Data Science Tutorials

Learn how to set up and use MongoDB's Vector Search for building smart apps. This practical guide covers vector indexing, query best practices, and real-world examples.

Learn how to set up Git aliases to save time, reduce typing, and speed up your development process. Perfect for beginners who want to boost productivity without extra tools.

Learn how data masking protects sensitive information while maintaining data realism for development, testing, and analytics. Discover techniques, best practices, and more.

Learn how to use the Perplexity Search API to build a Chrome extension that verifies factual claims in real time. Includes Node.js backend setup and API integration guide.

Learn how ChatGPT Apps work, explore real examples like Spotify and Zillow integrations, and discover how developers can build their own using the ChatGPT Apps SDK.

Use Docling to convert messy PDFs into structured, searchable data. Integrate LangGraph for retrieval-augmented reasoning and Streamlit for an interactive front end. Build, test, and deploy a local Document Intelligence App that feels like your own private ChatGPT for documents.

Learn how to refresh your PivotTables manually, with keyboard shortcuts, or automatically in both Excel and Google Sheets.

Understand the core principles of Zero Trust Architecture and how it reshapes enterprise cybersecurity. Learn how to implement ZTA to secure users, applications, and infrastructure in today’s cloud-first, hybrid world.

Load balancing keeps modern apps fast, available, and scalable by distributing work across servers. This article breaks down how it works, why it matters, and what trade-offs come with it.

Learn how to use Git hooks to automate tasks, enforce code standards, and secure your workflow with pre-commit, pre-push, and server-side hooks.

Learn how to use Gemini 2.5 Computer Use to build an AI-powered job search agent. This hands-on tutorial walks you through browser automation with Playwright and Streamlit, no APIs required.

Learn how to use OpenAI AgentKit to automate GitHub issue reviews with AI agents that classify, detect duplicates, and summarize reports.