diff --git a/docs/.vuepress/public/src/resource/pdf/概率论与数理统计(浙大四版).pdf b/docs/.vuepress/public/src/resource/pdf/概率论与数理统计(浙大四版).pdf new file mode 100644 index 0000000..f45654a Binary files /dev/null and b/docs/.vuepress/public/src/resource/pdf/概率论与数理统计(浙大四版).pdf differ diff --git a/docs/.vuepress/public/src/resource/pdf/西瓜书.pdf b/docs/.vuepress/public/src/resource/pdf/西瓜书.pdf new file mode 100644 index 0000000..4ee51ca Binary files /dev/null and b/docs/.vuepress/public/src/resource/pdf/西瓜书.pdf differ diff --git a/docs/.vuepress/public/src/resource/pdf/高等数学七版（上）.pdf b/docs/.vuepress/public/src/resource/pdf/高等数学七版（上）.pdf new file mode 100644 index 0000000..8de33b5 Binary files /dev/null and b/docs/.vuepress/public/src/resource/pdf/高等数学七版（上）.pdf differ diff --git a/docs/.vuepress/public/src/resource/pdf/高等数学下册.pdf b/docs/.vuepress/public/src/resource/pdf/高等数学下册.pdf new file mode 100644 index 0000000..a6d4e0b Binary files /dev/null and b/docs/.vuepress/public/src/resource/pdf/高等数学下册.pdf differ diff --git a/docs/notes/CS-DIY/编程入门/python.md b/docs/notes/CS-DIY/编程入门/python.md index 313a85c..89fd44c 100644 --- a/docs/notes/CS-DIY/编程入门/python.md +++ b/docs/notes/CS-DIY/编程入门/python.md @@ -14,10 +14,40 @@ com/zh-cn/pycharm/learn/) PyCharm软件安装包可在[PGuide Alist](http://192.168.183.171:5244/softwares/JetBrainsIDEs/pycharm-professional-2024.2.4.exe)下载 -申请教育版参考： +申请教育版参考：[申请学生邮箱](../../%E5%A4%A7%E5%AD%A6%E7%99%BE%E7%A7%91/%E7%94%B3%E8%AF%B7%E5%AD%A6%E7%94%9F%E9%82%AE%E7%AE%B1.md) -[申请学生邮箱](../../%E5%A4%A7%E5%AD%A6%E7%99%BE%E7%A7%91/%E7%94%B3%E8%AF%B7%E5%AD%A6%E7%94%9F%E9%82%AE%E7%AE%B1.md) -读书党 +读书党： ● 《python从入门到精通》一书，代码跟着敲，随书视频跟着看，书籍同时也跟着读 -● 学完python从入门到精通还不够的，这本书囊括并不全面，这个时候去B站找小甲鱼Python，学完就行，python就入门了。 \ No newline at end of file + +● 学完python从入门到精通还不够的，这本书囊括并不全面，这个时候去B站找小甲鱼Python，学完就行，python就入门了@[bilibili](BV1c4411e77t)。 + + + +● 然后重医图书馆《python可视化数据分析》[机器学习实战笔记](https://blog.csdn.net/Crayonxin2000/article/details/122741295)（好像是叫这个名字？反正是一本红色的蜥蜴书，图灵或者机械工业出版的）跟着代码敲，读书，做笔记思考学习数据分析的精髓就行了，然后你就入门数据分析了 + +● 最后就是机器学习。建议你学这个之前有同济绿色版本高数上下册的基础和概率统计的基础，学起来会舒服很多，购买西瓜书读书，然后去GitHub上拉点项目跟着复现实现，恭喜你，机器学习入门了。 + + + + + + + + + + + + + + + + + +● 机器学习分流： 涵盖多种机器学习方向和不同编程语言[github机器学习链接地址](https://github.com/josephmisiti/awesome-machine-learning)。 + + + + + +