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Learn to handle UTF-16 encoded text files in Python, including reading, writing, and troubleshooting common encoding issues for smooth text processing.
YAML is a popular, human-readable configuration and data serialization format, often used in Python for structured data handling.
Logging file operations in Python helps track changes, failures, and activities essential for debugging and ensuring reliable workflows in data pipelines or automation tasks.
The atexit module in Python lets you register cleanup functions that run automatically when a program exits normally, ensuring essential tasks are completed even if interrupted.
The glob module in Python simplifies finding files and directories that match specific patterns, streamlining file handling tasks directly within code.
Python provides built-in modules like gzip, bz2, and zipfile for handling file compression and decompression, making it easier to save space and reduce transfer times.
Learn essential Python scripting techniques for file handling, data processing, and automation with practical examples.
Learn how to read and write text files in Python using the built-in open() function and essential file handling techniques.
Learn to automate Excel data processing with Python, eliminating manual tasks and enabling scalable analysis for business and research.
Learn to read JSON files in Python with this guide covering format basics, reading methods, and practical examples for developers.