Python 3 – List comprehensions by examples

In the post Using lists with Python 3 I explained something about lists in Python, however, since Python is very slow in FOR-LOOPS, to generate lists Python supports a concept named "list comprehensions". "list comprehensions" can be used to construct lists in a very natural and easy way, like a mathematician is used to do. For example:NEWLIST_LOOP = [] for counter in range(10): NEWLIST_LOOP.append(counter)The above piece of code generates this list: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], using list comprehensions the same list can be generated with the following line of code:NEWLIST_COMP = [x for x in range(10)]one line of code versus 3 lines of code…. List comprehensions advantages: Compact notation: From the example above we have already seen the first advantage, we could write less code. And, as any SW developer knows "less code means less bugs" Speed: Another effect on using LC is to have better performances, for example imagine you have a square matrix (10000×10000) and you want to flatten this matrix.

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