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Python developers write, test, and maintain code using Python. They build applications, manage data, and solve problems. This role requires both technical skills and teamwork.
Learn how Python's dis module reveals bytecode, helping developers debug, optimize, and understand code execution at a deeper level.
Effective error handling in Python functions ensures robustness, user-friendliness, and easier debugging by anticipating and managing potential exceptions.
Python function annotations and type hints clarify expected parameter and return types, improving code readability and maintainability.
Learn to use Python's input() function for dynamic scripts, command line tools, and form processing, making programs interactive and user-friendly.
Learn Python method naming conventions: use snake_case, keep names clear and descriptive, avoid abbreviations, and include action verbs for readability and professionalism.
Learn how to fix a common Python ModuleNotFoundError by understanding its root causes and solutions.
Python multithreading enables concurrent execution but is limited by the Global Interpreter Lock (GIL). It's best for I/O-bound tasks, not CPU-intensive ones, and requires careful handling.
Python's signal module enables handling of operating system signals for asynchronous process communication, essential for graceful interruption and robust application behavior.
Python's traceback module helps you programmatically access and analyze error reports, making debugging easier by showing the code path leading to an error.