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SUMMARY:Lazy imports and the art of interpreter procrastination - Brittany
  Reynoso
DTSTART;TZID=Europe/Madrid:20261107T105000
DTEND;TZID=Europe/Madrid:20261107T113000
DTSTAMP:20260726T231312Z
UID:pretalx-pycones-2026-73PLNR@pretalx.com
DESCRIPTION:From CLI developers to maintainers of large applications\, man
 y Python developers have been bitten by the high overhead of eagerly loadi
 ng imports. Long start-up times can make it prohibitively costly to run si
 mple commands like --help\, and the memory overhead from loading every imp
 orted module eagerly can trigger Out-Of-Memory errors in production.\n\nAf
 ter the most discussed PEP thread in the history of discuss.python.org\, w
 ith hundreds of messages and fierce debate\, Python 3.15 finally brings Ex
 plicit Lazy Imports to the language. With a simple new keyword\, you can n
 ow defer module loading until the moment you actually need it. This is one
  of the most requested performance features in Python's history\, and fina
 lly it's here.\n\nThis presentation will take you through how we got here 
 and where we're going. We'll look at why existing workarounds never quite 
 worked\, and how an earlier proposal (PEP 690) tried to make all imports l
 azy by default but was rejected. Then PEP 810 emerged with a different app
 roach: explicit\, opt-in syntax that the community accepted.\n\nThe heart 
 of this talk is discovering how lazy imports actually work inside the inte
 rpreter. We'll trace through the implementation\, see how proxy objects st
 and in for unloaded modules\, and watch the moment when your code first to
 uches a lazy import and the real module snaps into place. You'll also lear
 n about the future tooling that we are baking that will help you adopt thi
 s safely in your own projects.\n\nWhether you're a beginner curious about 
 Python's future\, someone looking to speed up your CLI tools\, or you just
  want to understand what's happening under the hood\, this talk will give 
 you everything you need to start using lazy imports with confidence.
LOCATION:Track 01 - Paraninfo Perk
URL:https://pretalx.com/pycones-2026/talk/73PLNR/
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