Quick reference guides for frameworks, tools, and packages —
junior-friendly explanations to get you started fast.
Modern Python web framework for building APIs. Auto-generates docs, async support, type validation out of the box.
Docs ↗Build apps with LLMs — chains, agents, memory, RAG pipelines. Python & JS support.
Docs ↗The hub for models, datasets, and demos. Transformers library, Diffusers, Gradio.
Hub ↗Open source ML framework. Tensors, autograd, neural networks. Preferred for research.
Docs ↗End-to-end ML platform. Keras integration, TensorBoard, TensorFlow Serving for production.
Docs ↗Classic CV library. Image processing, feature detection, camera calibration. C++ with Python bindings.
Docs ↗Google's ready-made CV solutions. Face detection, hand tracking, pose estimation.
Docs ↗Data manipulation & analysis. DataFrames, CSV/Excel handling, missing values.
Docs ↗Numerical computing. N-dimensional arrays, linear algebra, random numbers. Foundation of scientific Python.
Docs ↗Classical ML algorithms. Regression, classification, clustering, preprocessing. Beginner-friendly.
Docs ↗Gradient boosting library. Fast, scalable, sparse-aware. Kaggle favorite.
Docs ↗Containerize apps. Reproducible environments, easy deployment, Kubernetes ready.
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