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Learn efficient methods to read large files in Python without memory issues, handling logs, CSV, and text datasets effectively.
Python helps parse and analyze log files for debugging, performance monitoring, and user behavior insights, using built-in tools and libraries to extract valuable data efficiently.
Learn efficient techniques for reading multiple files in Python, including using os.listdir() to list files and handle various file types.
Learn how Python simplifies finding specific file types across nested directories with efficient recursive traversal methods.
Learn to save and customize Matplotlib plots for reports, sharing, and online use, from basic exports to advanced settings.
Learn to automatically split large PDF files into manageable parts using Python to save time and avoid manual effort.
Thoroughly test file handling in Python to prevent common bugs like missing files, permission issues, and unexpected formats.
Learn to parse and create XML in Python using the built-in xml.etree.ElementTree module. Ideal for handling web APIs, config files, and data exports efficiently.
Use Python's pathlib module for cleaner, object-oriented file path handling instead of string manipulation with os.path. Simplifies code and reduces errors.
Binary files store raw bytes for media, data, and programs, preserving exact content. Python provides essential tools for handling them effectively in various applications.