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Python's signal module enables handling of operating system signals for asynchronous process communication, essential for graceful interruption and robust application behavior.
Python's smtplib simplifies email automation, allowing scripts to send notifications and reports directly using SMTP servers for seamless integration into applications.
Python's built-in statistics module offers powerful, lightweight tools for data analysis without external libraries. Explore practical projects to summarize datasets and derive insights efficiently.
Explore test.support, a vital Python module powering CPython's test suite. Though not for general use, it reveals testing insights and best practices for developers.
The time module in Python provides essential functions for delays, execution timing, and handling timestamps, making it a key tool for time-related programming tasks.
Python tokenizes code into tokens using the tokenize module, which is essential for building tools like linters, formatters, and syntax highlighters.
Python's traceback module helps you programmatically access and analyze error reports, making debugging easier by showing the code path leading to an error.
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's Counter class from the collections module makes counting item frequencies in iterables like lists and strings easy and efficient.