🔥 Trending Repository: localstack

📝 Description: 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

🔗 Repository URL: https://github.com/localstack/localstack

🌐 Website: https://localstack.cloud

📖 Readme: https://github.com/localstack/localstack#readme

📊 Statistics:
🌟 Stars: 61.1K stars
👀 Watchers: 514
🍴 Forks: 4.3K forks

💻 Programming Languages: Python - Shell - Makefile - ANTLR - JavaScript - Java

🏷️ Related Topics:

#python #testing #aws #cloud #continuous_integration #developer_tools #localstack

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: TrendRadar

📝 Description: 🎯 告别信息过载，AI 助你看懂新闻资讯热点，简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台（抖音、知乎、B站、华尔街见闻、财联社等），智能筛选+自动推送+AI对话分析（用自然语言深度挖掘新闻：趋势追踪、情感分析、相似检索等13种工具）。支持企业微信/飞书/钉钉/Telegram/邮件/ntfy推送，30秒网页部署，1分钟手机通知，无需编程。支持Docker部署⭐ 让算法为你服务，用AI理解热点

🔗 Repository URL: https://github.com/sansan0/TrendRadar

🌐 Website: https://github.com/sansan0

📖 Readme: https://github.com/sansan0/TrendRadar#readme

📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 21
🍴 Forks: 4.5K forks

💻 Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile

🏷️ Related Topics:

#python #docker #mail #news #telegram_bot #mcp #data_analysis #trending_topics #wechat_robot #dingtalk_robot #ntfy #hot_news #feishu_robot #mcp_server

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: LEANN

📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

🔗 Repository URL: https://github.com/yichuan-w/LEANN

📖 Readme: https://github.com/yichuan-w/LEANN#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 34
🍴 Forks: 403 forks

💻 Programming Languages: Python

🏷️ Related Topics:

#python #privacy #ai #offline_first #localstorage #vectors #faiss #rag #vector_search #vector_database #llm #langchain #llama_index #retrieval_augmented_generation #ollama #gpt_oss

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: PythonRobotics

📝 Description: Python sample codes and textbook for robotics algorithms.

🔗 Repository URL: https://github.com/AtsushiSakai/PythonRobotics

🌐 Website: https://atsushisakai.github.io/PythonRobotics/

📖 Readme: https://github.com/AtsushiSakai/PythonRobotics#readme

📊 Statistics:
🌟 Stars: 26.3K stars
👀 Watchers: 509
🍴 Forks: 7K forks

💻 Programming Languages: Python

🏷️ Related Topics:

#python #algorithm #control #robot #localization #robotics #mapping #animation #path_planning #slam #autonomous_driving #autonomous_vehicles #ekf #hacktoberfest #cvxpy #autonomous_navigation

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🧠 By: https://t.iss.one/DataScienceM

• Error Handling: Always wrap dispatch logic in try-except blocks to gracefully handle network issues, authentication failures, or incorrect receiver addresses.
• Security: Never hardcode credentials directly in scripts. Use environment variables (os.environ.get()) or a secure configuration management system. Ensure starttls() is called for encrypted communication.
• Rate Limits: SMTP servers impose limits on the number of messages one can send per hour or day. Implement pauses (time.sleep()) between dispatches to respect these limits and avoid being flagged as a spammer.
• Opt-Outs: For promotional dispatches, ensure compliance with regulations (like GDPR, CAN-SPAM) by including clear unsubscribe options.

Concluding Thoughts

Automating electronic message dispatch empowers users to scale their communication efforts with remarkable efficiency. By leveraging Python's native capabilities, anyone can construct a powerful, flexible system for broadcasting anything from routine updates to extensive promotional campaigns. The journey into programmatic dispatch unveils a world of streamlined operations and enhanced communicative reach.

#python #automation #email #smtplib #emailautomation #programming #scripting #communication #developer #efficiency

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By: @DataScienceN ✨

🔥 Trending Repository: Memori

📝 Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems

🔗 Repository URL: https://github.com/GibsonAI/Memori

🌐 Website: https://memorilabs.ai

📖 Readme: https://github.com/GibsonAI/Memori#readme

📊 Statistics:
🌟 Stars: 2.3K stars
👀 Watchers: 18
🍴 Forks: 216 forks

💻 Programming Languages: Python - PLpgSQL

🏷️ Related Topics:

#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent

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🧠 By: https://t.iss.one/DataScienceM