Data Science Tutorials

Learn how linear programming transforms complex decision-making into solvable mathematical problems. Discover optimization techniques, solution algorithms, and practical Python implementations for resource allocation, scheduling, and planning challenges.

Master Microsoft Word’s AI assistant, from setup to drafting, editing, summarizing, formatting, and prompt strategies.

Learn how to build an AI-powered image search app using BridgeTower, Streamlit, and Hugging Face Transformers. A step-by-step tutorial on multimodal AI.

Learn step-by-step how to activate Copilot in Excel, use AI prompts to analyze, visualize, and automate your data, and apply ready-made examples to real-world spreadsheet tasks.

Learn when and how to use Python's reduce(). Includes practical examples and best practices.

Discover how to build and deploy a FastAPI-powered RAG system with LangChain. Learn about async processing, efficient API calls, and document retrieval techniques.

Discover ChatGPT Atlas, the new AI-powered browser. Try 9 hands-on automations for search, research, shopping, and more, all inside ChatGPT.

Learn how to use Veo 3.1's latest features to create longer, consistent videos by extending existing videos and creating videos based on specific starting frames.

Build a document Q&A tool while discovering how LangFuse simplifies debugging, tracks costs, and organizes prompts in complex LLM applications.

Learn how to bring your video ideas to life using the Sora 2 API with this complete guide on how to use Python to interact with the OpenAI API.

Learn how to create and publish a gym workout app using Bolt.new with adaptive workout plans.

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.