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by Michael Chen
Python 3.12: New Features You Should Know
Python 3.12 brings several exciting new features and optimizations. Letβs dive into the most significant changes.
1. Pattern Matching Enhancements
Pattern matching (introduced in Python 3.10) gets even better:
# More powerful pattern matching
match point:
case (x, y) if x == y:
print(f"Y = X at {x}")
case (0, y):
print(f"X=0 and Y={y}")
case (x, 0):
print(f"Y=0 and X={x}")
case _:
print("Some other point")
2. Performance Improvements
Python 3.12 includes several performance optimizations:
- Faster method calls: Up to 20% faster
- Reduced memory usage: More efficient object handling
- Improved startup time: Faster interpreter initialization
3. New Type System Features
Type Parameter Syntax
def find_first[T](items: list[T], target: T) -> int | None:
for i, item in enumerate(items):
if item == target:
return i
return None
TypedDict Improvements
from typing import TypedDict, Required, NotRequired
class Movie(TypedDict):
title: str
year: NotRequired[int]
rating: Required[float]
# This is valid
movie: Movie = {"title": "The Matrix", "rating": 8.7}
4. New Standard Library Modules
tomllib for TOML Parsing
import tomllib
with open("config.toml", "rb") as f:
config = tomllib.load(f)
5. Error Messages
More helpful error messages make debugging easier:
# Old error:
# TypeError: unsupported operand type(s) for +: 'int' and 'str'
# New error:
# TypeError: can only concatenate str (not "int") to str
6. New String Methods
# Remove prefix/suffix (now even more efficient)
url = "https://example.com"
clean_url = url.removeprefix("https://") # "example.com"
# Case-insensitive string comparison
"Python".casefold() == "python" # True
7. Asyncio Improvements
import asyncio
async def main():
# New timeout context manager
try:
async with asyncio.timeout(10): # 10 second timeout
await long_running_task()
except TimeoutError:
print("The task took too long!")
Conclusion
Python 3.12 continues to improve the language with better performance, enhanced type hints, and more developer-friendly features. Whether youβre working on web development, data science, or automation, these new features will make your Python code more efficient and maintainable.