Difference between revisions of "ESE315 Tutorial 1"
From atmoschem
(→Jupyter notebook) |
|||
| Line 1: | Line 1: | ||
| − | =Jupyter notebook= | + | =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 [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. | ||
| − | |||
| − | + | =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. | |
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
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.
- This page has been accessed 2,319 times.
