Python 官方文档:入门教程 => 点击学习
有关于使用Atom进行python开发的网上资料比较少,最近发现使用Atom结合Hydrogen插件进行python开发,尤其是数据挖掘相关的工作,整体体验要好于vscode,Vsc
有关于使用Atom进行python开发的网上资料比较少,最近发现使用Atom结合Hydrogen插件进行python开发,尤其是数据挖掘相关的工作,整体体验要好于vscode,Vscode虽然说也有连接Jupyter的工具,但是交互式的开发Hydrogen体验更好。
这里放了个动图来展示一下Hydrogen的强大
这里要注意,本地的pip需要 安装 python-language-server[all],在ide-python的readme中有详细说明
Remote FTP
这里先讲一下我的需求,我是需要利用其连接公司服务器上的内容,但是公司服务器是需要跳板机的,所以我需要通过跳板机才能访问,因此配置上会有些复杂
{
"protocol": "sftp",
"host": "跳板机域名", // string - Hostname or IP address of the server. Default: 'localhost'
"port": 跳板机端口, // integer - Port number of the server. Default: 22
"user": "用户名", // string - Username for authentication. Default: (none)
"pass": "如果用密钥这里就不用填", // string - PassWord for password-based user authentication. Default: (none)
"promptForPass": false, // boolean - Set to true for enable password/passphrase dialog. This will prevent from using cleartext password/passphrase in this config. Default: false
"remote": "实际的服务器目录,例如:/服务器域名/用户名/目录", // try to use absolute paths starting with /
"agent": "", // string - Path to ssh-agent's UNIX Socket for ssh-agent-based user authentication. linux/Mac users can set "env" as a value to use env SSH_AUTH_SOCK variable. windows users: set to 'pageant' for authenticating with Pageant or (actual) path to a cygwin "UNIX socket." Default: (none)
"privatekey": "本地私钥path", // string - Absolute path to the private key file (in OpenSSH fORMat). Default: (none)
"passphrase": "", // string - For an encrypted private key, this is the passphrase used to decrypt it. Default: (none)
"hosthash": "", // string - 'md5' or 'sha1'. The host's key is hashed using this method and passed to the hostVerifier function. Default: (none)
"ignorehost": true,
"connTimeout": 10000, // integer - How long (in milliseconds) to wait for the SSH handshake to complete. Default: 10000
"keepalive": 10000, // integer - How often (in milliseconds) to send SSH-level keepalive packets to the server (in a similar way as OpenSSH's ServerAliveInterval config option). Set to 0 to disable. Default: 10000
"keyboardInteractive": 如果要用动态令牌,这里就要填true, // boolean - Set to true for enable verifyCode dialog. Keyboard interaction authentication mechanism. For example using Google Authentication (Multi factor)
"keyboardInteractiveForPass": false, // boolean - Set to true for enable keyboard interaction and use pass options for password. No open dialog.
"remoteCommand": "",
"remoteshell": "",
"watch":[],
"watchTimeout":500, // integer - The duration ( in milliseconds ) from when the file was last changed for the upload to begin.
}
ide-python
需要配置一下Python Executable
填写你的python路径,比如使用的是conda虚拟环境,就这样写
/xxx/anaconda3/envs/xxx/bin/python
Hydrogen
连接本地Kernel
首先需要在上面填写的路径下的python环境中安装ipykernel
python -m ipykernel install --user --name py37
然后用atom打开一个py文件,输入
# %%
print('hello atom')# %%
print('每一个# %%代表一个新的cell')
然后再第2行末尾按ctrl+enter就会自动弹出来让你选择环境的弹窗,选择刚刚新建的环境即可
然后在Hydrogen里面通过使用# %%
来分割每一个cell,在Mac中使用option+shift+enter组合键来实现运行当前整个ceil,使用command+enter实现运行当前行,使用shift+enter实现运行当前行并跳转下一行,具体可参考官方文档
连接远程的Jupyter只需要配置一下Hydrogen设置里面的Kernel Gateways
,填上如下内容即可
[{"name": "Remote server",
"options": {
"baseUrl": "jupyter url",
"token": "jupyter token"
}
}]
然后点击Connect to Remote Kernel
即可
到此这篇关于使用Atom支持基于Jupyter的Python开发的文章就介绍到这了,更多相关Atom基于Jupyter的Python开发内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网!
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本文标题: 使用Atom支持基于Jupyter的Python开教程详解
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