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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.
Explore Python's built-in html.parser module for lightweight, no-dependency HTML parsing without third-party tools like BeautifulSoup.
Explore Python modules: key for clean, reusable code. Learn how to import, structure, and leverage modules effectively in your projects.
The Python random module generates unpredictable values for games, simulations, or data variety. It's built-in and easy to import and use for adding randomness to programs.
Learn how to use Python's sys module to interact with the runtime environment, handle command-line arguments, and control the interpreter. Essential for advanced Python programming.
Learn how Python's time module handles time-related tasks like measuring performance, pausing execution, and converting time formats.
Learn to use Python's built-in urllib.request module to interact with web services, download data, and handle HTTP requests and headers effectively without external dependencies.
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 to write and run tests with Python's unittest module, plus debugging techniques to ensure robust, reliable code and catch bugs early.
Python's @classmethod decorator allows methods to operate on the class itself, not just instances, enabling alternative constructors and class-level functionality.