software/python
Python
iPython tricks
Use the cpaste command to copy in blocks of raw python
code, even if the indenting is a little weird.
Style
Python PEP-008: Style Guide for Python Code
pylint, a Python
syntax checker. Very verbose, use pylint -E (errors only) or at least
pylint -r no (no report). Eg,
pylint -r no file.py -d W0614 -d C -d R.
For docstring documentation, refer to PEP-257 and the Sphinx documentation; specifically, document script functionality in a top level (above imports, below any hashbang) docstring.
Use leading #: style comments to document important
non-object/non-function element definitions (eg, static variables) in a
way that will get pulled out into Sphinx. Use "Google-style" function
argument/return documentation instead of "Sphinx style". For
example:
def public_fn_with_googley_docstring(name, state=None):
"""This function does something.
Args:
name (str): The name to use.
Kwargs:
state (bool): Current state to be in.
Returns:
int. The return code::
0 -- Success!
1 -- No good.
2 -- Try again.
Raises:
AttributeError, KeyError
A really great idea. A way you might use me is
>>> print public_fn_with_googley_docstring(name='foo', state=None)
0
BTW, this always returns 0. **NEVER** use with :class:`MyPublicClass`.
"""
return 0
autopep8 is a tool to automatically pep8-ify a file. Use it like:
sudo pip install autopep8
autopep8 --in-place --select=W293,W191,W291 *.py
pep8radius is sort of similar, but only applies to code that you are going to commit (using VCS info).
Packaging
Flask app packaging advice, including MANIFEST.in and
non-PyPi dependancy advice: http://flask.pocoo.org/docs/patterns/distribute/
Use console_scripts in setup.py to install
system-wide scripts: http://packages.python.org/distribute/setuptools.html#automatic-script-creation
For debian packaging, use stdeb (via stackoverflow thread).
For notes on pip vs. setup.py dependencies: https://caremad.io/blog/setup-vs-requirement/
"Fucking" String Encoding
(str/unicode errors in python are very prevalent and give me the rage)
The codecs package has some helpers; see for example
open(f,mode,encoding).
ASCII
'ord' is the function that takes a single ASCII character and returns the value number (as an int).
RunSnakeRun
Runsnake seems to be unmaintained... snakeviz is the new thing?
Example session:
$ python -m cProfile -o ./dump.profile myscript.py --script-option blah
$ # run to completion or Ctrl-C, then
$ runsnakerun ./dump.profile
# or
$ snakeviz ./dump.profile
nosetests
NOTE: by default I now use pytest instead of nose
To do minimal tests without wrapping everything in a class, import assert functions from nose.tools, eg:
from nose.tools import assert_raises, assert_equal
To do interactive pdb debugging, simply:
$ nosetests --pdb
# or sometimes:
$ nosetests --pdb-failures
pdb
To debug a script (interactive prompt on exception):
python -m pdb myscript.py
or in-line, always at a particular point:
import pdb; pdb.set_trace()
Use ipdb (debian: python-ipdb) instead of pdb to get a nicer IPython prompt.
Python 3 Porting
To help port and support both Python 2.7 and 3.0+, start with an import:
from __future__ import absolute_import, division, print_function
str/bytes/unicode is indeed the major porting challenge. Using
bytearrays helps. Use b'asdf' style byte array definitions
for most low-level constants.
struct.unpack() wants doesn't allow
bytearray(); use bytes() instead.
Make sure rase Exception ("Message here") style is used
everywhere, instead of raise Exception, "Message here".
There was some change in comparison between None and integers, which
makes if args.verbose > 0 break. Use
if args.verbose and args.verbose > 1 instead.
Debian Default Python
Keep in mind that this can break some system things (eg, arandr, some cups things).
To make Python 3.4 the default for python system-wide, do something like:
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.4 2
For an individual user you can also just create a python alias. See also:
http://linuxconfig.org/how-to-change-from-default-to-alternative-python-version-on-debian-linux
Nice Packages
subprocess/pexpect: https://github.com/kennethreitz/delegator.py
time/datetime: https://github.com/crsmithdev/arrow
tsv: https://github.com/kennethreitz/tablib
simple HTML scraping: https://github.com/michaelhelmick/lassie
sqlite3dbm is a library to back a python dict with sqlite3 on disk
pytest
pytest sort of "just works" if you put test files under ./tests/. If you want crude file imports, skipping directories, and including test_* functions from any python file (not just those with test_*.py, install pytest-pythonpath and create a pytest.ini like:
[pytest] python_paths = . python_files = .py norecursedirs = .svn _build tmp
Need to mock? <https://blog.fugue.co/2016-02-11-python-mocking-101.html>
Debugging Memory Usage
Most helpful tools I found were psutil and pympler (both need to be installed).
import os, psutil process = psutil.Process(os.getpid()) print(process.memory_info().rss) # ... do some stuff ... print(process.memory_info().rss)
and
from pympler import tracker tr = tracker.SummaryTracker() tr.print_diff()
# ... do some stuff ... tr.print_diff()
Canonical Timestamp
As a terse one-liner (with datetime imported):
f"{datetime.datetime.utcnow().isoformat()[:-3]}Z"
