FastAPI with SQLAlchemy: A Beginner's Guide to Database Integration

Those who are amazed by LLMs ability to code should ask it to generate SPARQL queries to query DBPedia. You can try the results in DBPedia SPARQL editor. Yes, there may be million times more Python codes than SPARQL queries available for LLMs to learn from, one must wonder: if these models are genuinely intelligent, shouldn't they have mastered SPARQL by now?

Perhaps you've seen that uvx command in your MCP server configs and wondered what it does. It's shorthand for uv tool run. uv is a single Rust binary that replaces your entire Python toolchain — pyenv, virtualenv, pip-tools, Poetry, all of it. uvx runs any package in its own throwaway environment, which is exactly why MCP configs use it. Since I switched, versioning issues are gone and my Python setup is simpler than it's ever been. Here's the full story: 👉 https://lnkd.in/epFEYRBC

git push -u origin main I just finished building a new python scraper. I wanted a fast way to gather news data for my projects. I built a tool that pulls Google News results directly into a CSV file using Python and SerpAPI. It collects the titles, links, and dates for any topic user search for. I used a .env file to keep my API keys safe and private. This makes it much easier to build datasets for my data science work. The full code and setup instructions are now live on my GitHub. Check it out.

I kept hearing about FastAPI everywhere in the Python ecosystem, so I decided to explore it and document what I learned. I wrote a short blog covering: • What is FastAPI? • How it compares with Django REST Framework • Core components like Starlette and Pydantic • Dependency Injection in FastAPI • Building a simple CRUD API step-by-step If you're a Python developer curious about FastAPI, this might be a helpful starting point. Blog post: https://lnkd.in/gr86BXDK Feedback is welcome 🙂

 🚀 microvec is a lightweight micro-vector database in pure Python. If you're building RAG pipelines, semantic search, or anything with embeddings and don't want to spin up a full vector DB service, this is for you.  What it does:  - Store vectors alongside document text and metadata  - Search by cosine, euclidean, or dot product similarity  - Filter results with any Python predicate before scoring  - Batch insert, update, and delete nodes  - Persist to disk safely (no pickle — JSON + numpy format)  What's new in v0.1.0:  - Complete rewrite from prototype to production-ready library  - Search results now return the actual document text, not just an index  - Full input validation with descriptive errors  - 107 tests, 98.5% coverage, mypy strict, ruff clean  Install: pip install microvec  No servers. No config. Just embeddings.  GitHub: https://lnkd.in/dnxWycy9

𝗧𝗵𝗶𝘀 𝗜𝘀 𝗔 𝗚𝗿𝗲𝗮𝗍 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 You want to learn about web data APIs using Python. You can start with web scraping scripts. You can use Python to build web data APIs. This is a practical guide. - Learn the basics of web scraping - Build your own web data API - Use Python to make it work Source: https://lnkd.in/gFFYUVPg Optional learning community: https://t.me/GyaanSetuAi

being a Senior Developer is only about 1/3 Python knowledge. The other 60% is the ecosystem. It’s the tooling. It’s all of the tech around Python that makes you stand out from the rest. https://lnkd.in/dcf54mVY

🚀 Excited to share a small milestone! Last week I open-sourced a Python tool I’ve been working on: AsyncAPI Payload Validator. It helps validate message payloads against AsyncAPI specifications, making it easier to ensure that event-driven systems publish and consume messages that match their contracts. 🔧 Built for teams working with event-driven architectures who want stronger schema validation and better reliability in their messaging systems. In just one week, the package has already reached 900+ downloads, which is incredibly encouraging! 🙌 Open source is all about sharing, learning, and improving together — and I’m excited to see how others might use or contribute to it. If you're working with AsyncAPI, event-driven systems, or message validation in Python, feel free to check it out: https://lnkd.in/eUQKr3RU Feedback and contributions are very welcome! #opensource #python #asyncapi #eventdriven #softwareengineering

Just built a Python File Manager Project using CRUD operations 🐍 What it can do: • Create files • Read file content • Update (rename / overwrite / append) • Delete files • List all files and directories automatically Built using Python, pathlib, and os. Small project, but a big step in mastering file handling and automation in Python. Github link--> https://lnkd.in/gwT-Yg_6 Learning by building is the best way to grow as a developer. Next step: Turning this into a Mini File Management Tool. #Python #Programming #100DaysOfCode #PythonDeveloper #CodingJourney #SoftwareDevelopment #BuildInPublic #Developers #TechCommunity #LearningToCode #PythonProjects #Automation #GitHub #OpenSource #ProgrammerLife

𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗻 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝗍𝘀 Python is used in software development due to its simplicity and ecosystem. You can build applications quickly and efficiently with Python. You use Python in several areas: - Automation: automate tasks like file processing and web scraping - Data Analysis: process datasets with libraries like Pandas and NumPy - Web Development: build APIs and backend systems with frameworks like Flask and Django - Machine Learning: use tools like TensorFlow and Scikit-learn You can learn more about Python in real projects and see examples. Source: https://lnkd.in/g95CYbP3 Optional learning community: https://lnkd.in/gxizaR-b