What are the ways to improve the file loading process in Python?

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Here are some ways to improve the file loading process in Python:

1. Use a more efficient file format: Consider using a file format that is optimized for speed and efficiency, such as binary or compressed formats like Parquet, Avro, or HDF5.

2. Batch loading: Loading multiple files at once (in batches) can be faster than loading each file individually.

3. Use multithreading: Multithreading enables the application to perform multiple tasks concurrently, which can help speed up file loading.

4. Use caching: Caching allows the application to store frequently accessed data in memory, eliminating the need to read it from disk repeatedly.

5. Use memory mapping: Memory-mapping a file allows Python to access the file directly from memory, avoiding the need to read it from disk.

6. Use streaming: If the file can be loaded in chunks, consider using a streaming approach to read and process the file in smaller segments rather than loading the entire file at once.

7. Use a faster storage medium: If the file is located on a slow disk, consider moving it to a faster storage medium, such as an SSD or RAM disk.