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/

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

Нагрузочное 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/

Šimon 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

#EuroPython #EuroPython2025 #Pydantic #FastAPI

CC @europython @FastAPI @pydantic

If 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

Loading #pydantic models from #JSON without running out of memory — by @itamarst

TIL #python slots usage

https://pythonspeed.com/articles/pydantic-json-memory/

Design 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

"Loading Pydantic models from JSON without running out of memory"

https://pythonspeed.com/articles/pydantic-json-memory/

Si 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/

從 JSON 加載 Pydantic 模型，避免記憶體不足
➤ 解決 Pydantic 解析大型 JSON 檔案的記憶體瓶頸
✤ https://pythonspeed.com/articles/pydantic-json-memory/
本文探討了使用 Pydantic 從大型 JSON 文件中載入數據時，記憶體使用量過高的問題。作者介紹了兩種降低記憶體佔用的方法：一是使用增量 JSON 解析器 ijson，二是利用 `dataclass` 搭配 `slots`，以更有效率的方式儲存物件。透過實測，作者展示了不同方法的記憶體使用量差異，並建議 Pydantic 開發者考慮在未來版本中優化記憶體管理。
+ 這篇文章很有幫助，我一直遇到 Pydantic 解析大型 JSON 的問題，現在知道可以嘗試 ijson 和 dataclass 了！
+ 作者提出的解決方案很實用，而且提供了具體的程式碼範例，方便直接應用。希望 Pydantic 未來能內建這些優化功能。
#Python效能 #Pydantic #JSON解析 #記憶體管理

Loading Pydantic models from JSON without running out of memory

https://pythonspeed.com/articles/pydantic-json-memory/

What does #pydantic have to do with #AI now!? And which version to use anyway? pydantic, pydantic2, or pydantic3? My distribution only has python3-pydantic. #Python

Did some benchmarking of how fast #Python (3.13) w/ async #httpx and #Pydantic could query a JSON API vs. #GoLang (both including unmarshalling to native types and some regex validation).

While Python could do about 2.5k requests per second against localhost when running singlecore, Go did 10k.

However, not only is Go "only" 4× as fast, these differences quickly shrink to 30 % when you introduce an actual network between the hosts, and become irrelevant with rate limiting & DDoS protection.

the biggest things i need ai to do for me is to have a high initial elo ranking but also be trainable to scan all local docs and then also bring in a lots of real time data and open datasets 24/7, display results on series of dashboards #rag #pydantic #yacy #httrack #cached version #best stacks #free for commercial use #competitive intel #tailored data

Looking for some examples of people using Pydantic in bioinformatics. First relevant result is... oh my own conference talk. How unhelpful.

Как я строю удобную инфраструктуру вокруг Python-проектов: линтеры, Poetry, CI/CD и Docker

Poetry вместо pip, Ruff вместо flake8, FastAPI вместо ручной документации. Что реально упрощает жизнь Python-разработчику сегодня — на примерах и с реальными конфигами.

https://habr.com/ru/articles/904844/

Pydantic Releases Sandboxed Python Execution Server for AI Agents via Model Context Protocol

#AI #Pydantic #PydanticAI #MCP #ModelContextProtocol #Python #LLMs #AgenticAI #OpenSource #DevTools #Pyodide #Deno #Sandboxing #AISecurity #AIIntegration

https://winbuzzer.com/2025/04/20/pydantic-releases-sandboxed-python-execution-server-for-ai-agents-via-model-context-protocol-xcxwbn/