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#python #scip

The operator specifies a *function*. When this call expression is evaluated,
we say that the function max is *called* with *arguments* 7.5 and 9.5, and
*returns* a *value* of 9.5.

The order of the arguments in a call expression matters. For instance, the function pow raises its first argument to the power of its second argument.

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**1.2 Elements of Programming**

he same as in conventional mathematics. >>> max(7.5, 9.5) 9.5 This call expression has subexpressions: the operator is an expression that precedes parentheses, which enclose a comma-delimited list of operand expressions. <span>The operator specifies a function. When this call expression is evaluated, we say that the function max is called with arguments 7.5 and 9.5, and returns a value of 9.5. The order of the arguments in a call expression matters. For instance, the function pow raises its first argument to the power of its second argument. >>> pow(100, 2) 10000 >>> pow(2, 100) 1267650600228229401496703205376 Function notation has three principal advantages over the mathematical convention of infix

he same as in conventional mathematics. >>> max(7.5, 9.5) 9.5 This call expression has subexpressions: the operator is an expression that precedes parentheses, which enclose a comma-delimited list of operand expressions. <span>The operator specifies a function. When this call expression is evaluated, we say that the function max is called with arguments 7.5 and 9.5, and returns a value of 9.5. The order of the arguments in a call expression matters. For instance, the function pow raises its first argument to the power of its second argument. >>> pow(100, 2) 10000 >>> pow(2, 100) 1267650600228229401496703205376 Function notation has three principal advantages over the mathematical convention of infix

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