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Difference between revisions of "ESE315 Tutorial 1"

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(Jupyter notebook)
 
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=Jupyter notebook=
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=Jupyter notebook server=
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We have set up a Jupyter notebook account for every student enrolled in the course. You can use this account to log into our server to work on your tutorial and assignments. If you like, you can also [https://atmoschem.org.cn/index.php?title=Python_resources install python and Jupyter] on your own computer. We recommend [https://www.anaconda.com/distribution/ installing the Anaconda distribution] for that purpose.
  
我们为每位选课同学开设了一个Jupyter notebook账号,进行tutorial。大家可以用这个系统做作业,也可以用自己电脑上安装的jupyter做。
 
  
每位同学有一个自己的登录端口和密码,第一次tutorial上课时发放。
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=To use our server=
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*Use a web browser to log in http://172.18.31.50:port  (Your personal port can be obtained from the TA)
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*You can only access the server from a SUSTech IP. If you are visiting from outside the campus, please use the SUSTech VPN.
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*When you are done with your work, please save your notebook and close your job using “Close and Halt”. Then click “Logout”, instead of “Quit”. This will release the computational resources on the server.
  
使用方式:
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During our first tutorial, we will first go through an introduction to Jupyter. After that, we will go over the three notebooks under public/Tutorial-01.
*http://172.18.31.50:端口 (IP由助教通知)
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*仅限校园内网使用,如在校外可使用南科大VPN连接。
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*每次使用后请注意保存并终止Notebook运行(“Close and Halt”)。之后可直接关闭网页或点击“Logout”,请勿点击“Quit”。
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第一次上课我们会操作一遍Jupyter notebook tutorial。然后操作一遍 public/Tutorial-01文件夹下面的几个练习。
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Latest revision as of 14:06, 12 September 2024

Jupyter notebook server

We have set up a Jupyter notebook account for every student enrolled in the course. You can use this account to log into our server to work on your tutorial and assignments. If you like, you can also install python and Jupyter on your own computer. We recommend installing the Anaconda distribution for that purpose.


To use our server

  • Use a web browser to log in http://172.18.31.50:port (Your personal port can be obtained from the TA)
  • You can only access the server from a SUSTech IP. If you are visiting from outside the campus, please use the SUSTech VPN.
  • When you are done with your work, please save your notebook and close your job using “Close and Halt”. Then click “Logout”, instead of “Quit”. This will release the computational resources on the server.

During our first tutorial, we will first go through an introduction to Jupyter. After that, we will go over the three notebooks under public/Tutorial-01.

  • This page was last modified on 12 September 2024, at 14:06.
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