A bash script to make MacBook ready for data science

fresh-install.sh

# install brew 
ruby -e "$(curl -fsSL https://raw.zshhubusercontent.com/Homebrew/install/master/install)"

brew doctor

# install zsh
brew install zsh

# install wget using brew
brew install wget

# TODO: download LATEST anaconda version and install it
wget https://repo.anaconda.com/archive/Anaconda3-2019.03-MacOSX-x86_64.sh

# download tunnel blick VPN
wget https://tunnelblick.net/release/Latest_Tunnelblick_Stable.dmg

# install iterm2 with brew
brew cask install iterm2

# install iterm2 fonts
brew tap caskroom/fonts && brew cask install font-source-code-pro

# download and install sublime text
brew cask install sublime-text
ln -s /Applications/Sublime\ Text.app/Contents/SharedSupport/bin/subl /usr/local/bin/subl

# install 7zip
brew install p7zip

# brew install autojump
brew install autojump

# brew install spotify
brew cask install --appdir="/Applications" spotify

echo "[ -f /usr/local/etc/profile.d/autojump.sh ] && . /usr/local/etc/profile.d/autojump.sh" >> ~/.bash_profile

# add shortcuts and 'source zshrc' to .bashrc
echo "source ~/.zshrc" >> ~/.bash_profile
echo "alias ll='ls -lrt'" >> ~/.bash_profile
echo "alias gitpullall='for b in `git branch -r | grep -v -- '->'`; do git branch --track ${b##origin/} $b; done'" >> ~/.bash_profile

source ~/.bash_profile