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Context Data Platform for Self-learning Agents One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates. github.com/memodb-io/Acon…


Stop Hardcoding Everything: Use Dependency Injection The video explains Dependency Injection (DI) in Python with a practical data pipeline example, showing how DI improves code flexibility, testability, and separation of concerns by injecting dependencies like loaders,…

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Stop Hardcoding Everything: Use Dependency Injection


Can Google's ADK Replace LangChain and MCP? Christina Lin (Google) demos Agent Development Kit (ADK), open-source Python framework for agentic pipelines: assemble LLMs + tools (via MCP servers/function calling) + prompts for complex workflows like version control or Friday night…

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Can Google's ADK Replace LangChain and MCP? (with Christina Lin)


Django 6.0 released Django 6.0 introduces major new features: built-in support for template partials (for cleaner, reusable templates), a native background-task framework, a built-in Content Security Policy (CSP) system, and a more modern, Unicode-friendly email API. This…


Modernising Django Packages Without Breaking Everything To successfully modernize a mature Django package without breaking user code, the maintainer should phase in new tools to consolidate configuration into a single pyproject.toml file. Key strategies involve streamlining the…


Can LLMs give us AGI if they are bad at arithmetic? Wes McKinney's post questions whether large language models (LLMs) can achieve artificial general intelligence (AGI) given their persistent struggles with basic arithmetic tasks like adding single-digit numbers, even in top…


How prompt caching works - Paged Attention and Automatic Prefix Caching plus practical tips Prompt caching in large language models (LLMs) is an optimization technique that stores and reuses intermediate computational states (key-value caches) of repeated prompt prefixes,…


Is the 79-character limit still in actual (with modern displays)? reddit.com/r/Python/comme…


anthropics / claude-quickstarts A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API github.com/anthropics/cla…


A first look at Django's new background tasks Django 6.0 introduces django.tasks, a lightweight framework for defining and enqueuing background tasks via a standard API, but lacks built-in workers—requiring external infrastructure like custom database-backed backends. The…


Improve Query Performance Using Python Django QuerySets The post shows how efficient Django QuerySet usage can significantly improve database performance, reduce latency, and create faster applications. It explains that writing better queries leads to more stable, scalable, and…


Become an AI Researcher Course – LLM, Math, PyTorch, Neural Networks, Transformers This comprehensive course on becoming an AI Researcher starts with the foundational mathematics (vectors, derivatives, gradients, matrices) and PyTorch fundamentals necessary for understanding…

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Become an AI Researcher Course – LLM, Math, PyTorch, Neural Networks,...


Keras HyperParameters Tuning This is an example i provided on the Keras ecosystem. keras.io/examples/struc…


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