Kian Yang Lee KianYang-Lee

I get asked pretty regularly what my opinion is on merge commits vs rebasing vs squashing. I've typed up this response so many times that I've decided to just put it in a gist so I can reference it whenever it comes up again.

I use merge, squash, rebase all situationally. I believe they all have their merits but their usage depends on the context. I think anyone who says any particular strategy is the right answer 100% of the time is wrong, but I think there is considerable acceptable leeway in when you use each. What follows is my personal and professional opinion:

Pyenv

Install Multiple Python Versions for Specific Project

Home project: https://github.com/pyenv/pyenv
Reference to: https://www.tecmint.com/pyenv-install-and-manage-multiple-python-versions-in-linux/

1. Install pyenv in Linux

I've always had fzf and ripgrep on my radar, and I've finally gotten around to using them together. Good lord it makes a world of difference, especially when added to Vim as well as Bash.

Add the following snippet to your ~/.bashrc, this add's fzf keybindings to bash and gets fzf to use ripgrep by default for faster searching.

[ -f ~/.fzf.bash ] && source ~/.fzf.bash
export FZF_DEFAULT_COMMAND='rg --files --no-ignore --hidden --follow --glob "!.git/*"'
bind -x '"\C-p": vim $(fzf);'

Okay now what can you do?

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	// Go 1.23 Iterator Patterns: Complete Performance Guide
	//
	// This comprehensive benchmark compares 5 different iteration patterns in Go:
	// 1. Go 1.23 Range-over-Function Iterators (NEW) ⭐
	// 2. Copy-Everything Pattern (TRADITIONAL)
	// 3. Callback Pattern (PRE-ITERATOR)
	// 4. Channel Pattern (GOROUTINE-BASED)
	// 5. Manual Iterator Struct (EXPLICIT STATE)
	//
	// 🏆 KEY FINDINGS:

	# Import DecisionTreeClassifier
	from sklearn.tree import DecisionTreeClassifier

	# Import AdaBoostClassifier
	from sklearn.ensemble import AdaBoostClassifier

	# Instantiate dt
	dt = DecisionTreeClassifier(max_depth=2, random_state=1)

	# Instantiate ada