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41

The Coder's Apprentice:Learning Programming with Python 3
Spronck, Pieter
Spronck , P 2016 , The Coder's Apprentice : Learning Programming with Python 3 . [s.n.] , S.l. < http://www.spronck.net/pythonbook/index.xhtml >

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42

PyXtal: A Python library for crystal structure generation and symmetry analysis
Fredericks, Scott ; Parrish, Kevin ; Sayre, Dean ; et al.
In Computer Physics Communications April 2021 261

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43

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44

Has the time come to teach parallel programming to secondary school students?
Brođanac, Predrag ; Novak, Josip ; Boljat, Ivica
In Heliyon January 2022 8(1)

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45

A Python-based laboratory course for image and video signal processing on embedded systems
Jaskolka, Karina ; Seiler, Jürgen ; Beyer, Frank ; et al.
In Heliyon October 2019 5(10)

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46

Intelligent cross-linking in polymer simulations: SuSi’s approach to complex 3D networks
Naranjo, David ; Martí, Didac ; Alemán, Carlos ; et al.
In Computer Physics Communications November 2025 316

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47

Digifrac: Reconstruction and quantification of discrete fractures in rocks using micro-CT images
Sun, Lianhe ; Wang, Bin ; Zhang, Yaochen ; et al.
In Computer Physics Communications March 2026 320

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48

Developing Graphics Frameworks with Python and OpenGL
Stemkoski, Lee ; Pascale, Michael

rendering 3D Graphical and digital me... Games development and pr... Computer science Programming and scriptin...
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49

Chapter 3 - Parallelism in Python for novices
Bogaerts, Steven ; Stough, Joshua
In Topics in Parallel and Distributed Computing 2015:25-58

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50

Use of multi-objective examination model to sensitivity analysis for sustainability with three new practices
Şimşek, Ahmet Bahadır
Journal of Modelling in Management, 2022, Vol. 18, Issue 3, pp. 637-658.

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52

Humans are still better than ChatGPT: Case of the IEEEXtreme competition
Koubaa, Anis ; Qureshi, Basit ; Ammar, Adel ; et al.
In Heliyon November 2023 9(11)

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53

GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification
Yan, Yuanting ; Lv, Yan ; Han, Shuangyue ; et al.
In Neurocomputing 7 July 2025 637

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54

Optimising energy flexibility in Finnish residential buildings: A comparative study of PI, rule-based and model predictive control strategies
Ramesh, Rakesh ; Rehman, Hassam Ur ; Hasan, Ala ; et al.
In Energy & Buildings 1 July 2025 338

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55

PH-NODE: A DFPT and finite displacement supercell based python code for searching nodes in topological phononic materials.
Pandey, Prakash ; Pandey, Sudhir K.
Computer Physics Communications. Oct2024, Vol. 303, pN.PAG-N.PAG. 1p.

PYTHON programming langu... BRILLOUIN zones PERTURBATION theory PHONONS INTEGRATED software SIMPLEX algorithm
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56

Green Coding : an Empirical Approach to Harness the Energy Consumption of Software Services
Éco-développement : une approche empirique pour réduire la consommation énergétique des logiciels

belgaid, Mohammed chakib ; Self-adaptation for distributed services and large software systems (SPIRALS) ; Inria Lille - Nord Europe ; et al.
Informatique [cs]. Lille University; Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; SPIRALS - Self-adaptation for distributed services and large software systems, 2022. Français. ⟨NNT : ⟩

datacenter green coding programming languages servers python energy consumption
Dissertation
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57

Green Coding : an Empirical Approach to Harness the Energy Consumption of Software Services
Éco-développement : une approche empirique pour réduire la consommation énergétique des logiciels

Chakib, Mohammed ; Self-adaptation for distributed services and large software systems (SPIRALS) ; Inria Lille - Nord Europe ; et al.
Informatique [cs]. Lille University; Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; SPIRALS - Self-adaptation for distributed services and large software systems, 2022. Français. ⟨NNT : ⟩

datacenter green coding programming languages servers python energy consumption
Dissertation
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58

Communicating Mass Spectrometry Quality Information in mzQC with Python, R, and Java
Bielow, Chris ; Hoffmann, Nils ; Jimenez-Morales, David ; et al.
Journal of the American Society for Mass Spectrometry. 35(8):1875-1882

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59

CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models.
Vieira V ; Rocha M
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Algorithms Programming, Linear Software Metabolic Networks and P... Models, Biological
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