A really short video of how I plan and then implement very small programs.

To make a time series very quickly I use pd.date_range. It's one of those convenient commands you can't live without. The video attached shows an example of how to use it

When you’re stuck on a bug, write down the exact input → expected output → actual output in one sentence each. It forces your brain to stop “vibe debugging” and instantly reveals whether the problem is: wrong assumptions about the input a missing edge case state changing earlier than you think or logic that’s correct… but in the wrong place Bonus: once it’s written, the fix usually becomes obvious.

price = prices["BTC"] Do this: price = prices.get("BTC", 0) # default value if missing Super useful when parsing messy JSON / market data feeds.

Use `enumerate()` instead of manually tracking an index Cleaner, less bug-prone, and you can choose where counting starts (`start=1`).