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Rename multiple files in a directory in Python [duplicate]

I'm trying to rename some files in a directory using Python. 15 Answers 15 ...
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TypeError: 'dict_keys' object does not support indexing

...sing in d.keys() to your shuffle function. Probably this was written with python2.x (when d.keys() returned a list). With python3.x, d.keys() returns a dict_keys object which behaves a lot more like a set than a list. As such, it can't be indexed. The solution is to pass list(d.keys()) (or simpl...
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What does “mro()” do?

...e at class initialization, and the result is stored in __mro__ -- see docs.python.org/library/… . – Alex Martelli Jan 6 '10 at 4:24 23 ...
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Can you define aliases for imported modules in Python?

In Python, is it possible to define an alias for an imported module? 5 Answers 5 ...
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Convert list to tuple in Python

... To add another alternative to tuple(l), as of Python >= 3.5 you can do: t = *l, # or t = (*l,) short, a bit faster but probably suffers from readability. This essentially unpacks the list l inside a tuple literal which is created due to the presence of the sin...
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reStructuredText tool support

...s Although the reference implementation of reStructuredText is written in Python, there are reStructuredText parsers in other languages too. Python - Docutils The main distribution of reStructuredText is the Python Docutils package. It contains several conversion tools: rst2html - from reStruct...
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Python “SyntaxError: Non-ASCII character '\xe2' in file”

I am writing some python code and I am receiving the error message as in the title, from searching this has to do with the character set. ...
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Pretty-Print JSON Data to a File using Python

... = json.loads(output) print json.dumps(mydata, indent=4) See http://docs.python.org/library/json.html for more info. share | improve this answer | follow | ...
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How to determine whether a substring is in a different string

... gosh, python is too strong, I was think it needs a function to do it, but it is a build-in one O-o – windsound Oct 13 '12 at 18:05 ...
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How does python numpy.where() work?

...ome overhead. I've seen noticeable speed differences when working with the Python Pandas data structures and logically indexing very large columns. In those cases, if you don't need slicing, then take and where are actually better. – ely Oct 10 '12 at 17:54 ...