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Build reusable custom hooks in React to share logic between components. Learn extraction patterns, naming conventions, and best practices for stateful logic reuse.

Make HTTP requests in Python using HTTPX - a modern HTTP client with sync/async APIs, HTTP/2 support, and requests-compatible interface. Install, configure, and use HTTPX for API calls, web scraping, and HTTP operations.

Use Ruff to lint and format Python code with extreme speed and comprehensive rule coverage

Install and use aiohttp, the async HTTP client/server framework for Python. Learn to make async requests, build web servers, and handle WebSockets with asyncio.

Write and run powerful Python tests with pytest - the testing framework that makes it easy to write small tests that scale to complex functional testing

Generate Python data validation code using Pydantic type hints. Create type-safe models, validators, serializers, and schemas with automatic parsing and validation.

Expert guidance for Django web development, from setup to deployment, following Django's best practices and documentation.

A lightweight ASGI framework/toolkit for building async web services in Python with WebSocket support, background tasks, and comprehensive middleware.

Master Vue 3 Composition API reactivity patterns including ref, reactive, computed properties, and deep reactivity for building modern Vue applications.

Master React's three-phase rendering process (trigger, render, commit) by analyzing components and understanding when and why React updates the DOM.

Generate comprehensive documentation for Next.js Server Components, explaining rendering strategies, when to use Server vs Client Components, data passing patterns, and best practices for the App Router.

Expert guidance on implementing and working with React Server Components, including async patterns, client-server composition, and data fetching strategies.

Manage complex React state by combining useReducer with Context API to avoid prop drilling and centralize state logic across component trees.

Track and visualize machine learning experiments with W&B. Log metrics, hyperparameters, and model artifacts for ML training runs.

Comprehensive reference guide for all built-in React hooks including state management, effects, context, refs, and performance optimization hooks with usage examples.

Format Python code with Black, the uncompromising code formatter. Automatically applies PEP 8 compliant opinionated formatting for consistent, readable code.

Add optional static typing to Python programs using mypy. Catch programming errors through static analysis without running code. Supports type inference, gradual typing, generics, and union types.

Install and use scikit-learn, a comprehensive Python library for machine learning and data mining built on NumPy and SciPy with classification, regression, clustering, and dimensionality reduction capabilities.

State-of-the-art pretrained models for text, vision, audio, and multimodal ML tasks. Unified API for inference and training with PyTorch, supporting 1M+ model checkpoints on Hugging Face Hub.

Install and set up PyTorch (torch) - Python deep learning framework with GPU acceleration for tensor computation and neural networks