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Scientific Python Ecosystem Coordination 科学巨蟒生态系统协调
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-028
K. Millman, Stéfan J. van der Walt
{"title":"Scientific Python Ecosystem Coordination","authors":"K. Millman, Stéfan J. van der Walt","doi":"10.25080/majora-1b6fd038-028","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-028","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131678997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing 使用GeoClaw和云计算对陆上油气流动进行高保真建模的Python工作流
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-7ddc1dd1-017
Pi-Yueh Chuang, Tracy Thorleifson, L. Barba
{"title":"Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing","authors":"Pi-Yueh Chuang, Tracy Thorleifson, L. Barba","doi":"10.25080/majora-7ddc1dd1-017","DOIUrl":"https://doi.org/10.25080/majora-7ddc1dd1-017","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126596259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building and Replicating Models of Visual Search Behavior with Tensorflow and the Scientific Python Stack 用Tensorflow和Scientific Python Stack构建和复制视觉搜索行为模型
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/MAJORA-7DDC1DD1-021
D. Nicholson
{"title":"Building and Replicating Models of Visual Search Behavior with Tensorflow and the Scientific Python Stack","authors":"D. Nicholson","doi":"10.25080/MAJORA-7DDC1DD1-021","DOIUrl":"https://doi.org/10.25080/MAJORA-7DDC1DD1-021","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126051181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Mouse Aging Cell Atlas: cell biology meets Python 小鼠衰老细胞图谱:细胞生物学与Python的结合
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-7ddc1dd1-023
A. Pisco, N. Schaum, A. McGeever, Jim Karkanias, N. Neff, S. Darmanis, T. Wyss-Coray, S. Quake
{"title":"The Mouse Aging Cell Atlas: cell biology meets Python","authors":"A. Pisco, N. Schaum, A. McGeever, Jim Karkanias, N. Neff, S. Darmanis, T. Wyss-Coray, S. Quake","doi":"10.25080/majora-7ddc1dd1-023","DOIUrl":"https://doi.org/10.25080/majora-7ddc1dd1-023","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125089160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
itk-elastix: Medical image registration in Python itk-elastix: Python医学图像配准
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/gerudo-f2bc6f59-00d
K. Ntatsis, Niels Dekker, Viktor van der Valk, Tom Birdsong, Dženan Zukić, S. Klein, M. Staring, Matthew Mccormick
{"title":"itk-elastix: Medical image registration in Python","authors":"K. Ntatsis, Niels Dekker, Viktor van der Valk, Tom Birdsong, Dženan Zukić, S. Klein, M. Staring, Matthew Mccormick","doi":"10.25080/gerudo-f2bc6f59-00d","DOIUrl":"https://doi.org/10.25080/gerudo-f2bc6f59-00d","url":null,"abstract":"—Image registration plays a vital role in understanding changes that occur in 2D and 3D scientific imaging datasets. Registration involves finding a spatial transformation that aligns one image to another by optimizing relevant image similarity metrics. In this paper, we introduce itk-elastix , a user-friendly Python wrapping of the mature elastix registration toolbox. The open-source tool supports rigid, affine, and B-spline deformable registration, making it versatile for various imaging datasets. By utilizing the modular de-sign of itk-elastix , users can efficiently configure and compare different registration methods, and embed these in image analysis workflows.","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards a Scientific Workflow Description: a yt Project Prototype for Interdisciplinary Analysis 走向科学的工作流程描述:一个跨学科分析的yt项目原型
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-017
Samantha Walkow, C. Havlin, Matthew A. Turk, C. Cadiou
{"title":"Towards a Scientific Workflow Description: a yt Project Prototype for Interdisciplinary Analysis","authors":"Samantha Walkow, C. Havlin, Matthew A. Turk, C. Cadiou","doi":"10.25080/majora-1b6fd038-017","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-017","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127132355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Modified Strassen Algorithm to Accelerate Numpy Large Matrix Multiplication with Integer Entries 一种改进的Strassen算法加速Numpy大矩阵整数乘法
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/gerudo-f2bc6f59-002
Anthony F. Breitzman
{"title":"A Modified Strassen Algorithm to Accelerate Numpy Large Matrix Multiplication with Integer Entries","authors":"Anthony F. Breitzman","doi":"10.25080/gerudo-f2bc6f59-002","DOIUrl":"https://doi.org/10.25080/gerudo-f2bc6f59-002","url":null,"abstract":"—Numpy is a popular Python library widely used in the math and scientific community because of its speed and convenience. We present a Strassen type algorithm for multiplying large matrices with integer entries. The algorithm is the standard Strassen divide and conquer algorithm but it crosses over to Numpy when either the row or column dimension of one of the matrices drops below 128. The algorithm was tested on a MacBook, an I7 based Windows machine as well as a Linux machine running a Xeon processor and we found that for matrices with thousands of rows or columns and integer entries, the Strassen based algorithm with crossover performed 8 to 30 times faster than regular Numpy on such matrices. Although there is no apparent advantage for matrices with real entries, there are a number of applications for matrices with integer coefficients.","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emukit: A Python toolkit for decision making under uncertainty Emukit:一个在不确定情况下进行决策的Python工具包
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/gerudo-f2bc6f59-009
Andrei Paleyes, Maren Mahsereci, Neil D. Lawrence
{"title":"Emukit: A Python toolkit for decision making under uncertainty","authors":"Andrei Paleyes, Maren Mahsereci, Neil D. Lawrence","doi":"10.25080/gerudo-f2bc6f59-009","DOIUrl":"https://doi.org/10.25080/gerudo-f2bc6f59-009","url":null,"abstract":"—Emukit is a highly flexible Python toolkit for enriching decision making under uncertainty with statistical emulation. It is particularly pertinent to complex processes and simulations where data are scarce or difficult to acquire. Emukit provides a common framework for a range of iterative methods that propagate well-calibrated uncertainty estimates within a design loop, such as Bayesian optimisation, Bayesian quadrature and experimental design. It also provides multi-fidelity modelling capabilities. We describe the software design of the package, illustrate usage of the main APIs, and showcase the breadth of use cases in which the library already has been used by the research community.","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122194503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
US Research Software Sustainability Institute (URSSI) Pilot 'Summer' School 美国研究软件可持续发展研究所(URSSI)试点暑期学校
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/MAJORA-7DDC1DD1-025
Kyle E. Niemeyer, Jeffrey C. Carver, Karthik Ram
{"title":"US Research Software Sustainability Institute (URSSI) Pilot 'Summer' School","authors":"Kyle E. Niemeyer, Jeffrey C. Carver, Karthik Ram","doi":"10.25080/MAJORA-7DDC1DD1-025","DOIUrl":"https://doi.org/10.25080/MAJORA-7DDC1DD1-025","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SciPy Tools Plenary: Jupyter Updates SciPy Tools全会:木星更新
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-027
Isabela Presedo-Floyd, M. Bussonnier
{"title":"SciPy Tools Plenary: Jupyter Updates","authors":"Isabela Presedo-Floyd, M. Bussonnier","doi":"10.25080/majora-1b6fd038-027","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-027","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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