Program Structure and Execution in Visual Studio .NET

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Program Structure and Execution
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Python programs are structured as a sequence of statements All language features, including variable assignment, function definitions, classes, and module imports, are statements that have equal status with all other statements In fact, there are no special statements, and every statement can be placed anywhere in a program For example, this code defines two different versions of a function:
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if debug: def square(x): if not isinstance(x,float): raise TypeError("Expected a float") return x * x else: def square(x): return x * x
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When loading source files, the interpreter always executes every statement in order until there are no more statements to executeThis execution model applies both to files you simply run as the main program and to library files that are loaded via import
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Conditional Execution
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The if, else, and elif statements control conditional code executionThe general format of a conditional statement is as follows:
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if expression: statements elif expression: statements elif expression: statements else: statements
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5 Program Structure and Control Flow
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If no action is to be taken, you can omit both the else and elif clauses of a conditional Use the pass statement if no statements exist for a particular clause:
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if expression: pass else: statements # Do nothing
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Loops and Iteration
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You implement loops using the for and while statements Here s an example:
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while expression: statements for i in s: statements
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The while statement executes statements until the associated expression evaluates to falseThe for statement iterates over all the elements of s until no more elements are availableThe for statement works with any object that supports iterationThis obviously includes the built-in sequence types such as lists, tuples, and strings, but also any object that implements the iterator protocol An object, s, supports iteration if it can be used with the following code, which mirrors the implementation of the for statement:
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it = s_ _iter_ _() # Get an iterator for s while 1: try: i = itnext() # Get next item (Use _ _next_ _ except StopIteration: # No more items break # Perform operations on i
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in Python 3)
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In the statement for i in s, the variable i is known as the iteration variable On each iteration of the loop, it receives a new value from sThe scope of the iteration variable is not private to the for statement If a previously defined variable has the same name, that value will be overwritten Moreover, the iteration variable retains the last value after the loop has completed If the elements used in iteration are sequences of identical size, you can unpack their values into individual iteration variables using a statement such as the following:
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for x,y,z in s: statements
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In this example, s must contain or produce sequences, each with three elements On each iteration, the contents of the variables x, y, and z are assigned the items of the corresponding sequence Although it is most common to see this used when s is a sequence of tuples, unpacking works if the items in s are any kind of sequence including lists, generators, and strings When looping, it is sometimes useful to keep track of a numerical index in addition to the data values Here s an example:
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i = 0 for x in s:
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Loops and Iteration
statements i += 1
Python provides a built-in function, enumerate(), that can be used to simplify this code:
for i,x in enumerate(s): statements
enumerate(s) creates an iterator that simply returns a sequence of tuples (0, s[0]), (1, s[1]), (2, s[2]), and so on
Another common looping problem concerns iterating in parallel over two or more sequences for example, writing a loop where you want to take items from different sequences on each iteration as follows:
# s and t are two sequences i = 0 while i < len(s) and i < len(t): x = s[i] # Take an item from s y = t[i] # Take an item from t statements i += 1
This code can be simplified using the zip() function For example: