Python command line oneliners
There is list of pretty useful python small command line oneliners available out of the box. That means if you already have installed python on your system (most Linux, *BSD, including OSX) then you can use it even if you are not python developer.
I love most way to create fake SMTP server:
$ python -m smtpd -n -c DebuggingServer localhost:25
If you develop using something else, but need to send emails and want to debug or just need something you can add to your Makefile this lines:
mail:
python -m smtpd -n -c DebuggingServer localhost:20025
And run make mail, voila you have running SMTP daemon on 20025 port. Easy!
Make JSON beautiful? Next oneliner:
$ echo '{"foo": "lorem", "bar": "ipsum"}' | python -mjson.tool
You can only wish more if you like to see it in color. Hope you noticed pipe support.
Full set of available HTTP services.
$ python -m SimpleHTTPServer
$ python -m CGIHTTPServer
Wanna use different port?
$ python -m SimpleHTTPServer 8080
$ python -m CGIHTTPServer 9080
It serve all files from local folder and below.
XMLRPC is not very popular this days, but you still able to debug remote servers:
$ python -c 'import xmlrpclib; print xmlrpclib.Server("http://host:8080").methodName(param,param2)'
Real life example? Search on PyPI:
$ python -c 'import xmlrpclib; print xmlrpclib.Server("http://pypi.python.org/pypi").package_releases("Flask")'
['0.9']
$ python -c 'import xmlrpclib; print xmlrpclib.Server("http://pypi.python.org/pypi").search({"name":"hopak"})'
[{'_pypi_ordering': 12, 'version': '0.1.0', 'name': 'Flask-Hopak', 'summary': 'Admin interface for Flask that uses Hopak models'}, {'_pypi_ordering': 12, 'version': '0.4.2', 'name': 'hopak', 'summary': 'hopak framework base package'}]
More python specific timeit module, it allows to measure speed of small code snippets:
$ python -m timeit '"-".join(str(n) for n in range(100))'
10000 loops, best of 3: 33.2 usec per loop
$ python -m timeit '"-".join([str(n) for n in range(100)])'
10000 loops, best of 3: 28.2 usec per loop
Even is possible to make a little setup using -s parameter:
$ python -m timeit -s "import json" "json.dumps({'a':'a'})"
100000 loops, best of 3: 5.98 usec per loop
More
Probably listed here is more common for me. But if you like to discover more, then simple scan standard python library for if __name__ == '__main__' substring and check results:
$ grep -r "if __name__ == '__main__'" /path/to/python/libaray/
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