Useful Python Utils
Python Utils is a collection of small Python functions and classes which make common patterns shorter and easier. It is by no means a complete collection but it has served me quite a bit in the past and I will keep extending it.
One of the libraries using Python Utils is Django Utils.
Documentation is available at: https://python-utils.readthedocs.org/en/latest/
Links
The source: https://github.com/WoLpH/python-utils
Project page: https://pypi.python.org/pypi/python-utils
Reporting bugs: https://github.com/WoLpH/python-utils/issues
Documentation: https://python-utils.readthedocs.io/en/latest/
My blog: https://wol.ph/
Requirements for installing:
six any recent version
Installation:
The package can be installed through pip (this is the recommended method):
pip install python-utils
Or if pip is not available, easy_install should work as well:
easy_install python-utils
Or download the latest release from Pypi (https://pypi.python.org/pypi/python-utils) or Github.
Note that the releases on Pypi are signed with my GPG key (https://pgp.mit.edu/pks/lookup?op=vindex&search=0xE81444E9CE1F695D) and can be checked using GPG:
gpg –verify python-utils-<version>.tar.gz.asc python-utils-<version>.tar.gz
Quickstart
This module makes it easy to execute common tasks in Python scripts such as converting text to numbers and making sure a string is in unicode or bytes format.
Examples
To extract a number from nearly every string:
from python_utils import converters
number = converters.to_int('spam15eggs')
assert number == 15
number = converters.to_int('spam')
assert number == 0
number = converters.to_int('spam', default=1)
assert number == 1
number = converters.to_float('spam1.234')To do a global import programmatically you can use the import_global function. This effectively emulates a from … import *
from python_utils.import_ import import_global
# The following is the equivalent of `from some_module import *`
import_global('some_module')Or add a correclty named logger to your classes which can be easily accessed:
class MyClass(Logged):
def __init__(self):
Logged.__init__(self)
my_class = MyClass()
# Accessing the logging method:
my_class.error('error')
# With formatting:
my_class.error('The logger supports %(formatting)s',
formatting='named parameters')
# Or to access the actual log function (overwriting the log formatting can
# be done n the log method)
import logging
my_class.log(logging.ERROR, 'log')2 maintainers
Release files for python-utils 2.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| python-utils-2.5.3.tar.gz | 49.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| python_utils-2.5.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 61.9 kB
Release files / python-utils-2.5.3.tar.gz
| Download URL | python-utils-2.5.3.tar.gz |
|---|---|
| Size | 49.1 kB |
| Tags | Source |
|
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No |
| Uploaded via |
Python-urllib/3.8
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Release files / python_utils-2.5.3-py2.py3-none-any.whl
| Download URL | python_utils-2.5.3-py2.py3-none-any.whl |
|---|---|
| Size | 12.8 kB |
| Tags | Python 2 Python 3 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.8
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