Lazy Method for Reading Big File in Python?
I have a very big file 4GB and when I try to read it my computer hangs.
So I want to read it piece by piece and after processing each piece store the processed piece into another file and read next piece.
generator
Generator expressions vs. list comprehensions
When should you use generator expressions and when should you use list comprehensions in Python?
Understanding generators in Python
I am reading the Python cookbook at the moment and am currently looking at generators. I’m finding it hard to get my head round.
What’s the purpose of “send” function on Python generators?
Can someone give me an example of why the “send” function associated with Python generator function exists? I fully understand the yield function. However, the send function is confusing to me. The documentation on this method is convoluted:
What can you use generator functions for?
I’m starting to learn Python and I’ve come across generator functions, those that have a yield statement in them. I want to know what types of problems that these functions are really good at solving.
How to take the first N items from a generator or list?
You can’t slice a generator directly in Python. itertools.islice() will wrap an object in a new slicing generator using the syntax itertools.islice(generator, start, stop, step)
Return in generator together with yield in Python 3.3
In Python 2 there was an error when return was together with yield in function definition. But for this code in Python 3.3
How do I know if a generator is empty from the start?
Is there a simple way of testing if the generator has no items, like peek, hasNext, isEmpty, something along those lines?
Reading from a frequently updated file
I’m currently writing a program in python on a Linux system. The objective is to read a log file and execute a bash command upon finding a particular string. The log file is being constantly written to by another program.
How to print a generator expression?
In the Python shell, if I enter a list comprehension such as: