48. Handling Large Files with io Module
1. Opening a File with Buffered Reading (io.open)
Reading a file in buffered mode to handle large files efficiently.
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import io
with io.open('large_file.txt', 'r', buffering=1024) as file:
data = file.read(1024) # Read 1 KB of data at a time
print(data)This reads the file in chunks of 1024 bytes, which helps reduce memory usage when dealing with large files.
2. Reading a Large File Line by Line
Reading a file line by line to avoid loading the entire file into memory at once.
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import io
with io.open('large_file.txt', 'r', buffering=2048) as file:
for line in file:
print(line.strip())This reads the file line by line, which is memory-efficient for large files.
3. Writing Large Data to a File Using Buffered Writing
Writing large amounts of data to a file using buffered I/O.
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This writes large chunks of data to the file, and buffered I/O optimizes the writing process.
4. Reading a Binary File Efficiently
Using buffered reading for binary files (e.g., images, videos).
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This reads a binary file in chunks, which is efficient for handling large binary files.
5. Reading a Large File in Chunks Using io.BufferedReader
Using BufferedReader for efficient reading of large files.
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This uses BufferedReader to read large files in smaller, manageable chunks.
6. Writing Binary Data with io.BufferedWriter
Writing binary data efficiently with buffered writing.
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Buffered writing helps efficiently manage large binary writes to a file.
7. Using io.FileIO for Low-Level File Handling
Low-level file operations with buffered I/O for large files.
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io.FileIO provides a low-level interface for file handling with buffered I/O, ideal for large files.
8. Seeking and Reading Large Files Using io.Seek
Efficiently seeking and reading from a large file using the seek method.
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This moves to a specific byte position in the file and reads a chunk, optimizing file reading.
9. Writing Large Data to a Binary File Using io.FileIO
Efficiently writing large binary data using FileIO with buffered I/O.
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This demonstrates buffered writing for large binary data, reducing memory usage.
10. Copying Large Files Using io.Copy
Efficiently copying large files using buffered I/O.
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Using shutil.copyfileobj with buffered I/O allows efficient copying of large files in chunks.
These examples show how the io module provides powerful tools for efficiently handling large files, whether you're working with text or binary data. By using buffered reading and writing, you can significantly reduce memory usage and improve performance in file-intensive operations.
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