{"title":"PyPI:提高作物保护学习者积极性的互联网学习工具","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.napere.2024.100089","DOIUrl":null,"url":null,"abstract":"<div><p>Instructors are always interested in methods to activate learner incentives and motivation to increase learning effectiveness. This paper introduces the Python Package Index (PyPI) as a powerful tool to maximize learner incentives on software and presents an example of its application in agriculture and science. The more useful the PyPI application is, the more it will be downloaded worldwide, providing an external review for the learner, and strengthening their incentive. However, many existing tutorials on PyPI, including the official site, are not updated on the twine library for uploading files to the PyPI site. This paper presents an updated tutorial on using PyPI for counting disaggregated objects such as bugs and pests, and for software reproducibility validation via Code Ocean. Additionally, generative AI is introduced as an indispensable assistant for tasks such as understanding technical terms and providing solutions for encountered problems.</p></div>","PeriodicalId":100809,"journal":{"name":"Journal of Natural Pesticide Research","volume":"10 ","pages":"Article 100089"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773078624000244/pdfft?md5=d8bf16af3f845d5a10d0045d141391c1&pid=1-s2.0-S2773078624000244-main.pdf","citationCount":"0","resultStr":"{\"title\":\"PyPI: An internet-enabled learning tool to boost learner motivation for crop protection\",\"authors\":\"Yoshiyasu Takefuji\",\"doi\":\"10.1016/j.napere.2024.100089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Instructors are always interested in methods to activate learner incentives and motivation to increase learning effectiveness. This paper introduces the Python Package Index (PyPI) as a powerful tool to maximize learner incentives on software and presents an example of its application in agriculture and science. The more useful the PyPI application is, the more it will be downloaded worldwide, providing an external review for the learner, and strengthening their incentive. However, many existing tutorials on PyPI, including the official site, are not updated on the twine library for uploading files to the PyPI site. This paper presents an updated tutorial on using PyPI for counting disaggregated objects such as bugs and pests, and for software reproducibility validation via Code Ocean. Additionally, generative AI is introduced as an indispensable assistant for tasks such as understanding technical terms and providing solutions for encountered problems.</p></div>\",\"PeriodicalId\":100809,\"journal\":{\"name\":\"Journal of Natural Pesticide Research\",\"volume\":\"10 \",\"pages\":\"Article 100089\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2773078624000244/pdfft?md5=d8bf16af3f845d5a10d0045d141391c1&pid=1-s2.0-S2773078624000244-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Natural Pesticide Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773078624000244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Natural Pesticide Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773078624000244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PyPI: An internet-enabled learning tool to boost learner motivation for crop protection
Instructors are always interested in methods to activate learner incentives and motivation to increase learning effectiveness. This paper introduces the Python Package Index (PyPI) as a powerful tool to maximize learner incentives on software and presents an example of its application in agriculture and science. The more useful the PyPI application is, the more it will be downloaded worldwide, providing an external review for the learner, and strengthening their incentive. However, many existing tutorials on PyPI, including the official site, are not updated on the twine library for uploading files to the PyPI site. This paper presents an updated tutorial on using PyPI for counting disaggregated objects such as bugs and pests, and for software reproducibility validation via Code Ocean. Additionally, generative AI is introduced as an indispensable assistant for tasks such as understanding technical terms and providing solutions for encountered problems.