Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601%
Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
  • Market Cap: 22.92B 0.7601%
  • Volume (24h): 1.55B 0%
  • Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
Home > 视频 > Lysandros Nikolaou: Uncovering the magic of implementing a new Python syntax feature

Lysandros Nikolaou: Uncovering the magic of implementing a new Python syntax feature

Release: 2026/03/25 17:14 Reading: 0

Original author:PyCon Greece

Original source:https://www.youtube.com/embed/K7GjcQAXTl8

PyCon Greece 2025 - Athens, 29-30 August == About the talk == From Python’s new type parameter syntax and exception groups to structural pattern matching and assignment expressions, these are only a few of Python’s multitude of syntax features that all of us can use to make our lives easier. But have you ever thought about what it takes to implement these features? How does your source code get transformed, so that Python knows what to do in order to produce the output that you expect (or not)? The tokenizer, the parser, the bytecode compiler and the interpreter are all pieces to the puzzle of how Python does its magic. In this talk, we’ll look behind Python’s curtains and try to understand together how the CPython implementation takes in your source code, generates a token stream, creates from it an Abstract Syntax Tree, emits bytecode and finally interprets that bytecode to run your programs. And who knows? Maybe you’ll get to hear about some new and shiny syntax features as well! == About Lysandros == Lysandros works as a Senior Software Engineer at Quansight Labs, where he spends most of his time on CPython and the PyData ecosystem. He is a CPython core developer, specializing in the parser, the tokenizer and the REPL. He recently worked on supercharging f-strings in Python 3.12, the new REPL for Python 3.13 and introducing fast string ufuncs in NumPy 2.0. Currently, he's mostly dealing with improving support for free-threaded Python in the PyData ecosystem. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License: https://creativecommons.org/licenses/by-nc-sa/4.0/

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