All of my various git alises. I especially like `goops` which is very useful if you just pushed some code and realised you missed something. https://github.com

All of my various git alises. I especially like `goops` which is very useful if you just pushed some code and realised you missed something. https://github.com/k0nserv/dotfiles/blob/7721559be40bba09cd89b9243907df254999cfdd/files/zshrc.symlink#L16-L24 https://github.com/k0nserv/dotfiles/blob/7721559be40bba09cd8... alias gs="g status" alias glff="git pull --ff-only" alias glffc="git pull origin \$(current_branch) --ff-only" alias glc="git pull origin \$(current_branch)" alias gpc="git push origin \$(current_branch)" alias gpcfl="git push origin \$(current_branch) --force-with-lease" function goops { git add -A "$@" && git commit --amend --no-edit && gpcfl } alias gbr="git branch -r" alias grm="git branch --merged | grep -v \"\*\" | xargs -n 1 git branch -d" function mkb() { git fetch && git checkout -b "$1" origin/master } `mkdataenv` is nice for spinning up a quick Jupyter environment for all data analysis needs. https://github.com/k0nserv/dotfiles/blob/7721559be40bba09cd89b9243907df254999cfdd/files/zshrc.symlink#L74-L82 https://github.com/k0nserv/dotfiles/blob/7721559be40bba09cd8... function mkdataenv() { mkvirtualenv --python /usr/local/bin/python3 $1 workon $1 mkdir "$1" cd $1 pip install pandas jupyter numpy matplotlib seaborn pip freeze > requirements.txt jupyter notebook }