ython is an interpreted object-oriented high-level programming
language with dynamic semantics. Its high-level built in data
structures combined with dynamic typing and dynamic binding make it
very attractive for Rapid Application Development as well as for
use as a scripting or glue language to connect existing components
together. Python's simple easy to learn syntax emphasizes
readability and therefore reduces the cost of program maintenance.
Python supports modules and packages which encourages program
modularity and code reuse. The Python interpreter and the extensive
standard library are available in source or binary form without
charge for all major platforms and can be freely distributed.
Often programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead when the interpreter discovers an error it raises an exception. When the program doesn't catch the exception the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables evaluation of arbitrary expressions setting breakpoints stepping through the code a line at a time and so on. The debugger is written in Python itself testifying to Python's introspective power. On the other hand often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this
Often programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead when the interpreter discovers an error it raises an exception. When the program doesn't catch the exception the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables evaluation of arbitrary expressions setting breakpoints stepping through the code a line at a time and so on. The debugger is written in Python itself testifying to Python's introspective power. On the other hand often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this
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