使用Atom支持基於Jupyter的Python開教程詳解
有關於使用Atom進行Python開發的網上資料比較少,最近發現使用Atom結合Hydrogen插件進行Python開發,尤其是數據挖掘相關的工作,整體體驗要好於Vscode,Vscode雖然說也有連接Jupyter的工具,但是交互式的開發Hydrogen體驗更好。
這裡放瞭個動圖來展示一下Hydrogen的強大
插件安裝
Python
- Hydrogen
- atom-ide-ui
- ide-python
這裡要註意,本地的pip需要 安裝 python-language-server[all],在ide-python的readme中有詳細說明
遠程連接
- Remote FTP
- 美化
- simplified-chinese-menu(漢化補丁)
- file-icons(文件夾圖標)
- bracket-colorizer(彩虹括號,找瞭好久,確定就是必須配合暗色主題)
- atom-bracket-highlight(括號高亮)
- atom-clock(加個時鐘在右下角)
- highlight-selected(高亮選擇)
- minimap(類似sublime的右側map欄)
- minimap-highlight-selected(選擇代碼後,map上也高亮,方便定位代碼)
插件配置
Remote FTP
這裡先講一下我的需求,我是需要利用其連接公司服務器上的內容,但是公司服務器是需要跳板機的,所以我需要通過跳板機才能訪問,因此配置上會有些復雜
{ "protocol": "sftp", "host": "跳板機域名", // string - Hostname or IP address of the server. Default: 'localhost' "port": 跳板機端口, // integer - Port number of the server. Default: 22 "user": "用戶名", // string - Username for authentication. Default: (none) "pass": "如果用密鑰這裡就不用填", // 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": "實際的服務器目錄,例如:/服務器域名/用戶名/目錄", // 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": "本地私鑰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": 如果要用動態令牌,這裡就要填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
填寫你的python路徑,比如使用的是conda虛擬環境,就這樣寫
/xxx/anaconda3/envs/xxx/bin/python
Hydrogen
連接本地Kernel
首先需要在上面填寫的路徑下的python環境中安裝ipykernel
python -m ipykernel install –user –name py37
然後用atom打開一個py文件,輸入
# %%
print(‘hello atom’)# %%
print(‘每一個# %%代表一個新的cell’)
然後再第2行末尾按ctrl+enter就會自動彈出來讓你選擇環境的彈窗,選擇剛剛新建的環境即可
然後在Hydrogen裡面通過使用# %%
來分割每一個cell,在Mac中使用option+shift+enter組合鍵來實現運行當前整個ceil,使用command+enter實現運行當前行,使用shift+enter實現運行當前行並跳轉下一行,具體可參考官方文檔
連接遠程Kernel
連接遠程的Jupyter隻需要配置一下Hydrogen設置裡面的Kernel Gateways
,填上如下內容即可
[{"name": "Remote server", "options": { "baseUrl": "jupyter url", "token": "jupyter token" } }]
然後點擊Connect to Remote Kernel
即可
到此這篇關於使用Atom支持基於Jupyter的Python開發的文章就介紹到這瞭,更多相關Atom基於Jupyter的Python開發內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet!
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