ErikMy blog post about separating Pydantic from the domain layer blew up today. Almost 2k visitors in just one day!! Who would’ve ever dreamed that?
#pydantic #fastapi #python #python3 #pythonprogramming #webdevelopment #softwareengineering
With the rising popularity of FastAPI and Pydantic, it's becoming increasingly important to protect a clean domain, free from third-party tools. I wrote an article to help you with that.
https://coderik.nl/posts/keep-pydantic-out-of-your-domain-layer/
#fastapi #pydantic #softwaredevelopment #python #cleancode #architecturepatterns #pythonprogramming
GripNews🌘 保持 Pydantic 遠離你的網域層
➤ 將 Pydantic 限制在應用程式的邊緣
✤ https://coderik.nl/posts/keep-pydantic-out-of-your-domain-layer/
這篇文章探討了在軟體開發中，避免將 Pydantic 引入過多的層次，特別是網域層的問題。作者分享了自身經驗，說明瞭雖然 Pydantic 在資料驗證方面非常方便，但過度依賴可能導致耦合性增加，影響系統的可維護性和可測試性。文章介紹了使用 Dacite 等工具，將 Pydantic 模型轉換為純粹的 Python 物件，以實現更好的分層和關注點分離。
+ 這篇文章點出了我一直以來遇到的問題，Pydantic 真的很好用，但濫用會導致程式碼變得難以維護。
+ Dacite 聽起來很有用，我會嘗試看看它是否能解決我目前的架構問題。
#軟體架構 #Pydantic #乾淨架構
➤ 將 Pydantic 限制在應用程式的邊緣
✤ https://coderik.nl/posts/keep-pydantic-out-of-your-domain-layer/
這篇文章探討了在軟體開發中，避免將 Pydantic 引入過多的層次，特別是網域層的問題。作者分享了自身經驗，說明瞭雖然 Pydantic 在資料驗證方面非常方便，但過度依賴可能導致耦合性增加，影響系統的可維護性和可測試性。文章介紹了使用 Dacite 等工具，將 Pydantic 模型轉換為純粹的 Python 物件，以實現更好的分層和關注點分離。
+ 這篇文章點出了我一直以來遇到的問題，Pydantic 真的很好用，但濫用會導致程式碼變得難以維護。
+ Dacite 聽起來很有用，我會嘗試看看它是否能解決我目前的架構問題。
#軟體架構 #Pydantic #乾淨架構
HabrНагрузочное тестирование на Python и Locust с запуском на CI/CD
Разбираемся, как организовать нагрузочное тестирование на Python с Locust — с сидинговыми сценариями , кастомными API-клиентами на HTTPX, конфигурацией через Pydantic и автоматическим запуском в GitHub Actions . Всё — на практике, с архитектурой, фреймворком и публикацией отчётов в GitHub Pages.
https://habr.com/ru/articles/929136/
#нагрузка #нагрузочное_тестирование #нагрузочные_тесты #python #locust #тестирование_производительности #cicd #github_actions #httpx #pydantic
Paolo MelchiorreŠimon Podhajský presents the talk "Pydantic, Everywhere, All at Once" to a packed room at the EuroPython 2025 conference.
https://ep2025.europython.eu/session/pydantic-everywhere-all-at-once
BorutzkiIf you ever ask why it’s worth updating #Python dependencies from time to time, #Pydantic serves as a nice example with the performance boost introduced. I actually could see it, given the complexity of models I deal with on a daily basis.
> Recent memory usage optimizations are most relevant for projects with lots of models, particularly those with nested/reused models. In these cases, you can expect a 2-5x reduction in memory usage.
#DailyPythonista
https://pydantic.dev/articles/pydantic-v2-11-release
Julien Maupetit
Hacker NewsDesign Pressure: The Invisible Hand That Shapes Your Code
https://hynek.me/talks/design-pressure/
#ycombinator #Python #OOP #object_oriented_code #software_design #design_pressure #ORM #Pydantic
https://hynek.me/talks/design-pressure/
#ycombinator #Python #OOP #object_oriented_code #software_design #design_pressure #ORM #Pydantic
Gonçalo Valério"Loading Pydantic models from JSON without running out of memory"
Python RennesSi vous utilisez #Pydantic, et que vous êtes confronté·es à des problèmes d'allocation mémoire lors de chargement de #JSON volumineux, voici une exemple de comment contourner le problème, en utilisant la bibliothèque #Python ijson.
https://pythonspeed.com/articles/pydantic-json-memory/
https://pythonspeed.com/articles/pydantic-json-memory/