You are experiencing performance bottlenecks in a Python program due to slow file I/O operations. How would you optimize the file reading and writing processes to improve performance?
- a. Use buffered I/O
- b. Upgrade the CPU
- c. Increase the file size
- d. Convert files to binary format
To optimize file reading and writing processes in Python, you should use buffered I/O. This involves reading/writing data in larger chunks, reducing the number of I/O operations and improving performance. Upgrading the CPU may not directly address I/O bottlenecks. Increasing file size and converting files to binary format may not be appropriate solutions for all scenarios and can introduce other issues.
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