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Titlebook: Snake Charming - The Musical Python; Iain Gray Textbook 2017 Springer International Publishing AG 2017 Python.Animation.Audiovisual.GUI.Mu

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发表于 2025-3-21 18:29:37 | 显示全部楼层 |阅读模式
书目名称Snake Charming - The Musical Python
编辑Iain Gray
视频video
概述Explains Python’s audio-visual capabilities for music and sound.Concepts developed in tutorials for beginner programmers.Full project code frameworks available for expert programmers.Includes a histor
图书封面Titlebook: Snake Charming - The Musical Python;  Iain Gray Textbook 2017 Springer International Publishing AG 2017 Python.Animation.Audiovisual.GUI.Mu
描述.This book is an innovative introduction to Python and its audio-visual capabilities for beginning programmers; a resource for expert programmers and of interest to anyone involved in music. It is structured around four extensible, audio-visual projects on music and sound. The beginner will appreciate the ‘need to know‘ basis of the presentation of Python for each project, and expert programmers will be able to go straight to the project code, run it and then extend it as they see fit. Musically interested readers will enjoy the historical and theoretical material at the beginning of each project, and it may even tempt them to try some coding - it is not too difficult! .The four projects the book focuses on are all self-contained, but can be extended to incorporate aspects of the others. Above all this book is suited for self-study, which should be playful (pun intended!)..
出版日期Textbook 2017
关键词Python; Animation; Audiovisual; GUI; Music
版次1
doihttps://doi.org/10.1007/978-3-319-60660-6
isbn_softcover978-3-319-60659-0
isbn_ebook978-3-319-60660-6
copyrightSpringer International Publishing AG 2017
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Project Codemercial rivals. Recent releases have enhanced this by adding three dimensional graphics and animation capabilities. This project will develop the graphics and animation facilities required to produce an animated circular drumhead as in Chap. ..
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Textbook 2017ect, and it may even tempt them to try some coding - it is not too difficult! .The four projects the book focuses on are all self-contained, but can be extended to incorporate aspects of the others. Above all this book is suited for self-study, which should be playful (pun intended!)..
发表于 2025-3-22 16:04:42 | 显示全部楼层
AD). Our experiments demonstrate that RVoxM-S is significantly better at identifying subjects at high risk of conversion to AD over the next two years, compared to a binary classification algorithm trained to discriminate converters versus non-converters.
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Iain Grayouraging task-oriented image synthesis. The proposed LDGAN is further armed with a . and an . to model the temporal regularity of MRIs at adjacent time points and encourage the diagnostic consistency, respectively. We also design a weighted loss function to make use of those subjects without ground-
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Iain Graye an iterative self-supervised learning strategy to train a . segmentation model based on a set of reliable training samples automatically generated for a to-be-segmented site. The experimental results on pediatric brain MR images with real artifacts and multi-site subjects from the iSeg-2019 challe
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