[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9641":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":17,"lastSyncTime":38,"discoverSource":39},9641,"tutorials","MorvanZhou\u002Ftutorials","MorvanZhou","机器学习相关教程","https:\u002F\u002Fmorvanzhou.github.io\u002Ftutorials",null,"Python",12948,5684,657,15,0,2,12,39,10,45,"MIT License",false,"master",[26,27,28,29,30,31,32,33,34],"machine-learning","multiprocessing","neural-network","numpy","python","sklearn","tensorflow","theano","threading","2026-06-12 02:02:10","\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002F\" target=\"_blank\">\n    \u003Cimg width=\"60%\" src=\"%E7%89%87%E5%A4%B4.png\" style=\"max-width:100%;\">\n    \u003C\u002Fa>\n\u003C\u002Fp>\n\n\n\u003Cbr>\n\n我是 周沫凡, [莫烦Python](https:\u002F\u002Fmofanpy.com\u002F) 只是谐音, 我喜欢制作,\n分享所学的东西, 所以你能在这里找到很多有用的东西, 少走弯路. 你能在[这里](https:\u002F\u002Fmofanpy.com\u002Fabout\u002F)找到关于我的所有东西.\n\n## 这个 Python tutorial 的一些内容:\n\n* [Python 基础](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fpython-basic\u002F)\n  * [基础](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fpython-basic\u002Fbasic\u002F)\n  * [多线程 threading](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fpython-basic\u002Fthreading\u002F)\n  * [多进程 multiprocessing](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fpython-basic\u002Fmultiprocessing\u002F)\n  * [简单窗口 tkinter](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fpython-basic\u002Ftkinter\u002F)\n* [机器学习](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002F)\n  * [有趣的机器学习](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002FML-intro\u002F)\n  * [强化学习 (Reinforcement Learning)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Freinforcement-learning\u002F)\n  * [进化算法 (Evolutionary Algorithm) 如遗传算法等](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Fevolutionary-algorithm\u002F)\n  * [Tensorflow (神经网络)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Ftensorflow\u002F)\n  * [PyTorch (神经网络)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Ftorch\u002F)\n  * [Theano (神经网络)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Ftheano\u002F)\n  * [Keras (快速神经网络)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Fkeras\u002F)\n  * [Scikit-Learn (机器学习)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002Fsklearn\u002F)\n  * [机器学习实战](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fmachine-learning\u002FML-practice\u002F)\n* [数据处理](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fdata-manipulation\u002F)\n  * [Numpy & Pandas (处理数据)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fdata-manipulation\u002Fnp-pd\u002F)\n  * [Matplotlib (绘图)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fdata-manipulation\u002Fplt\u002F)\n  * [爬虫](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fdata-manipulation\u002Fscraping\u002F)\n* [其他](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fothers\u002F)\n  * [Git (版本管理)](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fothers\u002Fgit\u002F)\n  * [Linux 简易教学](https:\u002F\u002Fmofanpy.com\u002Ftutorials\u002Fothers\u002Flinux-basic\u002F)\n\n## 赞助和支持\n\n这些 tutorial 都是我用业余时间写出来, 录成视频, 如果你觉得它对你很有帮助, 请你也分享给需要学习的朋友们.\n如果你看好我的经验分享, 也请考虑适当的 [赞助打赏](https:\u002F\u002Fmofanpy.com\u002Fsupport\u002F), 让我能继续分享更好的内容给大家.","MorvanZhou\u002Ftutorials 是一个专注于机器学习及相关技术的Python教程项目。该项目涵盖了从Python基础到高级机器学习算法的广泛内容，包括多线程、多进程编程以及使用TensorFlow、PyTorch等框架进行神经网络开发的知识点。此外，还提供了数据处理（如Numpy和Pandas）、可视化(Matplotlib)及网页抓取等实用技能的教学。适合希望系统性地学习Python编程及其在机器学习领域应用的学习者，无论是初学者还是有一定经验的技术人员都能从中受益。","2026-06-11 03:23:57","top_topic"]