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  • Odoo Experience 2024
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  • Projevy
  • Opening Keynote - Unveiling Odoo 18
    Fabien Pinckaers
    Hotovo
  • Hosting your Odoo Server on the Public Internet: Do's & Don'ts
    Nicolas Martinelli
    Hotovo
  • Manage your Logistics Operations with RPC
    Pawel Fertyk
    Hotovo
  • Unveiling Most Common Security Issues
    Denis Ledoux & Florian Vranckx
    Hotovo
  • Our Best Tips to Optimize the Performance of your Module
    Pouya Malekinejad
    Hotovo
  • Why Use a Database other than PostgreSQL?
    Nicolas Seinlet
    Hotovo
  • Overview of Most Useful Mixins
    Michael Vannerom
    Hotovo
  • How to Integrate Odoo through JSON-RPC Services?
    Emanuele Maruzzi
    Hotovo
  • Learn the JS Framework
    Géry Debongnie
    Hotovo
  • User Friendly URLs: a Technical Overview
    Jorge Pinna Puissant
    Hotovo
Načítání videa...
What's New in the Python Framework?
Developer
Poloha: Hall 11.C - 04.10.24 11:00 - 04.10.24 11:30 (Europe/Brussels) (30 minut)
What's New in the Python Framework?
Raphael Collet
Framework Developer v Odoo
Raphael Collet
Framework Developer v Odoo

Raphael joined Odoo in 2011, when it was still called "OpenERP".  He quickly moved to the "Framework" team, where he designed and implemented the "new API" of Python models.  When the team grew, he became the team's leader, mostly because of the lack of other candidates.  He kept contributing many optimizations and bug fixes in the framework.  He regularly gives talks to Odoo Experience, and happily chats with every developer coming with nasty questions or bright ideas. And he also writes down his own Odoo biography, when asked to do so.


We present the various changes made to Odoo's Python framewok for version 18.  Some changes aim at making the developer's life easier, like using "list" for list views, making invisible fields optional in views, detecting group restriction inconsistencies in views, and adding Python typing to the framework.  We also introduced performance improvements, like grouping SQL UPDATE queries, enabling to order by, group by and aggregate non-stored related fields, and improving database workload by using read-only mirrors.

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