Master LLM temperature, top-k, and top-p with interactive Python simulations. Runnable code, exercises, and a sampling playground to build real intuition.
Build a working BPE tokenizer in Python, learn how text becomes tokens, and use tiktoken to count tokens and estimate LLM API costs across...
Learn to call OpenAI, Claude, and Gemini APIs from Python in 15 minutes. Includes code examples, error handling, streaming, and a unified wrapper.
101 interactive pandas exercises with solutions. Edit and run every code block directly in your browser — no installation needed.
Build a LangGraph agent that reads PDFs, images, and text, cross-checks facts across sources, and writes a clean JSON report — with full code...
Learn to build a LangGraph customer support agent that classifies queries, searches a knowledge base, escalates to humans, and logs every step.
Learn to build a LangGraph pipeline that scrapes websites on its own, pulls structured data, handles pagination and errors, and writes analytical reports.
Build a multi-agent research pipeline in LangGraph with planner, researcher, writer, and reviewer agents that turn any topic into a polished report.
Build a full-stack AI app from scratch with FastAPI and LangGraph — streaming responses, saved chats, API key auth, and a live chat frontend...
Build LangGraph agents that return validated, typed data using Pydantic models — with automatic retry loops that self-correct on validation failures.
Step-by-step guide to building a LangGraph agent that writes Python code, runs it safely, checks the output, and self-corrects until it works.
Master LangGraph debugging with LangSmith tracing — follow step-by-step examples to inspect agent runs, tag traces, and monitor production performance.
Deploy LangGraph agents as scalable APIs with LangGraph Server — step-by-step guide covering SDK setup, streaming, background runs, and cloud hosting.
Step-by-step guide to building a LangGraph SQL agent that turns plain English into SQL, runs queries, retries on errors, and explains results clearly.
Build a RAG agent in LangGraph that routes questions, grades documents, detects hallucinations, and rewrites queries when results are poor. Full code included.
Build LangGraph agents with lasting memory using sliding windows, summaries, and cross-session stores to manage tokens and recall user context.
Learn how to run LangGraph branches in parallel using the Send API and map-reduce pattern to process multiple items at once and merge results...
Learn to pause LangGraph agents for human review, accept edits, and resume safely with working interrupt and Command patterns.
Add real-time streaming to your LangGraph agents — pick the right stream mode, show tokens as they arrive, and build chat UIs that feel...
Master LangGraph cycles and recursion limits — stop runaway agents, handle GraphRecursionError, and build clean exit strategies for your loops.
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