Ranjith R
@XRanjithR
Google’s Preferred Sources Tool Is Jammed With Spam. via @martinibuster: hubs.li/Q03S86z60 #seonews #Google #SEO
Google to remove more search features including practice problems, nutrition facts, nearby offers and more via @rustybrick searchengineland.com/google-to-remo…
8 RAG architectures for AI engineers:
🏆📚This 200-Page LLM Paper Is a 𝗚𝗼𝗹𝗱𝗺𝗶𝗻𝗲 — and it’ll save you months 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴, 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 — finally crystal clear. If you don’t have time to read all 200+ pages, here are the most valuable 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 ↓ 》…
Most-used Python Commands for Data Cleaning.
Data Cleaning Techniques you should know
2 Frameworks to Build MCP AI Agents amzn.to/46cWAlQ MCP (Model Context Protocol) enables AI agents to interact with tools, memory, and APIs via structured formats. Here are some frameworks that help developers build such agents are as follows: 1 - Open AI SDK:…
He predicted: • AI vision breakthrough (1989) • Neural network comeback (2006) • Self-supervised learning revolution (2016) Now Yann LeCun's 5 new predictions just convinced Zuckerberg to redirect Meta's entire $20B AI budget. Here's what you should know (& how to prepare):
Top 10 Database Scaling Techniques
Data Science techniques you should know
Best Practices in API Design APIs are the backbone of communication over the Internet. Well-designed APIs behave consistently, are predictable, and grow without friction. Some best practices to keep in mind are as follows: 1 - Use Clear Naming: When building an API, choose…
This is literally how to clean data in SQL:
𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲 𝘃𝘀 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝘃𝘀 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝘃𝘀 𝗗𝗮𝘁𝗮 𝗠𝗲𝘀𝗵 In the evolving world of data management, understanding the key differences between these architectures is critical Here’s a brief overview of each: ☑ Data Lake -…
📊 Pandas vs SQL: A Quick Cheat Sheet!🐼🆚🗃️ Master the art of data manipulation with this side-by-side comparison of common operations in Pandas and SQL! Whether you’re switching between Python and databases or just starting out—this guide has you covered! 💡 Perfect for: ✅…
Life is short so i use Python
Excel and SQL Functions for Data Analysts:
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