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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
Dale Parsons and Patricia Haden of Otago Polytechnic developed Parsons's Programming Puzzles to aid the mastery of basic syntactic and logical constructs of computer programming languages, in particular Turbo Pascal, [1] although any programming language may be used.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Python's tuple assignment, fully available in its foreach loop, also makes it trivial to iterate on (key, value) pairs in dictionaries: for key , value in some_dict . items (): # Direct iteration on a dict iterates on its keys # Do stuff
In the second round, actual programs must be written and executed. There are five questions, each requiring a different program to be written. Most entrants answer only a single question. The tasks usually include one basic shape-drawing program—for example, the 2004 question "TriSquare" required output such as:
An assignment operation is a process in imperative programming in which different values are associated with a particular variable name as time passes. [1] The program, in such model, operates by changing its state using successive assignment statements.
Free and open-source software (FOSS) is software available under a license that grants users the right to use, modify, and distribute the software – modified or not – to everyone free of charge. FOSS is an inclusive umbrella term encompassing free software and open-source software .
Conceptual dependency theory is a model of natural language understanding used in artificial intelligence systems.. Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence. [1]