Copying files is typically slow. It can become painfully slow in situations where you may need to copy thousands of files from one directory to โฆ
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Tutorials on File I/O concurrency and parallelism in Python.
Copying files is typically slow. It can become painfully slow in situations where you may need to copy thousands of files from one directory to โฆ
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Moving a single file is fast, but moving many files can be slow. It can become painfully slow in situations where you may need to move thousands of โฆ
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Renaming a single file is fast, but renaming many files can be slow. It can become painfully slow in situations where you may need to rename โฆ
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Appending a file from multiple threads is not thread-safe and will result in overwritten data and file corruption. In this tutorial, you will โฆ
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Unzipping a large zip file is typically slow. It can become painfully slow in situations where you may need to unzip thousands of files to disk. โฆ
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Zipping a directory of files is typically slow. It can become painfully slow in situations where you may need to zip thousands of files to disk. โฆ
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Saving a single file to disk can be slow. It can become painfully slow in situations where you may need to save thousands of files. The hope is โฆ
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Loading files from disk in Python is typically a slow operation. It can become painfully slow in situations where you may need to load thousands of โฆ
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Don't put up with slow File I/O!
Your file I/O tasks could be so much faster if you used modern concurrency techniques.
Introducing: "Concurrent File I/O in Python".
A new book designed to teach you Concurrent File I/O step-by-step, super fast!