• Suche: Effective Python

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1

RightTyper: Effective and Efficient Type Annotation for Python
Pizzorno, Juan Altmayer ; Berger, Emery D.

Programming Languages Software Engineering
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2

Python Code for: Value Conservation with Effective Demand (Innovation and the Falling Rate of Profit)
Code Python pour: Conservation de la valeur avec Demande Effective (Innovation et Baisse tendancielle du Taux de Profit)
Ankri, Norbert ; Aix-Marseille Université - Faculté des Sciences (AMU SCI) ; Aix Marseille Université (AMU)

Okishio's theorem theory of value tendency of the rate of... surplus value transformation innovation …
E-Ressource
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3

Design and Fabrication of a Cost-Effective Izod Impact Testing Experimental Set-Up for Evaluation of 3D Printed Plastics By Statistical Analysis Performed in Python Environment
Pereyra, I. ; Lugo-Uribe, L.E. ; González-López, M.A. ; et al.
Experimental Techniques: Developments, Applications and Tutorials in Experimental Mechanics and Dynamics. :1-21

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4

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5

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7

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
Wang, Tianyu ; Zhou, Nianjun ; Chen, Zhixiong

Computer Science - Artif... K.3.2 I.2.7
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8

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9

Effective Design Verification -- Constrained Random with Python and Cocotb
Gadde, Deepak Narayan ; Kumari, Suruchi ; Kumar, Aman

Computer Science - Hardw... Computer Science - Artif...
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10

CoverUp: Effective High Coverage Test Generation for Python
Pizzorno, Juan Altmayer ; Berger, Emery D.

Computer Science - Softw... Computer Science - Artif... Computer Science - Machi... Computer Science - Progr... I.2.0 D.2.5
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11

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12

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13

interface_master: Python package building CSL and approximate CSL interfaces of any two lattices -- an effective tool for interface engineers
Xie, Yaoshu ; Shibata, Kiyou ; Mizoguchi, Teruyasu

Condensed Matter - Mater... Physics - Applied Physic...
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14

RightTyper: Effective and Efficient Type Annotation for Python.
Juan Altmayer Pizzorno ; Emery D. Berger
CoRR. abs/2507.16051

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15

Towards Effective Static Type-Error Detection for Python.
Wonseok Oh ; Hakjoo Oh
ASE. :1808-1820

Konferenz
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17

SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data
Uhl, Mathieu ; Navascués, Miguel ; Boitard, Simon ; et al.

[SDV.BIBS]Life Sciences... Quantitative Methods [q-... [INFO.INFO-CL]Computer S... Computation and Language... [INFO.INFO-MO]Computer S... Modeling and Simulation …
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19

Effective Design Verification - Constrained Random with Python and Cocotb.
Deepak Narayan Gadde ; Suruchi Kumari ; Aman Kumar
CoRR. abs/2407.10312

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