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How to parse/read a YAML file into a Python object? [duplicate]
How to parse/read a YAML file into a Python object?
3 Answers
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Cron and virtualenv
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You should be able to do this by using the python in your virtual environment:
/home/my/virtual/bin/python /home/my/project/manage.py command arg
EDIT: If your django project isn't in the PYTHONPATH, then you'll need to switch to the right directory:
cd /home/my/p...
Using python's eval() vs. ast.literal_eval()?
... of eval.
ast.literal_eval raises an exception if the input isn't a valid Python datatype, so the code won't be executed if it's not.
Use ast.literal_eval whenever you need eval. You shouldn't usually evaluate literal Python statements.
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How to check type of files without extensions in python?
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There are Python libraries that can recognize files based on their content (usually a header / magic number) and that don't rely on the file name or extension.
If you're addressing many different file types, you can use python-magic. ...
What is __main__.py?
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Often, a Python program is run by naming a .py file on the command line:
$ python my_program.py
You can also create a directory or zipfile full of code, and include a __main__.py. Then you can simply name the directory or zipfile ...
Automatically import modules when entering the python or ipython interpreter
... myself typing import numpy as np almost every single time I fire up the python interpreter. How do I set up the python or ipython interpreter so that numpy is automatically imported?
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What does Python's eval() do?
In the book that I am reading on Python, it keeps using the code eval(input('blah'))
10 Answers
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How to beautify JSON in Python?
Can someone suggest how I can beautify JSON in Python or through the command line?
13 Answers
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Random Gaussian Variables
...nce I'd like to get a list of weight in a typical population with gaussian PDF, I'm setting mu to, say, 75 [in kg] and sigma to 10. Do I need to set a new instance of GaussianRandom for generating every random weight ?
– mk7
Mar 31 '16 at 16:02
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Is False == 0 and True == 1 an implementation detail or is it guaranteed by the language?
Is it guaranteed that False == 0 and True == 1 , in Python (assuming that they are not reassigned by the user)? For instance, is it in any way guaranteed that the following code will always produce the same results, whatever the version of Python (both existing and, likely, future ones)?
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