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.
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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
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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.
https://www.pythonmorsels.com/avoid-indexes-in-python/
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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.
https://huggingface.co/blog/python-tiny-agents
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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/
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This week's newsletter will be out tomorrow. Interesting stuff by Racey Chan, Vitalii Honchar, Amanda Adoyi, @itamarst & Edward Li covered
https://newsletter.piptrends.com/p/rag-pyrefly-vs-ty-nested-loops-and
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Last month, two new Rust-based Python type checkers, pyrefly and ty were released. Both of them are in the alpha stage. While they share some similarities, they differ significantly in design and features. In this article, Edward Li dove deep into both tools, highlighted their differences and what makes each one unique.
https://blog.edward-li.com/tech/comparing-pyrefly-vs-ty/
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Nested loops are often discouraged, but they make perfect sense in scenarios like handling multidimensional data or generating patterns. In this @realpython article, Amanda Adoyi explained what nested loops are, shared practical examples, highlighted common pitfalls and offered tips on how to optimise them.
https://realpython.com/nested-loops-python/
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In this article, Vitalii Honchar explained how to build AI-powered apps that can chat with uploaded PDF files. He showed how to implement Retrieval Augmented Generation (RAG) using FastAPI for the API and LangChain to interact with OpenAI.
https://vitaliihonchar.com/insights/python-rag-api
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Tomorrow newsletter will be out. Interesting stuff by @realpython Arjan Egges @llamaindex Vaibhav Mehra, Altamash Ansari covered
https://newsletter.piptrends.com/p/namespaces-anti-patterns-llamadev
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