Why is it 'better' to use my_dict.keys() over iterating directly over the dictionary? Iteration over a dictionary is clearly documented as yielding keys. It appears you had Python 2 in mind when you answered this, because in Python 3 for key in my_dict.keys() will still have the same problem with changing the dictionary size during iteration.
Closed 2 years ago. I use python to create my project settings setup, but I need help getting the command line arguments. I tried this on the terminal:
I'm wondering if there's any difference between the code fragment from urllib import request and the fragment import urllib.request or if they are interchangeable. If they are interchangeable, wh...
In Python 3, generator is the default behavior Not sure if returning a list is still mandatory (or a generator would do as well), but passing a generator to the list constructor, will create a list out of it (and also consume it). The example below illustrates the differences on [Python.Docs]: Built-in functions - map (function, iterable ...
In Python, the use of an underscore in a function name indicates that the function is intended for internal use and should not be called directly by users. It is a convention used to indicate that the function is "private" and not part of the public API of the module.
How do I write JSON data stored in the dictionary data to a file? f = open ('data.json', 'wb') f.write (data) This gives the error: TypeError: must be string or buffer, not dict
By using python -m pip install --upgrade pip, or py -m pip install --upgrade pip instead, the problem is avoided, because now the wrapper executable does not run - Python (and possibly also py) runs, using code from the pip.py (or a cached pip.pyc) file.
