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Python Statements

In Python programming, statements play a pivotal role. They are essentially fragments of code that execute specific operations or commands. There are a variety of statements, some of which are simple, and others are compound.

Simple and Compound statements

A simple statement, or 'simple instruction' in Python, is identified by a keyword.

Consider this - assigning a value to a variable is as simple as it gets. Here's an example:

number = 10

Compound statements, conversely, are somewhat more complex. They consist of blocks of code demarcated by the colon symbol ":" which signals the beginning of a code block.

For instance, a 'for' loop encapsulates the concept of a compound instruction, as it requires a block of code:

  1. for numbers in range(1, 10):
  2. print(numbers)

Types of Statements in Python

Python showcases an array of statements types, including:

  • Assignment statements
    These allocate a value to a variable. Here's a simple illustration x = 5. This statement bestows the value 5 onto the variable x.

    x = 5

  • Conditional statements
    These allow specific sections of code to be executed when certain conditions are fulfilled. An 'if' statement is a classic example of a conditional instruction.

    if x > 0:
    print("x is positive")

  • Loop statements
    These facilitate the repeated execution of a code block. 'For' and 'while' loops fall under this category.

    for i in range(5):
    print(i)

  • Flow control statements
    These govern the progression or 'flow' of a program, facilitating transitions between different code blocks. 'Break', 'continue', and 'pass' exemplify this type of instruction.

    for i in range(10):
    if (i==5): break
    print(i)

  • Function statements
    These define a function. For instance:

    def say(name):
    print("Hello, " + name + "!")

  • Import statements
    These enable the import of modules or functions from other files or modules. For example, importing the math module is as simple as writing - import math.

    import math

  • Return statements
    The 'return' statement concludes the execution of a function and delivers a value.

    def addnumbers(a, b):
    return a + b

The 'return' statement concludes the execution of a function and delivers a value.

List of Python statements

Finally, let's look at a list of Python statements:

  • assert
    The assert statement raises an exception if the expression you have specified is false.
  • del
    This statement deletes the reference of an object in memory.
  • for
    This compound statement creates a loop to perform a certain number of iterations.
  • from
    The keyword 'from' allows you to import only certain functions or classes from a module.
  • if
    It's a compound statement that allows you to execute a part of the code only if a particular condition occurs. In other words, it is a conditional structure.
  • import
    This instruction loads into memory the functions and classes of an external module.
  • pass
    The 'pass' statement functions as a placeholder, quite handy when you're in the process of structuring your code.
  • return
    The return keyword terminates a function or method and optionally returns a return value to the calling code.
  • try except
    This compound statement allows you to catch and handle exceptions that may be raised during the execution of a block of code.
  • with
    The 'with' statement enables you to execute a block of code while ensuring that any opened resources are automatically closed at the end. This is especially useful for managing files, databases, and network connections efficiently.

 




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