Hey,
Thanks for that Jason, looks like your tutorial is really shaping up.
I updated the talk description in django database. It will become
visible on the website sometime in the next 24 hours.
Regards all,
Jonathan
On 23/06/10 20:25, jason kirtland wrote:
Hi folks,
I have updated description for the SQLAlchemy tutorial I'd like to get
posted if possible.
I saw a message go by mentioning talk admin access for updates- if
volunteers are needed to keep descriptions up to date, I would be
happy to assist with that. (And update my own sessions in the
process.)
All the best,
Jason
---------
Is SQLAlchemy a framework or a toolkit? As a batteries-included
library for database interaction and object relational mapping,
SQLAlchemy provides a cohesive set of features that work out of the
box. While convenient and powerful as-is, SQLAlchemy is not intended
as a "one size fits all" technology. Tailoring is a core feature of
SQLAlchemy, from allowing DBA-provided SQL to be used in favor of
generated SQL to completely bespoke object relational mapping.
This tutorial delves into customizing and tailoring SQLAlchemy to meet
your needs, be they targeting a specific database and production
environment, or authoring cross-platform software that adapts
elegantly to different RDBMS servers. The focus will not be on
mapping your RDBMS to SQLAlchemy- the documentation and mailing list
are fantastic resources for that- instead, the focus is on mapping
your code to SQLAlchemy and composing the toolkit into novel solutions
for your requirements.
Customizing and building on a third party library can feel risky,
especially when that library has not released a "1.0" milestone. In
this session, we will review which parts of SQLAlchemy are core
features and behaviors and which are swappable extensions or
opinionated features that can be changed. You will leave the session
knowing how to safely extend and reuse SQLAlchemy features in a
future-proof fashion.
Building on that understanding of the core features, we will go on to
explore the hooks and customization points at all levels of the
package, from connection& pooling, to SQL DML and DDL generation,
through object relational mapping.
This is a hands-on session with working, interactive examples to
explore, so please bring a laptop loaded with Python 2.x. All other
requirements will be provided on site.
Some prior experience with SQLAlchemy is highly suggested. Advanced
SQL experience is not required.
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