Pinpointing differences between two tables is very important for tasks like validating data migrations or spotting corruption. But when those tables live in different databases, it becomes tricky due to issues like network costs and different SQL dialects. In this article, Erez Shinnan shared how Reladiff tackles these challenges and its development journey.
New Open-Source Tool Spotlight
Transform any URL into an LLM-ready input with `Reader`. Just prefix the URL with `https://r.jina.ai/` for clean, readable content extraction. Perfect for enhancing agents & RAG pipelines. #LLM #NLP
Need web search results for your LLM? Prepend queries with `https://s.jina.ai/` to fetch top results—content included. E.g., `https://s.jina.ai/your+query` brings knowledge directly to your model. #AItools #DataEngineering
Reader API now supports images! Captions are auto-generated for images missing alt tags, giving LLMs better context for reasoning and summarizing multimedia pages. #MachineLearning #AI
Project link on #GitHub
https://github.com/jina-ai/reader
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Gwyneth Peña-Siguenza created a 5-part video series on building scalable Python APIs with FastAPI and Azure Cosmos DB. She covered key concepts like Pydantic models, FastAPI's dependency injection, async calls using azure.cosmos.aio, batch operations and centralised exception handling.
Tomorrow newsletter will be out. Interesting stuff by @marcogorelli Fredrik Sjöstrand @huggingface Ian Eyre(@realpython) @treyhunner covered
https://newsletter.piptrends.com/p/tiny-agents-text-editor-in-7-minutes
While indexes are useful, relying on them too much can be like Maslow's hammer. @treyhunner has shown some fantastic alternative methods for common tasks without constantly needing to use indexes.
The @huggingface team has created tiny-agents, a new feature that lets their huggingface_hub software act as a Model Context Protocol (MCP) Client. In their recent article, they explained how to set up these tiny agents to give new abilities to your LLMs to interact with the world and perform complex tasks.
If anyone knows Data Engineers looking for work, this is our next hire: https://www.linkedin.com/posts/dealingwith_dataengineering-hiring-startuplife-activity-7338312558455476224-jvGh
https://billee.applytojob.com/apply/iTXqZOqOUu/Senior-Data-Engineer
Pandas used to be the go-to tool for working with data. But now, there are many other excellent options available, like Polars and PySpark. If different teams in your company use different data tools, Narwhals can help. @marcogorelli showed this with a helpful example in his article.
https://codecut.ai/unified-dataframe-functions-pandas-polars-pyspark/
Top 5 Real-World Applications of Data Science
From Netflix recommendations to AI-driven healthcare — data science is everywhere.
Personalized content
Fraud detection in banking
Self-driving cars
Medical diagnosis
Stock market predictions
Explore how data is shaping the future of tech. More insights at
https://browsejobs.in