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Get a filtered list of files in a directory
...
Keep it simple:
import os
relevant_path = "[path to folder]"
included_extensions = ['jpg','jpeg', 'bmp', 'png', 'gif']
file_names = [fn for fn in os.listdir(relevant_path)
if any(fn.endswith(ext) for ext in included_extensions)]
I prefer this ...
How to read a (static) file from inside a Python package?
...he other answers]
import os, mypackage
template = os.path.join(mypackage.__path__[0], 'templates', 'temp_file')
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Serializing class instance to JSON
...N for your class.
A simple solution would be to call json.dumps() on the .__dict__ member of that instance. That is a standard Python dict and if your class is simple it will be JSON serializable.
class Foo(object):
def __init__(self):
self.x = 1
self.y = 2
foo = Foo()
s = js...
How to dynamically load a Python class
Given a string of a Python class, e.g. my_package.my_module.MyClass , what is the best possible way to load it?
10 Answers...
How to make a class JSON serializable
...f)
'{"fname": "/foo/bar"}'
In that case you can merely call json.dumps(f.__dict__).
If you want more customized output then you will have to subclass JSONEncoder and implement your own custom serialization.
For a trivial example, see below.
>>> from json import JSONEncoder
>>&g...
What does Python's eval() do?
... command string and then have python run it as code. So for example: eval("__import__('os').remove('file')").
– BYS2
Feb 21 '12 at 19:24
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Are nested try/except blocks in python a good programming practice?
...EAFP.
Personally, I prefer to avoid nesting when it's not necessary:
def __getattribute__(self, item):
try:
return object.__getattribute__(item)
except AttributeError:
pass # fallback to dict
try:
return self.dict[item]
except KeyError:
raise Attrib...
How to get a reference to current module's attributes in Python
...he way I typically see this done is like this:
import sys
dir(sys.modules[__name__])
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Python constructors and __init__
...ame but different arguments.
In your code example, you're not overloading __init__(). What happens is that the second definition rebinds the name __init__ to the new method, rendering the first method inaccessible.
As to your general question about constructors, Wikipedia is a good starting point....
What does “hashable” mean in Python?
...if it has a hash value which never changes during its lifetime (it needs a __hash__() method), and can be compared to other objects (it needs an __eq__() or __cmp__() method). Hashable objects which compare equal must have the same hash value.
Hashability makes an object usable as a dictionary ...