Libraries

This section covers the libraries you will actually use day to day — not full API references, but focused guides on the features that matter most, with real examples and clear explanations.

Each guide is written for both beginners picking up a library for the first time and developers who need a quick, reliable reference.

Python Libraries

Pandas

Data manipulation and analysis. DataFrames, filtering, grouping, and cleaning data.

NumPy

Numerical computing and arrays. Math operations, broadcasting, and array manipulation.

Matplotlib

Data visualization. Line charts, bar charts, scatter plots, and figure customization.

Requests

HTTP requests made simple. GET, POST, headers, authentication, and error handling.

FastAPI

Modern Python web framework. Routes, validation, dependency injection, and async support.

JavaScript / React Libraries

React

Component model, hooks, state, effects, and React 19 features including Actions and use().

TanStack Query

Data fetching and caching. useQuery, useMutation, background refetching, and devtools.

Zustand

Lightweight global state management. Stores, actions, middleware, and persistence.

Zod

Schema validation and type inference. Parsing, transforming, and composing schemas.

Axios

HTTP requests for the browser and Node.js. Interceptors, instances, and error handling.