JustQCoding @JustQCoding

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freeCodeCamp now has daily coding challenges for you to try! Here's today's: the Pangram challenge. See if you can solve it on the mobile app.

Object-oriented programming is a popular way to write code in Python. And to help you learn the basics, @TiagoMo53450790 wrote this practical guide. He explains OOP concepts like objects, classes, the self parameter, and __init__ with lots of code. freecodecamp.org/news/object-or…

Database Design (SQL & NoSQL) • What is Database Design? Database design is the process of structuring data in a way that supports efficient storage, retrieval, and management. It involves choosing the right database type (SQL or NoSQL), defining relationships, and ensuring…

Metadata in a Data Warehouse Types of Metadata: • Technical Metadata – table names, column types, constraints, lineage • Business Metadata – definitions, KPIs, business rules, glossary • Operational Metadata – data load time, job status, data quality logs

Python vs. Excel Functions 🔹 What They Are Best At Excel Functions → Quick math, pivot tables, business reports. Python Functions → Automation, big data, machine learning. 🔹 Strengths Excel ✅ Easy to learn ✅ Great for small data & visualization ❌ Weak for automation &…

In my opinion, one of the best ways to ensure data reliability and scalability is to design solutions using layered architecture. 🚀 Building Bronze → Silver → Gold pipelines isn’t about complexity, it’s about giving your company a data foundation that lasts.

🔥 Temp Tables in SQL — Your Secret Weapon for Complex Queries ✅ Takeaway: Temp tables = cleaner logic + easier debugging. They may not be needed for every query, but in production and interviews, they show you can think modularly. #sql #cte #tipsandtricks

Data analysis is a popular and growing field in the tech world. And this 19-hour course takes you on an in-depth journey, whether you're a beginner or more advanced in your skills. You'll learn about Python, Excel, SQL, Tableau and Power BI & much more. freecodecamp.org/news/learn-dat…

Types of operators in Python

Tutorial time: Build a Conversational Analytics Agent using BigQuery’s first-party tools! Here's how the new first-party tools for BigQuery can be used to build a conversational analytics agent in ADK that can answer natural language questions → goo.gle/4ma4XnD

Want to boost your productivity? Of course, we have a course for you. Through conceptual explanations, a practical use case, and hands-on labs, you'll learn about Gemini in BigQuery's features to assist data-to-AI workflow → goo.gle/4mxBqEi

GPT-5 is here—and it’s changing the game for developers! We've rolled out full support for OpenAI’s GPT-5 across its developer ecosystem the day it launched. Whether you're building with GitHub Copilot, experimenting (cont) msft.it/l/6017sneq1

BREAKING: Google just turned Gemini into a full-blown AI school system. Teachers can now assign AI experts to students. Students can auto-generate quizzes and visual explainers. And it's all free in Google Workspace for Education. Here’s what just dropped 👇

Documentation deep dive: Backend authenticated TLS and backend mTLS → goo.gle/3JsAVwW The following diagram shows the difference between frontend and backend mTLS, focusing on the role of the load balancer in each case.

📌 Business Intelligence Planning (How to Build a Solid Data & BI Infrastructure) Most Data & BI projects don’t fail because of tools, dashboards, or even data quality. They fail because they never had a real plan to begin with. #BusinessIntelligence #Strategy

We just launched VS Code Insiders Podcast - the official podcast from the @code team! Join us as we sit down with the developers, product managers, and community contributors shaping the open source AI code editor. First episode on GPT-5 out now! vscodepodcast.com

If you intend to progress beyond an agent prototype, you need qualitative evaluations that assess the quality of the agent's decisions, its reasoning process, and the final result. Here's how evaluation works with the ADK ↓ google.github.io/adk-docs/?utm_…

“Clean” data still bites. I keep this Databricks PySpark cleaning cheat sheet handy to help me remember the syntax for quickly fixing nulls, duplicates, incorrect data types, and outliers. If a “clean” dataset ever blew up your pipeline at the last mile, this one’s for you.

Project management just got a whole lot easier! 🎉 The newly enhanced Jira for Google Chat app can help you stay on top of projects by tracking progress, getting real-time updates and taking action on issues, all without leaving your chats. 👉 goo.gle/4ox1XmW