A beginner's guide to embeddings and vector search
What embeddings really are, why they matter for RAG, and how to build a simple semantic search in Python.
AI / ML
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What embeddings really are, why they matter for RAG, and how to build a simple semantic search in Python.
A practical exploratory data-analysis routine you can run on any tabular dataset before modeling.
Window functions, CTEs, conditional aggregates and more — with copy-paste examples.
A no-fluff walkthrough covering build, environment variables, MySQL and a basic CI pipeline.
A focused tour of EC2, S3, RDS, IAM and CloudWatch — the foundation of 80% of real cloud work.
What recruiters actually look for in a fresher resume — formatting, keywords, project framing.
A decision framework for picking between retrieval-augmented generation and fine-tuning.
A practical comparison of state-management options — and when each one earns its complexity.
A simple framework that makes your project sound senior — even when you're a fresher.
Free downloadable references built for quick recall during projects, exams and interviews.
Joins, window functions and CTEs.
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