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222

Introduction and purpose of the tutorial series Python for Research in Psychology
Rolon-Mérette, Damien ; Church, Kinsey ; Ross, Matt ; et al.
Tutorials in Quantitative Methods for Psychology, Vol 16, Iss 5, Pp S1-S3 (2020)

python psychology Psychology BF1-990
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223

Foundations of Data Science with Python: by John M. Shea, Boca Raton, FL: Chapman & Hall/CRC Press, 2024, xiv + 488 pp., $250.00(H), ISBN: 978-1-032-34674-8.
Wang, Qing
American Statistician. May2025, Vol. 79 Issue 2, p286-286. 1p.

PROGRAMMING languages STATISTICAL hypothesis t... DATA science SCIENTIFIC ability GOODNESS-of-fit tests
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224

Introduction to Python's Syntax
Church, Kinsey ; Rolon-Mérette, Thaddé ; Ross, Matt ; et al.
Tutorials in Quantitative Methods for Psychology, Vol 17, Iss 1, Pp S1-S12 (2021)

python psychology syntax Psychology BF1-990
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225

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
Nightingale, James. W. ; Hayes, Richard G. ; Griffiths, Matthew
Journal of Open Source Software, 6(58), 2550 (2021)

Astrophysics - Instrumen... Computer Science - Progr... Physics - Data Analysis,... Physics - Physics Educat...
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226

Introduction to Anaconda and Python: Installation and setup
Rolon-Mérette, Damien ; Ross, Matt ; Rolon-Mérette, Thaddé ; et al.
Tutorials in Quantitative Methods for Psychology, Vol 16, Iss 5, Pp S3-S11 (2020)

python psychology installation guide anaconda python, anaconda Psychology
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227

Development of a low cost data acquisition system and training of J48 algorithm for classifying faults in cutting tool
Tambake, Nagesh ; Deshmukh, Bhagyesh ; Patange, Abhishek
In Materials Today: Proceedings 2023 72 Part 3:1061-1067

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228

Python Introduction and Installation
William J. Turkel ; Adam Crymble
The Programming Historian (2012)

Python hello world History (General) D1-2009 Computer software QA76.75-76.765
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230

Thin film optics computations in a high-level programming language environment: tutorial
Bosch, Salvador ; Ferré-Borrull, Josep ; Sancho-Parramon, Jordi

Physics - Physics Educat... Physics - Optics
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231

NDL-v2.0: A new version of the numerical differentiation library for parallel architectures
Hadjidoukas, P.E. ; Angelikopoulos, P. ; Voglis, C. ; et al.
In Computer Physics Communications July 2014 185(7):2217-2219

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232

TEACHING ALGORITHMIZATION AND PROGRAMMING USING PYTHON LANGUAGE
M. Lvov ; V. Kruglyk
Ìнформаційні технології в освіті, Iss 20, Pp 13-23 (2014)

Educational programming... first programming langua... Pascal Python Teaching algorithmizatio... Education
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233

Teaching an Introductory Programming Course to Non-Computer Science Majors Using SageMath
MEZEİ, Razvan A.
Volume: 11, Issue: 1 24-28
Turkish Journal of Mathematics and Computer Science

CS 0 CS 0.5 non-major courses SageMath Python introductory programming...
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234

Introduction à Python et installation
William J. Turkel ; Adam Crymble
The Programming Historian en Français, Vol 2 (2020)

History (General) D1-2009 Computer software QA76.75-76.765
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235

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236

Controlled Discovery and Localization of Signals via Bayesian Linear Programming
Spector, Asher ; Janson, Lucas

Statistics - Methodology 62F15 (Primary), 60G35,...
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237

Probabilistic programming in Python using PyMC3
John Salvatier ; Thomas V. Wiecki ; Christopher Fonnesbeck
PeerJ Computer Science, Vol 2, p e55 (2016)

Bayesian statistic Probabilistic Programmin... Python Markov chain Monte Carlo Statistical modeling Electronic computers. Co...
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238

Introduction to Python Language
Python for Accounting and Finance. :11-30

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239

Programming for specific purposes in linguistics: A new challenge for the humanitarian curricula
Alexey I. Gorozhanov ; Innara A. Guseynova
Training, Language and Culture, Vol 4, Iss 4, Pp 23-38 (2020)

applied linguistics programming for specific... python programming langu... pyqt5 graphics library web2py framework Education
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240

MRI-based brain tumour image detection using CNN based deep learning method
Chattopadhyay, Arkapravo ; Maitra, Mausumi
In Neuroscience Informatics December 2022 2(4)

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