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* Jamu Kakar: [[https://storm.canonical.com/|Storm]] * Henry: I'd like to know more about the internals of ORMs. How do they build their queries? How do they determine which join is needed? How do they maintain consistency among objects? * Jamu: I think a talk about how to use Storm with a focus on some common patterns to common problems would be more widely interesting, but I can also talk about internals. I haven't actually prepared a talk yet, but I'd expect it to be in the 30-45 minute range (I'm not a fan of very long talks). * Henry Precheur: [[http://wsgi.org/wsgi/|WSGI (Web Server Gateway Interface)]]: WSGI powers all modern Python web frameworks. It provides a unified way to talk HTTP. (Talk can be 30 mins to 1h30 long.) |
* Henry Precheur: * [[http://wsgi.org/wsgi/|WSGI (Web Server Gateway Interface)]]: WSGI powers all modern Python web frameworks. It provides a unified way to talk HTTP. (Talk can be 30 mins to 1h30 long.) * [[http://www.sqlalchemy.org/|SQLAchemy]]: The SQLAlchemy SQL Toolkit and Object Relational Mapper is a comprehensive set of tools for working with databases and Python. |
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* Doug Latornell: * I've been looking at [[http://couchdb.apache.org/|CouchDB]] for a potential project at work. I haven't delved too deeply yet, but if the project gets the go-ahead, I should be able to talk about CouchDB in, say, January, or February. This one would likely be about 30 minutes too, but it depends how much I know when I do it, and how many questions people have. |
VanPyZ futures talks
- Henry Precheur:
WSGI (Web Server Gateway Interface): WSGI powers all modern Python web frameworks. It provides a unified way to talk HTTP. (Talk can be 30 mins to 1h30 long.)
SQLAchemy: The SQLAlchemy SQL Toolkit and Object Relational Mapper is a comprehensive set of tools for working with databases and Python.
Dethe Elza ReportLab
- Doug Latornell:
I've been looking at CouchDB for a potential project at work. I haven't delved too deeply yet, but if the project gets the go-ahead, I should be able to talk about CouchDB in, say, January, or February. This one would likely be about 30 minutes too, but it depends how much I know when I do it, and how many questions people have.