, Jayaram A. et al.

Source: Water (20734441); Dec2023, Vol. 15 Issue 24, p4236, 10p

Subject Terms: DATABASES, PYTHONS, PYTHON programming language, INFORMATION retrieval, WATER quality, SOURCE code

Company/Entity: GEOLOGICAL Survey (U.S.)

Initial dispersal behavior and survival of non-native juvenile Burmese pythons (Python bivittatus) in South Florida.

Authors: Pittman, Shannon E. Bartoszek, Ian A.

Source: BMC Zoology. 12/8/2021, Vol. 6 Issue 1, p1-13. 13p.

MEWpy: a computational strain optimization workbench in Python.

Authors: Pereira, Vítor Cruz, Fernando Rocha, Miguel

Source: Bioinformatics. 8/15/2021, Vol. 37 Issue 16, p2494-2496. 3p.

Subject Terms: *WORKBENCHES, *SOURCE code, *PYTHON programming language, *METABOLIC models, *PHENOTYPES

Effective Python : 125 Specific Ways to Write Better Python

Authors: Brett Slatkin

Resource Type: eBook.

Subjects: Python (Computer program language), Computer programming, Programming languages (Electronic computers)

Categories: COMPUTERS / Languages / Python

NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules.

Authors: Linssen, Charl Babu, Pooja N. Eppler, Jochen M. et al.

Source: Frontiers in Neuroinformatics; 2025, p1-21, 21p

Subject Terms: ARTIFICIAL neural networks, MODELING languages (Computer science), SYNAPSES, C++, SYNTAX (Grammar)

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch.

Authors: Vieth, Marius Rahimi, Ali Gorgan Mohammadi, Ashena et al.

Source: Frontiers in Neuroinformatics; 2024, p01-13, 13p

Subject Terms: ARTIFICIAL neural networks, NEUROMORPHICS, ARTIFICIAL intelligence, SOFTWARE frameworks, MODULAR design, PYTHON programming language

Better Python Code : A Guide for Aspiring Experts

Authors: David Mertz

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python

Astronomical Python : An Introduction to Modern Scientific Programming

Authors: Imad Pasha

Resource Type: eBook.

Subjects: Astronomy--Data processing, Statistical astronomy, Python (Computer program language)

Categories: SCIENCE / Space Science / Astronomy, SCIENCE / Physics / Mathematical & Computational

Functional Python Programming, 3rd Edition : Use a Functional Approach to Write Succinct, Expressive, and Efficient Python Code

Authors: Steven F. Lott

Resource Type: eBook.

Subjects: Python (Computer program language), Functional programming (Computer science)

Categories: COMPUTERS / Programming / General, COMPUTERS / Programming / Object Oriented, COMPUTERS / Languages / Python

Developing Multi-Platform Apps with Visual Studio Code : Get up and Running with VS Code by Building Multi-platform, Cloud-native, and Microservices-based Apps

Authors: Ovais Mehboob Ahmed Khan Khusro Habib

Resource Type: eBook.

Subjects: Application software--Development

Categories: COMPUTERS / Internet / Web Programming, COMPUTERS / Internet / Application Development, COMPUTERS / Languages / .NET

Let’s code Python

Authors: Hauke Fehr

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python

Clean Code in Python : Develop Maintainable and Efficient Code

Authors: Mariano Anaya

Resource Type: eBook.

Subjects: Python (Computer program language)

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

Compiler-assisted code generation for quantum computing: leveraging the unique properties of quantum architectures.

Authors: James, G. G. Ekong, A. P. Unyime, A. U. et al.

Source: Journal of Nigerian Society of Physical Sciences; May2025, Vol. 7 Issue 2, p1-12, 12p

Subject Terms: QUANTUM computing, QUBITS, COMPUTER software development, MATHEMATICAL optimization, COMPARATIVE studies

Modeling Intermittent Water Supply in SWMM: A Critical Review With Reproducible Recommendations and a Python Package.

Authors: Abdelazeem, Omar Meyer, David D. J.

Source: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-19, 19p

Subject Terms: HYDRAULIC models, SIMULATION methods & models, NUMERICAL analysis, WATER supply, ENVIRONMENTAL infrastructure, REPRODUCIBLE research, PYTHON programming language