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81

Experiences Trialling a Novel Block-to-text Environment in a Summer School Context
Strong, Glenn ; North, Ben ; Gillespie, Brian ; et al.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1. :150-156

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82

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83

Effective Python : 59 Specific Ways to Write Better Python
Brett Slatkin ; Brett Slatkin

Computer programming Python (Computer program...
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84

Publishing Python Packages : Test, Share, and Automate Your Projects
Dane Hillard ; Dane Hillard

Python (Computer program...
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85

An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism
Shunya Kaneki ; Yui Kouketsu ; Mutsuki Aoya ; et al.
Progress in Earth and Planetary Science, Vol 11, Iss 1, Pp 1-14 (2024)

Automatic peak deconvolu... Carbonaceous material Contact metamorphism Geothermometer Raman spectroscopy Geography. Anthropology.... …
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86

Automatic python programming using stack-based genetic programming
Park, Hyun soo ; Kim, Kyung Joong
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. :641-642

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87

Kinetic Diagram Analysis: A Python Library for Calculating Steady-State Observables of Biochemical Systems Analytically.
Carl Awtrey N ; Beckstein O
Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE

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88

Development of 1D-CFD coupling method for natural circulation analyses through benchmark analyses of shutdown heat removal tests in EBR-II
Yoshimura, Kazuo ; Doda, Norihiro ; Tanaka, Masaaki ; et al.
In Annals of Nuclear Energy February 2026 226

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89

Cs, Ba, Co, and Eu sorption on biotite - experiments at ambient temperature and modelling
Kumar, Pawan ; Holgersson, Stellan ; Ekberg, Christian
In Journal of Environmental Radioactivity January 2026 292

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90

Python Concurrency with Asyncio
Matthew Fowler ; Matthew Fowler

Python (Computer program... Application software--De...
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91

TUMME 2023: Tsinghua University Minnesota Master Equation program. New version announcement
Zhang, Rui Ming ; Xu, Xuefei ; Truhlar, Donald G.
In Computer Physics Communications December 2023 293

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92

Efficiency of InN/InGaN/GaN Intermediate-Band Solar Cell under the Effects of Hydrostatic Pressure, In-Compositions, Built-in-Electric Field, Confinement, and Thickness.
Abboudi, Hassan ; EL Ghazi, Haddou ; En-nadir, Redouane ; et al.
Nanomaterials (2079-4991). Jan2024, Vol. 14 Issue 1, p104. 24p.

SOLAR cells CLEAN energy HYDROSTATIC pressure INDIUM gallium nitride PHOTOVOLTAIC power syste... SOLAR energy …
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93

OCT Changes Observed during the Progression of Early Age-Related Macular Degeneration
Heckenlaible, Nicolas J. ; Toomey, Christopher B. ; Handa, James T.
In Ophthalmology Science January-February 2025 5(1)

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94

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95

Real-time scalable UAV condition monitoring framework with hardware-level acceleration for IoT applications
Ntib, Antonios ; Manias, Dimitrios Michael ; Shami, Abdallah
In Internet of Things March 2026 36

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96

Portable, heterogeneous ensemble workflows at scale using libEnsemble.
Hudson, Stephen ; Larson, Jeffrey ; Navarro, John-Luke ; et al.
International Journal of High Performance Computing Applications; Jan2025, Vol. 39 Issue 1, p177-192, 16p

PLASMA accelerators GAUSSIAN processes MACHINE learning SCALABILITY PYTHONS
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97

9 - Data analysis and machine learning tools in MATLAB and Python
In Computational Learning Approaches to Data Analytics in Biomedical Applications 2020:231-290

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98

DarkCapPy: Dark matter capture and annihilation
Green, Adam ; Tanedo, Philip
In Computer Physics Communications September 2019 242:120-131

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99

PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow.
Huang, Sitao ; Wu, Kun ; Jeong, Hyunmin ; et al.
IEEE Transactions on Computers. Dec2021, Vol. 70 Issue 12, p2015-2028. 14p.

PYTHON programming langu... FIELD programmable gate... ALGORITHMS
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100

UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python.
Hallouin, Thibault ; Ellis, Richard J. ; Clark, Douglas B. ; et al.
Geoscientific Model Development. 2022, Vol. 15 Issue 24, p9177-9196. 20p.

COMMUNITIES HYDROLOGIC cycle PYTHON programming langu... WATER supply CONCEPTUAL design FLOODS …
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