jupyter c++/python/js/ts

jupyter notebook和juypter lab 对windows c++ kernel都支持的不好:

https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

 

如果要用(cling 或者xeus-cling）,只能选中*nix平台, 测试windows wsl也可以，步骤如下

 

1.安装wsl

2.装miniconda，不要装anaconda（里面的zmq会和cling冲突）

3.安装python包

conda install     -c conda-forge    jupyterlab
conda install     -c conda-forge    xeus-cling
conda install     -c conda-forge    boost

4.配置jupyter lab

jupyter  lab     --generate-config

jupyter_lab_config.py 内容：（密码abc123）

c.NotebookApp.notebook_dir = '/mnt/d/jupyter'
c.NotebookApp.ip = '0.0.0.0'
c.NotebookApp.password = 'sha1:9fb88efadb70:8cb38c269297edbbc6a02f5b11ad8d346e2b9fdd'
c.NotebookApp.open_browser = False
c.NotebookApp.port = 33333
c.NotebookApp.allow_remote_access = True

5.如果有权限问题：

chmod 777 /home/wyt/.jupyter/jupyter_lab_config.py

chmod 777 /home/wyt/.condarc

 

6.重启一下wsl（wsl -t debian），不会的话重启电脑

 

7.运行：jupyter-lab

 

8.几个测试代码

#include <stdio.h>
printf("hello, world.\n");

 

#include <boost/format.hpp>
#include <boost/tokenizer.hpp>
#include <boost/algorithm/string.hpp>
#include <boost/algorithm/string/join.hpp>

std::vector<std::string> cmdarray;
boost::split(cmdarray, "abc def.123;456", boost::is_any_of(" .,:;"), boost::token_compress_on);
std::cout << "output size: " << cmdarray.size() << std::endl;