Cheat Sheets All levels¶
One-page, printable references for the things you look up every day — and revise the night before an interview. Each sheet is a PDF designed to fit on a single A4 page.
What's inside¶
Python for GenAI
Syntax, comprehensions, f-strings, async, typing and the standard-library calls you use most.
Python
LangChain & LangGraph
Chains, retrievers, tools, memory, state graphs and the patterns that replace boilerplate.
Frameworks
RAG pipeline checklist
Parsing, chunk sizes, retrieval options, re-ranking, evaluation metrics and common failure fixes.
RAG
Prompt engineering patterns
Zero/few-shot, chain-of-thought, structured output, tool use, guardrail phrasing — with templates.
Prompts
LLM API quick reference
Messages, temperature, max tokens, streaming, tool calling and errors across OpenAI-compatible APIs.
APIs
SQL for AI engineers
Joins, window functions, CTEs, aggregation and the queries behind NL-to-SQL and analytics.
SQL
Docker & Git
Dockerfiles for Python apps, compose, everyday Git commands and how to undo mistakes.
DevOps
DSA patterns & Big-O
Which pattern fits which problem, complexity of common operations, and Python templates.
Interviews
System-design numbers
Latency numbers, back-of-the-envelope maths, storage and throughput estimates, the interview framework.
Interviews
Every cheat sheet is¶
- One printable page (A4 PDF), plus a web version
- Copy-paste code snippets, not just bullet points
- Updated when the libraries change — free updates included
Get notified when the cheat sheets launch — early-bird price for the waitlist.