发布求助
文献互助 智能选刊 最新文献

Proceedings of the Python in Science Conference最新文献

筛选
英文 中文
SciPy Tools Plenary on Matplotlib SciPy Tools全会上的Matplotlib
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-342d178e-029
Elliott de Andrade
{"title":"SciPy Tools Plenary on Matplotlib","authors":"Elliott de Andrade","doi":"10.25080/majora-342d178e-029","DOIUrl":"https://doi.org/10.25080/majora-342d178e-029","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":" 68","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132012270","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: 1
Speeding Up Molecular Dynamics Trajectory Analysis with MPI Parallelization MPI并行化加速分子动力学轨迹分析
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-019
Edis Jakupovic, O. Beckstein
{"title":"Speeding Up Molecular Dynamics Trajectory Analysis with MPI Parallelization","authors":"Edis Jakupovic, O. Beckstein","doi":"10.25080/majora-1b6fd038-019","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-019","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"320 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133490157","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
Pandera: Going Beyond Pandas Data Validation 熊猫:超越熊猫数据验证
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/gerudo-f2bc6f59-010
Niels Bantilan
{"title":"Pandera: Going Beyond Pandas Data Validation","authors":"Niels Bantilan","doi":"10.25080/gerudo-f2bc6f59-010","DOIUrl":"https://doi.org/10.25080/gerudo-f2bc6f59-010","url":null,"abstract":"—Data quality remains a core concern for practitioners in machine learning, data science, and data engineering, and many specialized packages have emerged to fulfill the need of validating and monitoring data and models. However, as the open source community creates new data processing frameworks - notably, new highly performant entrants such as Polars - existing data quality frameworks need to catch up to support them, and in some cases, the Python community more broadly creates new data validation libraries for these new data frameworks. This paper outlines pandera’s motivation and challenges that took it from being a pandas-only data validation framework [1] to one that is extensible to other non-pandas-compliant dataframe-like libraries. It also provides an informative case study of the technical and organizational challenges associated with expanding the scope of a library beyond its original boundaries.","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"22 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":"131600364","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
Distributed statistical inference with pyhf powered by funcX 由funcX支持的pyhf分布式统计推断
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-023
M. Feickert
{"title":"Distributed statistical inference with pyhf powered by funcX","authors":"M. Feickert","doi":"10.25080/majora-1b6fd038-023","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-023","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"5 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":"128808586","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
seaborn-image : image data visualization in Python seaborn-image: Python中的图像数据可视化
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-016
S. Jariwala
{"title":"seaborn-image : image data visualization in Python","authors":"S. Jariwala","doi":"10.25080/majora-1b6fd038-016","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-016","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"16 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":"128777372","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: scikit-image annual update SciPy Tools全会:scikit-image年度更新
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-02a
Gregory Lee
{"title":"SciPy Tools Plenary: scikit-image annual update","authors":"Gregory Lee","doi":"10.25080/majora-1b6fd038-02a","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-02a","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"21 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":"123719127","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
MDAKits: A Framework for FAIR-Compliant Molecular Simulation Analysis MDAKits:一个公平兼容的分子模拟分析框架
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/gerudo-f2bc6f59-00a
Irfan Alibay, Lily Wang, Fiona B. Naughton, Ian M. Kenney, J. Barnoud, Richard J. Gowers, O. Beckstein
{"title":"MDAKits: A Framework for FAIR-Compliant Molecular Simulation Analysis","authors":"Irfan Alibay, Lily Wang, Fiona B. Naughton, Ian M. Kenney, J. Barnoud, Richard J. Gowers, O. Beckstein","doi":"10.25080/gerudo-f2bc6f59-00a","DOIUrl":"https://doi.org/10.25080/gerudo-f2bc6f59-00a","url":null,"abstract":"—The reproducibility and transparency of scientific findings are widely recognized as crucial for promoting scientific progress. However, when it comes to scientific software, researchers face many barriers and few incentives to ensure that their software is open to the community, thoroughly tested, and easily accessible. To address this issue, the MDAKits framework has been developed, which simplifies the process of creating toolkits for the MDAnalysis simulation analysis package (https://www.mdanalysis.org/) that follow the basic principles of FAIR (findability, accessibility, interoperability, and reusability). The MDAKit framework provides a cookiecutter template, best practices documentation, and a continually validated registry. Registered kits are continually tested against the latest release and development version of the MDAnalysis library and their code health is indicated with badges. Users can browse the registry frontend (https://mdakits.mdanalysis.org/) to find new packages, learn about associated publications, and assess the package health in order to make informed decisions about using a MDAKit in their own research. The criteria for registering an MDAKit (open source, version control, documentation, tests) are similar to the criteria required for publishing a paper in a software journal, so we encourage and support publication in, e.g., the Journal of Open Source Software, creating further academic incentive for researchers to publish code. Through the MDAKits framework, we aim to foster the creation of a diverse ecosystem of sustainable community-driven downstream tools for MDAnalysis and hope to provide a blueprint for a model for growing communities around other scientific packages.","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"65 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":"121109090","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
Awkward Array 尴尬的数组
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-024
J. Pivarski
{"title":"Awkward Array","authors":"J. Pivarski","doi":"10.25080/majora-1b6fd038-024","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-024","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"21 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":"130922038","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: 8
Adopting static typing in scientific projects 在科研项目中采用静态类型
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/majora-1b6fd038-021
Predrag Gruevski, Colin Carroll
{"title":"Adopting static typing in scientific projects","authors":"Predrag Gruevski, Colin Carroll","doi":"10.25080/majora-1b6fd038-021","DOIUrl":"https://doi.org/10.25080/majora-1b6fd038-021","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":"129611977","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
To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets with HiGlass 十亿及以上:如何用HiGlass可视化地探索，比较和共享大型定量数据集
Proceedings of the Python in Science Conference Pub Date : 1900-01-01 DOI: 10.25080/MAJORA-7DDC1DD1-01C
Peter Kerpedjiev, Nezar Abdennur, Fritz Lekschas
{"title":"To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets with HiGlass","authors":"Peter Kerpedjiev, Nezar Abdennur, Fritz Lekschas","doi":"10.25080/MAJORA-7DDC1DD1-01C","DOIUrl":"https://doi.org/10.25080/MAJORA-7DDC1DD1-01C","url":null,"abstract":"","PeriodicalId":364654,"journal":{"name":"Proceedings of the Python in Science Conference","volume":"56 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":"133244743","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信