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

Tuplex ; Data Science in Python at Native Code Speed

Authors: Spiegelberg, Leonhard Yesantharao, Rahul Schwarzkopf, Malte et al.

Contributors: Spiegelberg, Leonhard Yesantharao, Rahul Schwarzkopf, Malte et al.

Source: Proceedings of the 2021 International Conference on Management of Data ; page 1718-1731

Availability: https://doi.org/10.1145/3448016.3457244
https://dl.acm.org/doi/10.1145/3448016.3457244
https://dl.acm.org/doi/pdf/10.1145/3448016.3457244

Lift your Speed Limits with Cython: Fast native code for Python

Authors: Stefan Behnel Kompetenzzentrum für nicht-textuelle Materialien

Contributors: Stefan Behnel Kompetenzzentrum für nicht-textuelle Materialien

Subject Terms: Computer Science, Studienbereich Informatik, Ingenieurwissenschaften

Relation: https://av.tib.eu/media/41438

Availability: https://av.tib.eu/media/41438

Tuplex: Data Science in Python at Native Code Speed

Authors: Spiegelberg, Leonhard Yesantharao, Rahul Schwarzkopf, Malte et al.

Contributors: Spiegelberg, Leonhard Yesantharao, Rahul Schwarzkopf, Malte et al.

Source: ACM|Proceedings of the 2021 International Conference on Management of Data

File Description: application/pdf

Relation: https://doi.org/10.1145/3448016.3457244; https://hdl.handle.net/1721.1/145943; Spiegelberg, Leonhard, Yesantharao, Rahul, Schwarzkopf, Malte and Kraska, Tim. 2021. "Tuplex: Data Science in Python at Native Code Speed."; PUBLISHER_POLICY

Availability: https://hdl.handle.net/1721.1/145943

bamboo - A high-level HEP analysis library for ROOT::RDataFrame: An analysis example with the CMS NanoAOD format.

Authors: Lidrych, Jindrich

Source: EPJ Web of Conferences; 10/7/2025, Vol. 337, p1-5, 5p

Pythran: Crossing the Python Frontier.

Authors: Guelton, Serge

Source: Computing in Science & Engineering; Mar/Apr2018, Vol. 20 Issue 2, p83-89, 7p

Subject Terms: PYTHON programming language, CODING theory, COMBINATORIAL optimization, ALGORITHMS, COMPUTER software development, SOFTWARE engineering

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.)

A risk estimation study of native code vulnerabilities in Android applications.

Authors: Sanna, Silvia Lucia Soi, Diego Maiorca, Davide et al.

Source: Journal of Cybersecurity; 2024, Vol. 10 Issue 1, p1-12, 12p

Subject Terms: DISEASE risk factors, DATABASES, MOBILE apps, CRYPTOGRAPHY, LIBRARIES

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.

Cython to speed up your Python code

Authors: Stefan Behnel Kompetenzzentrum für nicht-textuelle Materialien

Contributors: Stefan Behnel Kompetenzzentrum für nicht-textuelle Materialien

Subject Terms: Computer Science, Studienbereich Informatik, Ingenieurwissenschaften

Relation: https://av.tib.eu/media/44882

Availability: https://av.tib.eu/media/44882

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

Programming Real-Time Sound in Python.

Authors: De Pra, Yuri Fontana, Federico

Source: Applied Sciences (2076-3417); 6/15/2020, Vol. 10 Issue 12, p4214, 17p

Subject Terms: PYTHON programming language, REAL-time programming, AGILE software development, COMPUTER music, PROGRAMMING languages

OATs'inside: Retrieving Object Behaviors From Native-based Obfuscated Android Applications.

Authors: Graux, Pierre Lalande, Jean-François Viet Triem Tong, Valérie et al.

Source: Digital Threats: Research & Practice; Jun2023, Vol. 4 Issue 2, p1-27, 27p

Subject Terms: DEBUGGING, FLOWGRAPHS, REVERSE engineering, DIVING instruction

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

Hardware and Software Methods for Secure Obfuscation and Deobfuscation: An In-Depth Analysis.

Authors: Saleh, Khaled Darweesh, Dirar Darwish, Omar et al.

Source: Computers (2073-431X); Jul2025, Vol. 14 Issue 7, p251, 67p

Subject Terms: COMPUTER software security, REVERSE engineering, EXPLANATION, INTERNET security, COMPUTER security, INTELLECTUAL property theft, DATA security failures, SECURITY management

Programming real-time sound in Python

Authors: De Pra Y. Fontana F. De Pra, Y. et al.

Contributors: De Pra Y. Fontana F. De Pra, Y. et al.

Subject Terms: Code refactoring, Cython, Numba, Python, Real time, Sound processing

File Description: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000554759300001; volume:10; issue:12; firstpage:4214; numberofpages:17; journal:APPLIED SCIENCES; http://hdl.handle.net/11390/1188213

Availability: http://hdl.handle.net/11390/1188213
https://doi.org/10.3390/APP10124214
https://www.mdpi.com/2076-3417/10/12/4214

MPLR 2020: Proceedings of the 17th International Conference on Managed Programming Languages and Runtimes / Multi-language dynamic taint analysis in a polyglot virtual machine

Authors: Kreindl, Jacob Bonetta, Daniele Stadler, Lukas et al.

Subject Terms: Cross-Language, Multi-Language, Dynamic Taint Analysis, GraalVM, LLVM, Node.js, JavaScript, Python, Native Extensions

Subject Geographic: UL:TN:SY

File Description: text/html

Relation: vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:3-6803/128; local:99146065810803331; system:AC16217497

Availability: https://resolver.obvsg.at/urn:nbn:at:at-ubl:3-6803

PyGeNN: A Python Library for GPU-Enhanced Neural Networks.

Authors: Knight, James C. Komissarov, Anton Nowotny, Thomas

Source: Frontiers in Neuroinformatics; 4/22/2021, Vol. 14, pN.PAG-N.PAG, 12p

Subject Terms: PYTHON programming language, COMPUTATIONAL neuroscience, GRAPHICS processing units, LINEAR network coding, EDGE computing, MACHINE learning