JupyterNotebook

Read, write and execute C, C++, Javascript, Shell scripts, HTML, LaTex in jupyter notebook, And also execute them on remote computer

Requirements

• Install Jupyter notebook click here
• (optional) Install LaTex for your OS get it here
• (optional) or Use Google Colab lets go!!

Files

• C++
• C
• Web
• Shell
• LaTex

Run code on remote computer

In order to run our code from local computer to remote computer we need to use ssh.
As we, have a jupyter lab/notebook is running we can simply use ssh local port forwoarding to tunnel our ipython files with kernel that we are running.

• 1st we have to run ipython kernel in terminal

%  ipython kernel 
NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.

To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.

To read more about this, see https://github.com/ipython/ipython/issues/2049


To connect another client to this kernel, use:
    --existing kernel-1839.json

As we get kernel-wxyz.json. we have to read it so we can get which port our jupyter is running.

• For getting kernel-wxyz.json we can run jupyter --runtime --dir

*Remember in order to execute bash command in Jupyter notebook you have to add "!" before your command.

e.g. !jupyter --runtime --dir

%   jupyter --runtime --dir
/Users/mithunparab/Library/Jupyter/runtime
 %  cd /Users/mithunparab/Library/Jupyter/runtime
 %  ls
.
.
kernel-1839.json
.
.
.
 %  cat kernel-1839.json
{
  "shell_port": 50170,
  "iopub_port": 50174,
  "stdin_port": 50171,
  "control_port": 50172,
  "hb_port": 50176,
  "ip": "127.0.0.1",
  "key": "6a45fe25-2wegc5erw3uro4fw8rw3",
  "transport": "tcp",
  "signature_scheme": "hmac-sha256",
  "kernel_name": ""
}                    

• After we get the ports, we can do local ssh port forwording

Note: Try to use key based authentication for ssh for security and avoid repeatability of password.

% ssh user@remote -f -N -L 50170:127.0.0.1:50170
% ssh user@remote -f -N -L 50174:127.0.0.1:50174
% ssh user@remote -f -N -L 50171:127.0.0.1:50171
% ssh user@remote -f -N -L 50172:127.0.0.1:50172

• copy kernel-wxyz.json to remote computer

% rsync -av user@remote:.ipython/profile_default/security/kernel-1839.json ~/.ipython/profile_default/security/kernel-1839.json

• That's it now you can start ipkernel on your remote computer with aboved kernel

% ipython3 console --existing kernel-1839.json

Note:

In Jupyter notebook, LaTex syntax can be execucate using magic tag %%latex
In order to convert yout LaTex to PDF you need to install nbconvert and follow this link for using latex tool of your choice
%%latex supports in Jupyter Notebook but may not work in Google colab