HackerNoon

I Tested Anatomy AI With a Local LLM: Here's What Worked and What Failed

Anatomy gained over 6,600 GitHub stars in days. I tested its installation, geometry engine, and AI workflow on a CPU-only ...
KDnuggets

Building AI Applications with OGX, the Open-Source Agentic API Server

OGX is plainly described as: an open-source agentic API server for building AI applications, OpenAI-compatible, any model, any infrastructure. It is the rebrand of Meta's Llama Stack, with the name ...
Nature

In the AI era, coding means thinking like a systems architect

Now, anyone can prompt an AI model to construct complex computational pipelines that would otherwise require days or weeks of ...
cloud

Modernizing Unstructured Data Workflows: Alteryx Live Query meets Google Cloud BigQuery

Build code-free pipelines with Live Query + BigQuery. Use Gemini securely within your data platform to process and analyze unstructured data.

How I built the writing app I needed in 2 hours for free – with Ollama and VS Code

I'm not a developer, but I was able to use locally-installed AI to create a writing app suited to my needs. Here's how.
note

If you get 'No module named 'psycopg'' in SQLAlchemy 2.1, add +psycopg2 to the URL—3 ways to fix it, and 9 SQL statements that will fail in psycopg 3 (measured in Docker)

Change the URL to postgresql+psycopg2:// or pin SQLAlchemy to before 2.1 to get it into a working state first (Chapter 2). If moving to psycopg 3, find the 9 syntax patterns from Chapter 3 in your ...
HackerNoon

Clean Architecture in Python: Building Maintainable APIs Without the Overkill

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and lightweight infrastructure layers.
note

[Introduction] Connecting User and Post with a one-to-many relationship using Flask-SQLAlchemy's back_populates — A blog API with Flask-Login

Everything is contained in a single file (app.py). I will present the entire code first and then examine it section by section in the following chapters. from flask import Flask, request, jsonify from ...
blog.csdn

SQLAlchemy批量插入性能优化：标量子查询与显式参数绑定实践

在数据库写入场景中，批量插入是提升性能的关键技术，尤其在高并发Web服务与数据同步任务中至关重要。然而，传统ORM逐条插入方式因隐式查询和参数管理开销，常成为性能瓶颈。SQLAlchemy作为Python生态中最主流的ORM，提供了多种批量写入路径，但默认行为在关联外键或复杂业务场景下仍存在局限 ...
blog.csdn

dlt SQLAlchemy 目标：一个目的地接入所有 SQL 方言数据库

SQLAlchemy 目标接受可选的 engine_kwargs 参数， 原样透传给 sqlalchemy.create_engine。 同时保留 engine_args 作为向后兼容的别名，但后者已被标记为弃用（ configuration.py 中 _resolve_engine_kwargs () 会在同时提供两者时报错，仅在单独提供 engine_args 时发出 ...