Publisher's Synopsis
File I/O can be faster in Python when using concurrency.
- Discover how to write files 3x faster with processes!
- Discover how to read files 3x faster with processes and threads!
- Discover how to unzip files 4x faster with processes and threads!
- Discover so much more...
- How to perform file I/O operation in the background.
- How to concurrently read files from disk and write files to disk.
- How to concurrently delete files from disk.
- How to concurrently copy, move, and rename files on disk.
- How to efficiently append files on disk.
- How to concurrently zip files and unzip files on disk.
Don't worry if you are new to file I/O or concurrency, you will also get primers on the background required to get the most out of this book. Including:
- The importance of concurrency for high-performance file I/O.
- How to perform common file I/O operations in Python.
- How to use Python concurrency APIs including threading, multiprocessing, and asyncio.
- How to perform file I/O with coroutines in asyncio using the aiofiles library.
- How to use programming patterns for concurrent file I/O.
Each tutorial is carefully designed to teach one critical aspect of how to bring concurrency to file I/O tasks. Stop copy-pasting code from StackOverflow answers.
Learn Python concurrency correctly, step-by-step.