15. Simple statements

Python statement types are divided into two groups. Simple statements, that are executed sequentially and do not affect the flow of control, are described first. Compound statements, which may affect the sequence of execution, are discussed in Section 16, “Compound statements”.

Here, for your convenience, is a table of all the Python statement types, and the sections where they are described. The first one, the assignment statement, does not have an initial keyword: an assignment statement is a statement of the form “variable = expression”.

Assignment	Section 15.1, “The assignment statement: `name = expression`”.
`assert`	Section 15.2, “The `assert` statement: Verify preconditions”.
`break`	Section 16.2, “The `break` statement: Exit a `for` or `while` loop”.
`continue`	Section 16.3, “The `continue` statement: Jump to the next cycle of a `for` or `while`”.
`del`	Section 15.3, “The `del` statement: Delete a name or part of a value”.
`elif`	Section 16.5, “The `if` statement: Conditional execution” and Section 16.8, “The `try` statement: Anticipate exceptions”.
`else`	Section 16.5, “The `if` statement: Conditional execution”.
`except`	Section 16.8, “The `try` statement: Anticipate exceptions”.
`exec`	Section 15.4, “The `exec` statement: Execute Python source code”.
`finally`	Section 16.8, “The `try` statement: Anticipate exceptions”.
`for`	Section 16.4, “The `for` statement: Iteration over a sequence”.
`from`	Section 15.6, “The `import` statement: Use a module”.
`global`	Section 15.5, “The `global` statement: Declare access to a global name”.
`if`	Section 16.5, “The `if` statement: Conditional execution”.
`import`	Section 15.6, “The `import` statement: Use a module”.
`pass`	Section 15.7, “The `pass` statement: Do nothing”.
`print`	Section 15.8, “The `print` statement: Display output values”.
`raise`	Section 16.6, “The `raise` statement: Cause an exception”.
`return`	Section 16.7, “The `return` statement: Exit a function or method”.
`try`	Section 16.8, “The `try` statement: Anticipate exceptions”.
`yield`	Section 16.9, “The `yield` statement: Generate one result from a generator”.

Python 2.5 quick reference

15. Simple statements