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Source channel @githubtrending · Post #15409 · Jan 12

#javascript#agentic_ai#agentic_engineering#agentic_framework#agentic_rag#agentic_workflow#ai_assistant#ai_tools#anthropic_claude#autonomous_agents#claude_code#codex#huggingface#jules#mcp_server#model_context_protocol#multi_agent#multi_agent_systems#npx#swarm#swarm_intelligence Claude-Flow v2.7 is an enterprise AI platform with hive-mind swarms, 25 natural language skills, 100+ tools, and AgentDB integration for 96x-164x faster semantic search and 4-32x less memory use. Install via `npx claude-flow@alpha init` after Claude Code, then use commands like `swarm "build API"` for quick tasks or hive-mind for projects. It boosts your coding speed with 84.8% problem-solving rate, automation, GitHub tools, and persistent memory—saving you hours on complex development. https://github.com/ruvnet/claude-flow

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djangoproject

@djangoproject · Post #507 · 11/26/2017, 10:08 PM

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http://devarea.com/machine-learning-with-python-introduction/#.Whs6iCehU8o #Machine_Learning With Python – Introduction #Numpy is package for multi dimension arrays – very effective implementation #Scipy – package for scientific programming , mathematics , signal processing and more #Pandas – package for data handling #Matplotlib – package for data visualization (graphs) #Seaborn – extend Matplotlib with statistical graphs #Scikits – many extensions to spicy for specific fields like x-ray, image processing , deep learning and many more

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#machine_learning #numpy #scipy #pandas #matplotlib #seaborn #scikits