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light-city dfe1c933b3 docs: address community issue feedback (#5 #338 #142 #246 #136 #303 )

- const README: rewrite the space-saving claim per issue #5 follow-ups
  (constant-expression const vs #define immediates; which const qualify
  as constant expressions)
- const README: fix the class-section diagnosis per issue #338 (overload
  resolution picks the const overload; the restriction only surfaces
  once that overload is removed)
- sizeof README: virtual-inheritance result is compiler-dependent
  (GCC merges vbptr+vfptr -> 16, MSVC keeps them separate -> 32) #246
- static README: new section on internal linkage / access restriction
  with anonymous-namespace comparison #142
- 10-day practice: full problem list table + fixed day links #136
- new design_pattern/singleton/singleton_default.hpp: reusable
  thread-safe CRTP singleton template, compile+concurrency tested #303

2026-10-13 19:23:54 +08:00

README.md

docs: address community issue feedback (#5 #338 #142 #246 #136 #303 )

2026-10-13 19:23:54 +08:00

README.md

本文档由 C++那些事网站同步生成，网站版本含多语言与更新排版。

C++ Jupyter Notebook 交互

在Python中我们可以使用Jupyter Notebook直接看到结果，例如：

l = [1,2]
l

直接输出：

[1,2]

那当使用C++的时候，例如：

map<string, int> mp{
    {"one",   1},
    {"two",   2},
    {"three", 3},
    {"four",  4}
};

如果要输出，就得循环遍历，可否直接输出结果呢？

so easy!!! Jupyter Notebook可以解决一切问题，哈哈～

如何在Jupyter中玩C++？

在github上有一个仓库，如下所示：

https://github.com/QuantStack/xeus-cling

xeus-cling 是一个用于C++的Jupyter内核，基于C++解释器和Jupyter协议xeus的原生实现。

目前，支持Mac与Linux，但不支持Windows。

安装也是非常简单，首先安装好Anaconda，在里面创建一个虚拟环境：

conda create -n cling

切换进去：

conda activate cling

给新环境安装jupyter和notebook

conda install jupyter notebook

使用conda-forge安装xeus-cling

conda install xeus-cling -c conda-forge

为了加速安装，请记得给Anaconda配置源！

检查是否安装好了内核(kernel)：

jupyter kernelspec list

输出：

python3    /home/xxx/anaconda3/envs/cling/share/jupyter/kernels/python3
xcpp11     /home/xxx/anaconda3/envs/cling/share/jupyter/kernels/xcpp11
xcpp14     /home/xxx/anaconda3/envs/cling/share/jupyter/kernels/xcpp14
xcpp17     /home/xxx/anaconda3/envs/cling/share/jupyter/kernels/xcpp17

打开Jupyter Notebook，就可以看到看到kernel了。

启动Jupyter Notebook：

jupyter-notebook

如何在Jupyter中玩C？

只需要安装c kernel即可！

可以直接在当前环境中创建c kernel，也可以新开一个环境安装，下面是在当前环境中直接安装。

pip install jupyter-c-kernel
install_c_kernel
jupyter kernelspec list

此时，就输出：

c          /home/light/anaconda3/envs/cling/share/jupyter/kernels/c
python3    /home/light/anaconda3/envs/cling/share/jupyter/kernels/python3
xcpp11     /home/light/anaconda3/envs/cling/share/jupyter/kernels/xcpp11
xcpp14     /home/light/anaconda3/envs/cling/share/jupyter/kernels/xcpp14
xcpp17     /home/light/anaconda3/envs/cling/share/jupyter/kernels/xcpp17

启动Jupyter Notebook：

jupyter-notebook

README.md Unescape Escape

C++ Jupyter Notebook 交互

如何在Jupyter中玩C++？

如何在Jupyter中玩C？

README.md