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This is a short (10 hours) introductory course on Python that is offered within the PhD program in Psychological Sciences (University of Padova). R is more extensively used for statistical analysis and data science in this PhD program, but familiarity with Python is useful for different purposes, including advanced machine learning applications, deep learning models, natural language processing, computational efficiency in some scenarios, and programming experiments. Also, Python is widely required in industry and business, so basic proficiency with it a valuable asset! No prerequisites, but having attended Basics of R for Data Science may greatly help (well, it is a mandatory course for our PhD students)

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HarvardX: Introduction to Data Science with Python

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Learn the concepts and techniques that make up the foundation of data science and machine learning.

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Replicability Crisis in Science - Public Lecture by prof. Parmigiani and prof. Fitelson

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Replicability Crisis in Science - Public Lecture by prof. Parmigiani and prof. Fitelson

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REGISTRATION FORM: https://docs.google.com/forms/d/e/1FAIpQLSfUcMuZERIztTxNZKArZmezwNYBxOopukyJ11PlNcrjOpJYYw/viewform

SCHEDULE:

https://psicostat.github.io/replicability-psy-unipd-phd/schedule.html

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Tavola Rotonda su Methodological Review Board

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Tavola Rotonda su Methodological Review Board

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REGISTRATION FORM:

https://forms.gle/82FgTCCyTTJ3fBL18

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Videos and courses:

https://www.psychopy.org/teaching/index.html

https://www.psychopy.org/gettingStarted.html

Simple tutorial:

https://www.psychopy.org/coder/tutorial1.html

Visual library:

https://www.psychopy.org/api/visual/index.html

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Resources for teaching and learning — PsychoPy v2025.1.1

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There are a number of further resources to help learn/teach about PsychoPy.

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Wulff, D.U., Mata, R. Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement. Nature Human Behaviour 9, 944–954 (2025). https://doi.org/10.1038/s41562-024-02089-y

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Wulff and Mata (2025) Semantic embeddings reveal taxonomic incommensurability psychology

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Python Data Science Handbook | Python Data Science Handbook

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This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks.