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https://github.com/skylor-tang/python_self_study

Python高级
https://github.com/skylor-tang/python_self_study

git jupyter-lab python3

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Python高级

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# python_self_study
+ 一些关于Python高级部分的自我学习总结和感悟,内容包括
- [元类编程](https://github.com/Skylor-Tang/python_self_study/blob/master/%E5%85%83%E7%B1%BB%E7%BC%96%E7%A8%8B.ipynb)
- [协程和异步](https://github.com/Skylor-Tang/python_self_study/blob/master/%E5%8D%8F%E7%A8%8B%E5%92%8C%E5%BC%82%E6%AD%A5io.ipynb)
- [asyncio](https://github.com/Skylor-Tang/python_self_study/blob/master/asyncio.ipynb)
- [一些源码的简单分析,如Collections实现原理](https://github.com/Skylor-Tang/python_self_study/blob/master/collections%E5%AE%9E%E7%8E%B0%E5%8E%9F%E7%90%86.ipynb)
- [git的使用](https://github.com/Skylor-Tang/python_self_study/blob/master/git%E4%BD%BF%E7%94%A8%E8%87%AA%E5%AD%A6.ipynb)

**推荐git clone到本地,使用本地的Jupyter Lab,或者使用[nbviewer](https://nbviewer.jupyter.org/)进行查看,以获得更好的阅读体验**

### 本地 Jupyter Lab 安装
可通过 pip 直接安装:
+ `pip3 install jupyterlab` 完成安装。
+ 在python_self_study目录内,运行 jupyter-lab 命令即可。

以上是一些本人自学感悟,出现错误在所难免,欢迎指正,谢谢!