111–120 of 137 posts
This is a tangent, but the most annoying change in the latest Python versions is you can no longer write print "foo". Now it has to be print("foo"). Damn kids ruining my language.
It was a glaring inconsistency.
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So I have been considering this. does conda track pypi or does it lag it? I have been concerned about moving over my requirements.text for a webapp with lots of dependencies
We have to use a mix of pypi and conda since quite a few of our dependencies are not in conda. We have a script which checks conda first, then falls back to pypi, all from one requirements.txt
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For those of us more dictionary oriented, there is https://pypi.python.org/pypi/voluptuous (which is OK for the most part, as long as you are only trying to do validation, and nothing too crazy)
Similar, I've used this library with a lot of success: https://marshmallow.readthedocs.org/en/latest/
I am using Scrapy a lot. http://scrapy.org/ It is very well designed web crawling library.
The Python module I learned to love this year is Click. Gets me better command line interfaces fast. URL is http://click.pocoo.org . It does progress bars too...
I like Click because it does very simple things very well. It gets hairy when you want to build more complex CLIs. For example, value options and validators don't play nicely because Click doesn't distinguish between the absence of a value and an invalid value, so you wind up dropping Click features and rewriting your own plumbing for that kind of stuff. The alternative is writing a more verbose CLI grammar, which leads to a really clunky UI.
Hands down, my favorite new library is schema: https://pypi.python.org/pypi/schema Here's a schema I use in production, see how readable it makes the parameters of the API and how quick all the validation and normalization is: https://www.pastery.net/mhwwnv/ At the end, you get an object called data, and you can do data.title, data.language, etc, and be sure that everything is as you expect.
For those of us more dictionary oriented, there is https://pypi.python.org/pypi/voluptuous (which is OK for the most part, as long as you are only trying to do validation, and nothing too crazy)
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I love it on Windows but I wonder why you use it on Linux. What does it do better than the alternative (native packages and pip)?
One word - isolation. One issue with using your system's packaging system is that a lot of system utilities are written in Python which makes it harder to play around with new versions, bleeding edge libs, etc.
tqdm looks super promising. progressbar and progressbar2 end up being complicated and weird enough to use that my company ended up making wrappers. Why maintain that when you can just use a library that works out of the box. It would be great if it had ipython notebook support. I often end up doing long operations that scrape services for data but have no idea what their progress is. For me 2015 has been the year of…
A lot of these "magic" tools fall apart when you're trying to do something slightly more structured than "throwaway bunch o' functions".
Hands down, my favorite new library is schema: https://pypi.python.org/pypi/schema Here's a schema I use in production, see how readable it makes the parameters of the API and how quick all the validation and normalization is: https://www.pastery.net/mhwwnv/ At the end, you get an object called data, and you can do data.title, data.language, etc, and be sure that everything is as you expect.
Thank you so much for providing this example. I couldn't grok what schema did, and your code made it make sense.
If people want to provide examples for the other libraries in this thread, you'll be popular :)
I feel I'm able to write much more concise test scripts than I could with unittest.