Writing Good Python Print

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Conventions and practice.

WHAT TO FOLLOW

The established style guide, applied by a formatter.

WHAT TO PREFER

Clarity over cleverness Explicit over implicit Flat over deeply nested

WHAT TO USE

Comprehensions, for transforming collections readably Context managers, for anything requiring cleanup Generators, for large sequences processed one at a time

WHY CONTEXT MANAGERS

They guarantee cleanup, even when an error occurs.

WHY GENERATORS

They avoid holding an entire sequence in memory.

WHAT TO BE CAREFUL WITH

Mutable default arguments, which are created once and shared Modifying a collection while iterating it Catching every exception indiscriminately

THAT FIRST POINT

A classic trap that surprises everyone once.

WHAT TO ANNOTATE

Function signatures, at minimum.

WHY

They document intent and enable checking.

WHAT TO ORGANISE INTO

Modules and packages, with clear responsibilities.

WHAT TO WRITE

Docstrings on anything non-obvious.

WHAT TO TEST

Behaviour, with a standard test framework.


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