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Hugging Face Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference for Hugging Face — pipelines, tokenizers, inference, text generation, the datasets library, fine-tuning with Trainer, and the Hub, all with working code examples.
PyTorch Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference for PyTorch — tensors, autograd, building models with nn.Module, the training loop, evaluation, and saving/loading, all with working code examples.
ReferentialSheet: Developer Cheatsheets for AWS, Docker, Kubernetes
ReferentialSheet is a searchable home for the commands you always forget, plus 54 free cheatsheets spanning AWS, Docker, Kubernetes, and more. Try it free.
LangChain Cheatsheet: The Complete Reference
Every LangChain primitive — chains, prompts, memory, retrievers, agents, tools, and LCEL — with copy-paste examples in one scannable reference.
LangGraph Cheatsheet: The Complete Reference
Every LangGraph primitive — StateGraph, nodes, edges, conditional routing, memory, human-in-the-loop, and multi-agent patterns — with copy-paste examples in one scannable reference.
Terraform Cheatsheet: The Complete Reference
Every Terraform primitive — providers, resources, variables, outputs, modules, state, workspaces, and CLI commands — with copy-paste examples in one scannable reference.
NumPy Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference for NumPy — array creation, indexing, broadcasting, linear algebra, and performance tips, all with working code examples.
Pandas Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference for Pandas — DataFrames, filtering, groupby, merging, reshaping, and performance tips, all with working code examples.
Python Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference covering every Python essential with working code examples — from basic types to decorators, generators, and the standard library.
Scikit-learn Cheatsheet: Everything You Need in One Place
A dense, no-fluff reference for Scikit-learn — the estimator API, pipelines, classification, regression, clustering, evaluation, and tuning, all with working code examples.