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

I offer a way to track your wins so you can stay movtivatied during the hard times.

Here's a really simple way to track the amount of work you do.

In this video we'll explain the difference between I/O bound tasks and CPU bound tasks it's important to use the right type of parallelism when encountering these very two different problems. Comment any Python libraries you use for these kind of tasks.

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.