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Python is a high-level, interpreted, object-oriented language with dynamic semantics. In addition to being highly appealing for Rapid Application Development, its high-level built-in data structures, dynamic typing, and dynamic binding also make it an excellent choice for usage as a scripting or glue language to join existing components. Python's easy-to-learn syntax prioritizes readability, which lowers software maintenance costs. Python's support for packages and modules promotes code reuse and program modularity. The large standard library and the Python interpreter are freely distributable and accessible for free on all major platforms in source or binary form. The enhanced efficiency that Python offers is often the reason that programmers fall in love with it. The edit, test, and debug cycle is extremely quick because there is no compilation step. Python program debugging is simple because segmentation faults are never caused by bugs or incorrect input. Rather, the interpreter raises an exception when it finds a mistake. The interpreter prints a stack trace if the application fails to catch the exception. Setting breakpoints, evaluating arbitrary expressions, inspecting local and global variables, stepping through the code one line at a time, and other features are all possible with a source level debugger.
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