{"id":20152604,"url":"https://github.com/lihanghang/tecroom","last_synced_at":"2025-04-09T21:32:54.415Z","repository":{"id":50493066,"uuid":"195547438","full_name":"lihanghang/TecRoom","owner":"lihanghang","description":"技术栈在线总结文档，包含编程语言、数据结构与算法、机器学习、数据库等。","archived":false,"fork":false,"pushed_at":"2024-12-01T12:20:26.000Z","size":35479,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-23T23:26:31.725Z","etag":null,"topics":["artificial-intelligence","coding","data-mining","data-structures","deep-learning","design-patterns","docker","java","machine-learning","nlp","python3","summary","text-extraction","text-mining","tools"],"latest_commit_sha":null,"homepage":"https://wiki.lihanghang.top/zh_CN/latest/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lihanghang.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-06T14:18:34.000Z","updated_at":"2024-12-01T12:20:29.000Z","dependencies_parsed_at":"2024-12-01T13:29:11.245Z","dependency_job_id":null,"html_url":"https://github.com/lihanghang/TecRoom","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lihanghang%2FTecRoom","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lihanghang%2FTecRoom/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lihanghang%2FTecRoom/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lihanghang%2FTecRoom/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lihanghang","download_url":"https://codeload.github.com/lihanghang/TecRoom/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248114745,"owners_count":21050102,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","coding","data-mining","data-structures","deep-learning","design-patterns","docker","java","machine-learning","nlp","python3","summary","text-extraction","text-mining","tools"],"created_at":"2024-11-13T23:12:47.862Z","updated_at":"2025-04-09T21:32:54.405Z","avatar_url":"https://github.com/lihanghang.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tec Room  致读者\n\n\u003e 技术屋🏠会不断呈现体系化、层次化的技术内容。\n\u003e\n\u003e 欢迎fans关注，关注后第一时间推送更新内容哦。\n\u003e\n\u003e 也欢迎大家通过各种渠道方式提出建设性的意见。\n\u003e\n\u003e 包括工程研发过程心得、使用工具、编码实践等总结。个人觉得，虽然这块定位是AI工程，但是对于工程来说最基本的编程思维和实操能力是必须的。因此，无论AI还是NO AI 还是重在工程（思维和具备一定应用场景的强撸代码能力）。\n\n- [详戳、详戳、详戳！新年新气象，建设技术屋](https://wiki.lihanghang.top/)\n- 建设日：2020-01-01\n- 累计日：4年12月\n- 期望：进屋如见故友，一杯小酌，怡情自得，豁然开朗\n- 愿景：分享的价值无限\n\nThanks.\n\n\u003c!-- ## 编程书籍推荐\n\n- 《流畅的Python》  主要是编程的语法内容等   \n- 《编写可读代码的艺术》 编码规范等 \n- 《[python3 cookbook](https://python3-cookbook.readthedocs.io/zh_CN/latest/index.html)》 python进阶知识，深入python原理等 \n- 《[python 进阶](https://docs.pythontab.com/interpy/#python)》  深入python语法等  \n- 《[编写高质量代码改善 Python 程序的 91 个建议](https://l1nwatch.gitbook.io/writing_solid_python_code_gitbook/di-1-zhang-yin-lun)》  --\u003e\n\n\u003c!-- ## AI书籍推荐\n\u003e 列举一些AI领域我个人使用的书籍，大方向是机器学习、深度学习具体一点就是NLP、知识图谱等。\n### 机器学习类\n- 《机器学习》周志华 图文并茂，提纲挈领\n- 《统计学习方法 第二版》李航 偏数学理论，硬核干货\n\n## 工具\n\u003e 工程强调效率，有意识借助工具来提升效率很有必要。\n- \n## 代码风格\n- [编写优雅代码](https://www.kancloud.cn/kancloud/sina-boot-camp/content/%E7%BC%96%E5%86%99%E4%BC%98%E9%9B%85%E4%BB%A3%E7%A0%81.md)\n## 环境部署\n- 《Docker从入门到实践》Docker工具学习  \n  + [笔记总结](http://naotu.baidu.com/file/339d9e188959763fdd324e2b01faca66?token=ed8427e091fed5e8)\n\n----\n## AI开发工程师之路🦌\n\u003e 方法论总结\n- [AI研发工程师成长指南](https://mp.weixin.qq.com/s/Ni7rwT6bOW7ny_-tGZGOiA)\n- [技术成长](http://blog.2baxb.me/archives/1578)\n\u003e 自然语言处理应用实践\n- [NLP理论与实践](http://naotu.baidu.com/file/d03df875f9cfc487c8ab0b0749f3f521?token=3a6ae390bb328293)\n\u003e 知识图谱工程实践\n-  --\u003e\n\n---\n\n- 注：这个工程的现有内容，后续会逐步转向[技术屋](https://wiki.lihanghang.top/)并周期性持久更新。\n- [个人网站](https://lihanghang.top/)\n- 邮箱：hanghangli@aliyun.com\n- Updated on February 26, 2023\n- Author: 李航航 北京朝阳\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flihanghang%2Ftecroom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flihanghang%2Ftecroom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flihanghang%2Ftecroom/lists"}