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How I can I lazily read multiple JSON values from a file/stream in Python?
I'd like to read multiple JSON objects from a file/stream in Python, one at a time. Unfortunately json.load() just .read() s until end-of-file; there doesn't seem to be any way to use it to read a single object or to lazily iterate over the objects.
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How does IPython's magic %paste work?
I want to copy already indented Python code / whole functions and classes into IPython. Everytime I try the indentation is screwed up and I get following error message:
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Python memory leaks [closed]
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Have a look at this article: Tracing python memory leaks
Also, note that the garbage collection module actually can have debug flags set. Look at the set_debug function. Additionally, look at this code by Gnibbler for determining the types of objects that have ...
Call a function with argument list in python
I'm trying to call a function inside another function in python, but can't find the right syntax. What I want to do is something like this:
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Find the nth occurrence of substring in a string
This seems like it should be pretty trivial, but I am new at Python and want to do it the most Pythonic way.
21 Answers
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Get unique values from a list in python [duplicate]
...f you need to maintain the set order there is also a library on PyPI: pypi.python.org/pypi/ordered-set
– Jace Browning
Sep 26 '13 at 1:12
7
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Create nice column output in python
I am trying to create a nice column list in python for use with commandline admin tools which I create.
18 Answers
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How to generate all permutations of a list?
How do you generate all the permutations of a list in Python, independently of the type of elements in that list?
33 Answer...
How do I parse a string to a float or int?
In Python, how can I parse a numeric string like "545.2222" to its corresponding float value, 545.2222 ? Or parse the string "31" to an integer, 31 ?
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Python hashable dicts
... an unneeded itermediate list -- fixable by s/items/iteritems/ -- assuming Python 2.* as you don't say;-).
– Alex Martelli
Jul 20 '09 at 4:48
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