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A batch of the best highlights from what Kevin's read, .
Python [decorators](https://realpython.com/primer-on-python-decorators/) are another popular and convenient use case for inner functions, especially for closures.
**Decorators** are higher-order functions that take a callable (function, method, class) as an argument and return another callable.
Python Inner Functions: What Are They Good For?
Real Python
You likely know what this means
even if you don’t know it in those words.
The hype cycle, as defined by Gartner, [which tracks it](https://www.gartner.com/en/chat/gartner-hype-cycle),
is that series of cyclical events
that happens around nearly all emerging technologies:
the breakthrough,
the “peak of inflated expectations,”
the disillusionment,
the period of actual serviceable uses of the tech,
and the time when it’s adopted.
That pinnacle is the groan time,
the moment Justin Bieber drops more than $1 million
on an NFT.
The moment Facebook buys Oculus.
The moment the bodega starts taking bitcoin
and you know you’ll never be able to escape this thing,
whatever it is.
This Is the Worst Part of the AI Hype Cycle
Angela Watercutter
LATCH is an approach for finding your data and what you should put in your notes, so that you can find them later.
- from Richard Saul Wurman's *Information Anxiety*.
LATCH stands for five things,
**L**ocation,
**A**lphabet,
**T**ime,
**C**ategory and
**H**ierarchy.
How to Organize Your Notes in Obsidian // the LATCH Method
Nicole van der Hoeven
...catch up on these, and many more highlights
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