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Working with Files Asynchronously in Python using aiofiles and asyncio
- Asynchronous code has become a mainstay of Python development.
- File I/O can be a common blocker, so let's walk through how to use the aiofiles library to work with files asynchronously.
- With aiofiles, you can read and write to files which can hang while waiting for a result, i.e., non-blocking code.
- For reading from a file, you can asynchronously open and parse its JSON contents into a dictionary.
- Writing to a file is also similar to standard Python file I/O using aiofiles.
- You can use asyncio to go through many files asynchronously, read from every file, parse the JSON, and rewrite each Pokemon's moves to a new file.
- You can use asyncio.ensure_future and asyncio.gather to end with data corresponding to those asynchronous tasks.
- Adapt these code samples to the specific problems you're trying to solve so file I/O doesn't become a blocker in your asynchronous code.
- aiohttp and asyncio are powerful tools for Python developers, and exploring them further will deepen your understanding of how to write efficient async Python code.
- Use asyncio and aiofiles together to handle file I/O in asynchronous code.
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