Implementation of Python development on remote Linux server with vscode

Aochen 2020-11-09 07:56:25
implementation python development remote linux



Recently, we need to train a model of generating countermeasure network , And then develop the interface , Had to be on a remote with a video card linux On the server , therefore , Take this opportunity to study how to use vscode For remote development .


1 Configure password free login


(1) stay windows Run the command under the system command line :ssh-keygen, Enter all the way , Will be in C:\Users\ user name .ssh Two files are generated in the directory :id_rsa and The former is the private key , The latter is the public key . As shown below :



(2) Copy the contents of the public key file to the remote linux The server needs password free login in the user's home directory .ssh In the table of contents , Rename it to authorized_keys. notes : If more than one machine logs in to linux The user in , perhaps authorized_keys file already exist , Then start a different line , Write public key content .~/.ssh The directory structure is shown below :



(3) stay linux modify .ssh Contents and authorized_keys jurisdiction .

# chmod 700 .ssh
# chmod 600 authorized_keys

(4) Test configuration success , If it works , stay windows In the system, you can log in through the following ways :

# ssh user name @ remote server ip

2 Installing a plug-in


As shown in the figure below , Input “Remote Developement” Find plug-ins , And then click “Install” Installation .



Next , You need to fill in the configuration , Follow the direction of the arrow in the picture below :



This will open the configuration file , In the configuration file , For remote servers IP, user name , Public key file configuration , After filling in ,“ctrl + S” preservation . As shown below :



If you need to develop on multiple remote servers , You can configure more than one in this configuration file Host, Note that multiple different Host name .



3 Connect to remote server


After completing the above configuration , Can be found in vscode Open the remote server in the . As shown below , In the configured Host In the list , The right mouse button can select to connect to the remote server in the current window , Or create a new window to connect to the remote server .



Take a new window to open a remote server , After clicking , The interface is as follows :



In this interface , You can choose the system platform , here , We choose “linux”. after , You can choose to open the directory in the system , After opening , Will expand the tree on the left :


4 Configure remote interpreter


After connecting to the remote server , We need to configure the interpreter for our program . Be careful , Before this step , It must be for vscode Install well Python plug-in unit . Installation method: , Open the plug-in search bar , Input “Python”, Select a search result , Click on “install” Complete the installation :



Then you can continue to configure the compiler . Press shortcut key “ctrl + shift + P” The following screen appears , Choose the first “Python:Selectt Interpreter”.



next ,vscode Will put all of the Python The environment is shown in the form of a list , Click on the one we need :



Here we are , All the steps have been completed , You can write a paragraph Python Code to test . As shown below :



You can see , The output path is linux Directory on , Prove that the configuration is successful .


  1. 利用Python爬虫获取招聘网站职位信息
  2. Using Python crawler to obtain job information of recruitment website
  3. Several highly rated Python libraries arrow, jsonpath, psutil and tenacity are recommended
  4. Python装饰器
  5. Python实现LDAP认证
  6. Python decorator
  7. Implementing LDAP authentication with Python
  8. Vscode configures Python development environment!
  9. In Python, how dare you say you can't log module? ️
  10. 我收藏的有关Python的电子书和资料
  11. python 中 lambda的一些tips
  12. python中字典的一些tips
  13. python 用生成器生成斐波那契数列
  14. python脚本转pyc踩了个坑。。。
  15. My collection of e-books and materials about Python
  16. Some tips of lambda in Python
  17. Some tips of dictionary in Python
  18. Using Python generator to generate Fibonacci sequence
  19. The conversion of Python script to PyC stepped on a pit...
  20. Python游戏开发,pygame模块,Python实现扫雷小游戏
  21. Python game development, pyGame module, python implementation of minesweeping games
  22. Python实用工具,email模块,Python实现邮件远程控制自己电脑
  23. Python utility, email module, python realizes mail remote control of its own computer
  24. 毫无头绪的自学Python,你可能连门槛都摸不到!【最佳学习路线】
  25. Python读取二进制文件代码方法解析
  26. Python字典的实现原理
  27. Without a clue, you may not even touch the threshold【 Best learning route]
  28. Parsing method of Python reading binary file code
  29. Implementation principle of Python dictionary
  30. You must know the function of pandas to parse JSON data - JSON_ normalize()
  31. Python实用案例,私人定制,Python自动化生成爱豆专属2021日历
  32. Python practical case, private customization, python automatic generation of Adu exclusive 2021 calendar
  33. 《Python实例》震惊了,用Python这么简单实现了聊天系统的脏话,广告检测
  34. "Python instance" was shocked and realized the dirty words and advertisement detection of the chat system in Python
  35. Convolutional neural network processing sequence for Python deep learning
  36. Python data structure and algorithm (1) -- enum type enum
  37. 超全大厂算法岗百问百答(推荐系统/机器学习/深度学习/C++/Spark/python)
  38. 【Python进阶】你真的明白NumPy中的ndarray吗?
  39. All questions and answers for algorithm posts of super large factories (recommended system / machine learning / deep learning / C + + / spark / Python)
  40. [advanced Python] do you really understand ndarray in numpy?
  41. 【Python进阶】Python进阶专栏栏主自述:不忘初心,砥砺前行
  42. [advanced Python] Python advanced column main readme: never forget the original intention and forge ahead
  43. python垃圾回收和缓存管理
  44. java调用Python程序
  45. java调用Python程序
  46. Python常用函数有哪些?Python基础入门课程
  47. Python garbage collection and cache management
  48. Java calling Python program
  49. Java calling Python program
  50. What functions are commonly used in Python? Introduction to Python Basics
  51. Python basic knowledge
  52. Anaconda5.2 安装 Python 库(MySQLdb)的方法
  53. Python实现对脑电数据情绪分析
  54. Anaconda 5.2 method of installing Python Library (mysqldb)
  55. Python implements emotion analysis of EEG data
  56. Master some advanced usage of Python in 30 seconds, which makes others envy it
  57. python爬取百度图片并对图片做一系列处理
  58. Python crawls Baidu pictures and does a series of processing on them
  59. python链接mysql数据库
  60. Python link MySQL database