Suchergebnisse - (( dynamic code analysis of python programs ) OR ( dynamik code analysis of python progress ))*
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1
Autoren:
Schlagwörter: Evaporation, Python script, Molecular dynamics, Mathematical Sciences, Physical Sciences, Information and Computing Sciences, Nuclear & Particles Physics
Zugangs-URL: https://escholarship.org/uc/item/3kr9q8rc
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Autoren: V.V. Samarov
Quelle: Надежность и качество сложных систем, Iss 2 (2023)
Schlagwörter: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2307-4205
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Autoren: Qunaibit, Mohaned
Dateibeschreibung: application/pdf
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: E-Learning tool, System programming, Concurrent programming, Code instrumentation, Inspector functions, JSON, Konva JS, Canvas, Python, React JS, BPMN
Dateibeschreibung: application/pdf
Verfügbarkeit: http://hdl.handle.net/10198/29615
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5
Autoren:
Quelle: Frontiers in Network Physiology; 2025, p1-21, 21p
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Autoren: Hora, Andre
Quelle: ICSE: International Conference on Software Engineering; 2024, p35-39, 5p
Schlagwörter: SOFTWARE engineering, COMPUTER software testing, COMPUTER software execution, COMPUTER software developers, PYTHON programming language
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Autoren: et al.
Quelle: Empirical Software Engineering; Dec2025, Vol. 30 Issue 6, p1-50, 50p
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Autoren: Ceran, Onur
Quelle: Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi; Aug2025, Vol. 11 Issue 2, p304-320, 17p
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9
Autoren: et al.
Quelle: International Journal of Advances in Applied Sciences (IJAAS); Jun2025, Vol. 14 Issue 2, p469-480, 12p
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Autoren:
Quelle: Journal of Product & Brand Management; 2025, Vol. 34 Issue 8, p1258-1278, 21p
Schlagwörter: BRANDING (Marketing), CONCEPTUAL models, SOCIOLOGY, EMPLOYEE loyalty, CORPORATE image, GROUP identity
Firma/Körperschaft: GLASSDOOR Inc.
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11
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Static Analysis Symposium (SAS) ; https://hal.science/hal-03313409 ; Static Analysis Symposium (SAS), Oct 2021, Chicago, Illinois, United States ; https://conf.researchr.org/home/sas-2021
Schlagwörter: Multilanguage Analysis, Dynamic Programming Language, Abstract Interpretation, Static Analysis, Formal Methods, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]
Geographisches Schlagwort: Chicago, Illinois, United States
Relation: info:eu-repo/grantAgreement//681393/EU/Modular Open Platform for Static Analysis/MOPSA
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12
NAS Parallel Benchmarks with Python: a performance and programming effort analysis focusing on GPUs.
Autoren:
Quelle: Journal of Supercomputing; May2023, Vol. 79 Issue 8, p8890-8911, 22p
Schlagwörter: PYTHON programming language, FORTRAN, C++
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13
Autoren: et al.
Quelle: Plant Direct; Nov2025, Vol. 9 Issue 11, p1-18, 18p
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14
Autoren:
Quelle: Journal of Librarianship & Information Science; Sep2025, Vol. 57 Issue 3, p746-761, 16p
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15
Autoren: et al.
Quelle: IEEE Access, Vol 13, Pp 87928-87940 (2025)
Schlagwörter: Software profiling, program behavior analysis, fuzzing techniques, resource usage metrics, large language models, anomaly detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Dateibeschreibung: electronic resource
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Alternate Title: Python və AlpLogo proqramlaşdırma dillərinin tətbiqi perspektivləri. (Azerbaijani)
Autoren: Huseynova, Vusala
Quelle: Scientific Research / Elmi Tədqiqat; 2025, Vol. 5 Issue 5, p234-238, 6p
Schlagwörter: INFORMATION technology, PROGRAMMING languages, CORE competencies, CRITICAL thinking, AGE groups
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17
Autoren: JALALI, SEYED RASOUL
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Autoren: et al.
Quelle: 工程科学与技术, Vol 57, Pp 51-60 (2025)
Schlagwörter: seismic response, linearization, damping, ABAQUS, secondary development, Engineering (General). Civil engineering (General), TA1-2040, Hydraulic engineering, TC1-978
Dateibeschreibung: electronic resource
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19
Autoren: et al.
Quelle: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p363-393, 31p
Schlagwörter: PYTHONS, MACHINE learning, OPERATOR functions, HYPERGRAPHS
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Quelle: Safety and Feasibility of the Cornea DomeLens Ocular Surface Imaging System
Ang M, Cai Y, MacPhee B, Sim DA, Keane PA, Sng CC, Egan CA, Tufail A, Larkin DF, Wilkins MR. Optical coherence tomography angiography and indocyanine green angiography for corneal vascularisation. Br J Ophthalmol. 2016 Nov;100(11):1557-1563. doi: 10.1136/bjophthalmol-2015-307706. Epub 2016 Jan 28.
Steger B, Romano V, Kaye SB. Corneal Indocyanine Green Angiography to Guide Medical and Surgical Management of Corneal Neovascularization. Cornea. 2016 Jan;35(1):41-5. doi: 10.1097/ICO.0000000000000683.
McMonnies CW, Chapman-Davies A. Assessment of conjunctival hyperemia in contact lens wearers. Part I. Am J Optom Physiol Opt. 1987 Apr;64(4):246-50. doi: 10.1097/00006324-198704000-00003.
Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003 Oct;22(7):640-50. doi: 10.1097/00003226-200310000-00008.
Guthoff RF, Baudouin C, Stave J. Atlas of Confocal Laser Scanning In-Vivo Microscopy in Ophthalmology. Springer; 2007
Krachmer JH, Mannis MJ, Holland EJ. Cornea. In: Vol I. 3rd Edition. Mosby Elsevier; 2011.
Steger B, Romano V, Jesacher A, et al. Ocular Surface Photography 2.0 -Curved Object Plane For Corneal Imaging. Appl Opt. in press 2017
Efron N. Grading scales for contact lens complications. Ophthalmic Physiol Opt. 1998 Mar;18(2):182-6. doi: 10.1016/s0275-5408(97)00066-5.
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