Python 2.6: What's New, Release History & Support Lifecycle

What Is New in Python 2.6

Python 2.6 was released on October 1, 2008, as a transition release designed to ease migration to Python 3. It backported many Python 3.0 features while maintaining backward compatibility with Python 2.5 code. Key additions include the multiprocessing module, the str.format() method, the with statement available without a future import, class decorators, and improved I/O.

How Did Python 2.6 Bridge the Gap to Python 3?

multiprocessing -- True Parallelism (PEP 371)

The multiprocessing module provided process-based parallelism -- bypassing the GIL entirely by spawning separate Python processes that share data via pipes, queues, and shared memory. This was the first practical solution to CPU-bound parallelism in CPython.

from multiprocessing import Pool

def compute(n):
    return sum(range(n))

with Pool(processes=4) as pool:
    results = pool.map(compute, [10**6, 10**6, 10**6, 10**6])
print(results)

str.format() -- Modern String Formatting (PEP 3101)

str.format() replaced the % operator as the recommended way to format strings. It supports positional and keyword arguments, format specs, and nested field names.

"Hello, {name}!".format(name="Alice")
"{0:.2f} {1}".format(3.14159, "pi")
"{data[key]}".format(data={"key": "value"})

Abstract Base Classes (PEP 3119)

The abc module allows defining interfaces that enforce method implementations. Subclasses that don't implement abstract methods raise TypeError at instantiation time.

from abc import ABC, abstractmethod

class Shape(ABC):
    @abstractmethod
    def area(self):
        pass

class Circle(Shape):
    def __init__(self, r): self.r = r
    def area(self): return 3.14159 * self.r ** 2

json Module in stdlib

The json module (based on simplejson) landed in the stdlib, eliminating a near-universal external dependency for web and API code.

import json
data = json.loads('{"key": "value", "num": 42}')
print(json.dumps(data, indent=2))