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I would like to see some example about classical mappings and many to many relations in SQLAlchemy.
Can someone help me?
Thanks!
You can find multiple examples here: http://docs.sqlalchemy.org/en/latest/orm/examples.html
Association proxy is the most common many-to-many pattern, see example at http://docs.sqlalchemy.org/en/latest/_modules/examples/association/proxied_association.html
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Since I don't have pure knowledge of the pandas library, I just want to explore the range of functions that pandas library offers to users.
use dir(pandas)
But you'd better go to the official documentation.
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In the Django tutorial they show how to edit 2 related models on a single page here: https://docs.djangoproject.com/en/1.9/intro/tutorial07/#adding-related-objects
How can I achieve this in my app? Are there some built-in classes I can use similar to how it works in admin or would I have to create it myself?
If you have a look at the admin's source code, you'll find out it's done using formsets https://docs.djangoproject.com/en/1.9/topics/forms/formsets/
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I would like to be able to search a website (http://ned.ipac.caltech.edu/forms/nearname.html) with python and return a selection of values with the search. I want to use python and would like to know what literature to search for examples, and so I can learn how to do it.
Good places to start include the Requests module and BeautifulSoup.
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I'm looking to obtain the code for PhotoHunt python (and eventually js and android), however the page on GitHub is no longer found https://github.com/googleplus/gplus-photohunt-server-python Is there a way I can still retrieve this?
The tutorial is given here https://developers.google.com/+/photohunt/python.
Using the search option, I found one fork: https://github.com/nixtish/gplus-photohunt-server-python
You'll need to check whether its history is sane, of course.
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I would like some help finding a python module that can identify a barcode within a scanned document. If anyone can help me at least come closer to finding an example of this I would be greatly appreciative.
http://pypi.python.org/pypi/zbar