When writing Python, you will inevitably encounter "list comprehensions." Even if you think you know them, they are a syntax that gets deeper the more advanced you become. # 内包表記 nums = [i * 2 for i ...

This question is to test your ability to use list comprehensions in Python. You’ll need to understand how to apply conditions and transformations within a list comprehension. It is an easy question.

Comprehensions are a concise syntax for creating data structures such as lists, dictionaries, and sets. Using comprehensions allows you to write loops and conditions ...

In Python 2.6, dict and set comprehensions were not supported. Since Python 2.7 they are, so code can be re-written more cleanly like: >>> dict((a,b) for a,b in ((1,2),)) {1: 2} >>> {a:b for a,b in ...

There's a set comprehension in line_functions.py. After fixing that, the codebase is syntactically valid for Python 2.6 through Python 3.4. There's a fix locally for this in Traits: see ...