• delete last git stash: git stash drop
• remove old jupyter kernels: jupyter kernelspec uninstall unwanted-kernel
• pull all data from all submodules: git submodule update --init --recursive
• remove a conda environment completely: conda remove --name myenv --all
• new submodule: git submodule add <https_url>
• update all submodules: git submodule update --remote --merge, then commit the new gitlink
• list all jupyter kernels: jupyter kernelspec list
• install a new jupyter kernel for a python interpreter in a conda env python -m ipykernel install --user --name=<CONDA ENV NAME> --display-name="$(python --version): <PRETTY NAME>"

A jupyter kernel is basically something which allows you to access other conda environments using the same jupyter notebook server.

USER=your user name goes here
HOME=/home/$(USER)

all: update clean
	ldconfig && updatedb
	screenfetch

update:
	apt-get install -f
	apt-get update
	apt-get upgrade -y

clean:
	apt autoclean
	apt autoremove -y

   
.PHONY: all update clean