Use ubuntu remote server-jupyter-notebook remote environment construction from scratch

After having the server's IP, port number, username, and password, how to run python on Ubuntu.

1 Access the remote server

First of all, in order to access the remote server, you can download the following two software:
Xshell
Xftp

2 Install Anaconda

Download the anaconda installation package from the Tsinghua University mirror station and upload it to the remote server.
Use the following statement in the folder where the installation package is located to install. If the anaconda file I downloaded is named ‘anaconda.sh’

bash anaconda.sh

Just follow the instructions to complete the installation.

After initializing conda, use the following statement to use the completed conda environment (after execution, (base) will be displayed at the far left of the command line)

source ~/.bashrc

If there is no .bashrc file, create a new .bashrc file.

vim ~/.bashrc

Enter the following content and change the path to your own anaconda path

# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('/home/lzztlb/guomingchao/software/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then
    eval "$__conda_setup"
else
    if [ -f "/home/lzztlb/guomingchao/software/anaconda3/etc/profile.d/conda.sh" ]; then
        . "/home/lzztlb/guomingchao/software/anaconda3/etc/profile.d/conda.sh"
    else
        export PATH="/home/lzztlb/guomingchao/software/anaconda3/bin:$PATH"
    fi
fi
unset __conda_setup
# <<< conda initialize <<<

To solve the problem, you need to enter the source ~/.bashrc command to display (base) every time you access it.

vim ~/.bash_profile 在文件内部输入 （新文件）

if [ -f ~/.bashrc ] ; then
        source .bashrc
fi

3 Create a python environment

conda create --name your_env_name python=3.8.10 

After installing the environment, you can enter the created python environment installation package, such as pytorch, etc.

conda activate your_env_name
pip install your_package

Install ipykernel and configure the environment into jupyter notebook

pip install ipykernel
python -m ipykernel install --user --name your_env_name

4 Configure Jupyter notebook

In the base environment, if you are not in the base environment, you can use the following statement to return to the base environment.

conda deactivate

Use the following statement to generate the jupyter notebook configuration file

jupyter notebook --generate-config

Use Xftp to open the configuration file 'jupyter_notebook_config.py' under the path /home/your_user_name/.jupyter, find the following statement and configure it, and cancel the previous comment symbol "#"

c.NotebookApp.ip='your_server_ip'
c.NotebookApp.port =8888
c.NotebookApp.password = u'xxxxx-your password'

c.NotebookApp.open_browser = False
c.NotebookApp.notebook_dir = u'/home/xxx'

The password can be generated using the following statement in the terminal

ipython
from notebook.auth import passwd
passwd()

5 Remote access to Jupyter notebook via web page

Xshell accesses the server terminal, starts jupyter notebook and sets it to close the terminal and not terminate the process.

nohup jupyter notebook&

On your local computer, open the URL:

https://your_server_ip:port 

You can also view the log file ‘nohup.out’ generated by the server to view the access URL of jupyter notebook.

After opening the URL, enter the previously set access password to access jupyter notebook.