Useful linux and python commands.md

ssh login:-

• ssh username@hostname
• enter your password and you are logged in

file transfer using scp

• Go to your directory in local system where the file is present open terminal
• type:- scp filename username@hostname:~/
• for folder transfer :- scp -r foldername username@hostname:~/

install package in any server using pip and proxy

• pip install --proxy http://username@hostname:port package_name --user
• eg. pip install --proxy http://mcs182012@10.10.78.62:3128 tensorflow-gpu --user

XX is 22 for B.Tech., 62 for M.Tech. and 61 for Ph.D. Enter Port as 3128.

install a package using tar file.

• Go to pypi.org. Search package you wish for.
• In download files section download the relevant tar or zip file.
• Do scp to transfer the file from local system to the server as mentioned above in scp section.
• unzip the zip file or untar the tar file using the command:-

  unzip filename
  or
  tar -xzvf filename
  cd foldername
  python3 -m setup.py install --user

If you are using ANACONDA on hpc then you need to be careful while creating a virtual environment.

Here are the commands.

module load apps/anaconda/3
conda config --set auto_activate_base false
conda init

Then close the terminal and log in again.

module load apps/anaconda/3
conda create --prefix=/home/cse/mtech/mcs182012/myenv
module unload apps/anaconda/3
conda config --set env_prompt '({name}) '
conda activate /home/cse/mtech/mcs182012/myenv

Now you can install your packages using conda install pkgname command and it won't conflict with the existing packages.