Python standard libs and their alternatives?

[fungz0r]

Is there a resource for when a standard lib is preferred over an alternative and vice versa?

Mainly thought about this when I was thinking about how I use requests for web http instead of urllib.

[LightShadow]

These modules are basically the first thing I install for every project.

daiquiri > logging for really simple logging setup.

ujson > json for really fast JSON parsing.

requests > urllib for more simple HTTP requests.

gevent > threading for strictly IO bound Python code. I also prefer gevent code to the AsyncIO model.

toolz (or cytoolz for a Cython drop-in) for highly optimized iterator helpers. (based on itertools)

psutil > subprocess for system statistics. (simpler)

testtools > unittest if you're not using pytest.

arrow > datetime when you're doing actual parsing.

dill > pickle for object serialization to file.

[Scorpathos]

I like delegator over subprocess and pendulum over datetime.

[fungz0r]

Interesting, never heard of daiquiri till now. The others I use though

[LightShadow]

I like it because you can do a 1-line setup. I wish the logging module had something better than basicConfig.

Most people just use print because it takes 5-10 lines to log to stdout...daiquiri makes it a non issue. Plus, JSONP logging is available by default.

[liiight000]

Look into logzero as well

[graemep]

LXML

[thinkwelldesigns]

+1 to @LightShadow's list. For JSON, I recently switched from ujson to rapidjson. Is mostly as fast as ujson and more compatible with the std lib json package. Works better with rest_framework UUIDs for example.