Machine Learning
38.9K subscribers
3.72K photos
31 videos
40 files
1.29K links
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho
Download Telegram
๐Ÿ”ฅ Trending Repository: WrenAI

๐Ÿ“ Description: โšก๏ธ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds.

๐Ÿ”— Repository URL: https://github.com/Canner/WrenAI

๐ŸŒ Website: https://getwren.ai/oss

๐Ÿ“– Readme: https://github.com/Canner/WrenAI#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 10.1K stars
๐Ÿ‘€ Watchers: 70
๐Ÿด Forks: 1K forks

๐Ÿ’ป Programming Languages: TypeScript - Python - Go - JavaScript - Less - Dockerfile

๐Ÿท๏ธ Related Topics:
#agent #bigquery #charts #sql #postgresql #bedrock #business_intelligence #openai #spreadsheets #vertex #genbi #text_to_sql #rag #text2sql #duckdb #llm #anthropic #sqlai #text_to_chart


==================================
๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ“Œ Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-11-21 | โฑ๏ธ Read time: 7 min read

Struggling with slow data workflows as your datasets grow? This hands-on tutorial demonstrates how to leverage the power of modern DataFrame tools, Polars and DuckDB, to significantly boost performance in Python. Learn practical techniques to handle larger data volumes efficiently and keep your entire workflow from slowing down.

#Python #Polars #DuckDB #DataEngineering
โค2