CONDITIONS IN PYTHON

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 In Python, conditions are used to make decisions and control the flow of execution based on whether certain conditions are true or false. Conditions are typically expressed using comparison operators and logical operators. Here are some commonly used condition concepts and operators in Python:

  1. Comparison Operators:

    • Equal to: ==
    • Not equal to: !=
    • Greater than: >
    • Less than: <
    • Greater than or equal to: >=
    • Less than or equal to: <=

    These operators are used to compare two values or variables and return a Boolean result (True or False) based on the comparison.

  2. Logical Operators:

    • Logical AND: and
    • Logical OR: or
    • Logical NOT: not

    Logical operators are used to combine multiple conditions and evaluate the overall result. They return True or False based on the logical combination of the individual conditions.

  3. Conditional Statements:

    • if statement: Executes a block of code if a condition is true.
    • if-else statement: Executes one block of code if a condition is true, and another block of code if the condition is false.
    • if-elif-else statement: Allows multiple conditions to be evaluated sequentially, executing different blocks of code based on the first condition that is true.

    These conditional statements control the flow of execution in Python based on the evaluation of conditions.

  4. Boolean Values:

    • True and False are the two boolean values in Python. They are used to represent the truth or falsity of conditions.

  5. Membership Operators:

    • in and not in are membership operators that are used to test whether a value is present in a sequence (such as a list, tuple, or string).

  6. Identity Operators:

    • is and is not are identity operators used to compare the identity (memory location) of two objects.

These condition concepts and operators allow you to write conditional statements and control the flow of your Python programs based on different conditions and logical operations. They are essential for decision-making and creating flexible, dynamic programs.

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