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🔥 Trending Repository: 30-Days-Of-Python

📝 Description: 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too:https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

🔗 Repository URL: https://github.com/Asabeneh/30-Days-Of-Python

📖 Readme: https://github.com/Asabeneh/30-Days-Of-Python#readme

📊 Statistics:
🌟 Stars: 49.9K stars
👀 Watchers: 879
🍴 Forks: 9.5K forks

💻 Programming Languages: Python - CSS - HTML

🏷️ Related Topics:
#github #python #heroku #flask #mongodb #numpy #pandas #python3 #matplotlib #30_days_of_python


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: superset

📝 Description: Apache Superset is a Data Visualization and Data Exploration Platform

🔗 Repository URL: https://github.com/apache/superset

🌐 Website: https://superset.apache.org/

📖 Readme: https://github.com/apache/superset#readme

📊 Statistics:
🌟 Stars: 69.7K stars
👀 Watchers: 1.5k
🍴 Forks: 16.4K forks

💻 Programming Languages: TypeScript - Python - Jupyter Notebook - JavaScript - HTML - Shell

🏷️ Related Topics:
#react #python #flask #data_science #bi #analytics #superset #apache #data_visualization #data_engineering #business_intelligence #data_viz #data_analytics #data_analysis #sql_editor #asf #business_analytics #apache_superset


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: UltraRAG

📝 Description: UltraRAG v3: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

🔗 Repository URL: https://github.com/OpenBMB/UltraRAG

🌐 Website: https://ultrarag.openbmb.cn/

📖 Readme: https://github.com/OpenBMB/UltraRAG#readme

📊 Statistics:
🌟 Stars: 2.7K stars
👀 Watchers: 27
🍴 Forks: 231 forks

💻 Programming Languages: Python - JavaScript - CSS - HTML - Jinja - Shell - Dockerfile

🏷️ Related Topics:
#flask #demo #ui #mcp #openai #easy #gpt #embedding #vlm #multimodal #rag #sentence_transformers #huggingface_transformers #llm #vllm #qwen #deepseek


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🧠 By: https://t.me/DataScienceM