Avalanche
Bereit, das in der Produktion aufzurufen?
Das Free-Tier deckt persönliche Projekte ab. Pay-as-you-go skaliert ohne Karte.
Avalanche
Das Free-Tier deckt persönliche Projekte ab. Pay-as-you-go skaliert ohne Karte.
Python has a strong toolchain for the Avalanche C-Chain. Use web3.py for general scripting and application code — balance checks, transaction submission, data pipelines — and eth-brownie when you want a full smart-contract development workflow with compilation, testing, and deployment. Together they cover everything from a quick one-off script that reads an AVAX balance to a production service indexing C-Chain activity at chain ID 43114.
web3.py version 6 and later offers both a synchronous and an async interface against the C-Chain. Synchronous code is simplest for scripts; for concurrent workloads, use AsyncWeb3 together with an async-compatible provider so many Avalanche calls can be in flight at once without blocking the event loop.
web3.py is the official, full-featured Python library for EVM chains and exposes the complete C-Chain API surface. Install it with pip install web3, then connect with Web3(Web3.HTTPProvider('https://avalanche.therpc.io/YOUR_API_KEY')). From that client you read AVAX balances, fetch the current gas price, build and sign transactions, and submit them to the Avalanche C-Chain.
eth-brownie is a Python framework built around the smart-contract lifecycle on EVM chains like the Avalanche C-Chain: compiling Solidity, writing pytest-style tests against a local fork, and deploying to the network. Install it with pip install eth-brownie, then configure an Avalanche C-Chain network entry pointing at https://avalanche.therpc.io/YOUR_API_KEY to deploy and interact with your contracts.
For concurrent workloads against the C-Chain, web3.py's async interface centers on AsyncWeb3, which lets you fan out many calls — fetching a batch of blocks or balances — without blocking. It needs an async-compatible provider and runs inside an asyncio event loop, so wrap your coroutines and drive them with asyncio.run. This is where Avalanche's fast finality pays off: parallel awaited requests resolve in quick succession.
web3.py ships comprehensive type stubs, so you can annotate your C-Chain code with TxParams, Wei, and Address from web3.types. Those annotations give you IDE autocompletion and let mypy catch type mistakes — passing a plain int where Wei is expected, or a malformed Address — statically, before any transaction reaches the Avalanche endpoint.