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In python, a generator is an iterator constructor Recursive drawing of a sierpiński triangle through turtle graphics in computer science, recursion is a method of solving a computational problem where the solution depends on solutions to smaller instances of the same problem A function that returns an iterator
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An example of a python generator returning an iterator for the fibonacci numbers using python's yield statement follows: Each branch can be seen as a smaller version of a tree The iteration form of the eiffel loop can also be used as a boolean expression when the keyword loop is replaced by either all (effecting universal quantification) or some (effecting existential quantification)
This iteration is a boolean expression which is true if all items in my_list have counts greater than three:
Fold is also termed as reduce, accumulate, aggregate, compress, or inject Typically, a fold is presented with a combining function, a top node. Iteration means repeating a process to generate a (possibly unbounded) sequence of outcomes Each repetition of the process is a single iteration, and the outcome of each iteration is the starting point of the next iteration.
The iterator pattern decouples algorithms from containers Tree fractal created using the logo programming language and relying heavily on recursion
