Difference between logical and relational operators in python
Relation and Logic are the fundamental bricks of a program that defines its functionality. With these fundamentals, you decide what should be the flow of execution and what conditions should be kept to make sure the flow stays that way. Show In every programming language including python, to manage the flow of any program, conditions are required, and to define those conditions, relational and logical operators are required. Remember those days when your mathematics teacher in school used to ask you if 3 is greater than 2, say yes, otherwise no, that is pretty much what we do in programming world too. You provide the compiler with some condition based on an expression, compiler computes the expression and executes the condition based on the output of the expression. In the case of relational and logical expressions, the answer will always be either Operators are the conventional symbols, that bring one, two or more operands together to form an expression. Operators and operands are two key deciding factors of the output. Now let's see some operators that are available in python language. Python Relational OperatorRelational operators are used to establish some sort of relationship between the two operands. Some of the relevant
examples could be less than, greater than or equal to operators. Python language is capable of understanding these types of operators and accordingly return the output, which can be either Let's checkout a few relational expressions. Open your IDLE and try this:
True Since The list of operators available includes:
You can try each of the operators to practice with some numbers (or even strings).
True False Python Logical OperatorsLogical operators, as the name suggests are used in logical
expressions where the operands are either
Let's see a few examples:
False
False Now, we also know that the relational expressions return a Boolean value as their output, therfore know we can combine relational and logical expressions to create something more meaningful. For example,
True
False Taking a bit more realistic programming example, consider you have a variable
25
True Given numbers a, b, c, and d. The following table lists examples combining relational and logical operators. 3 Precedence RulesMotivation: Consider the following expression:
There are two interpretations which give two different results
Precedence rules let the compiler decide which interpretation to take. The precedence rules are:
By these rules, the first interpretation is used. However, if in doubt, use parenthesis to make your meaning clear to yourself and other programmers. 4 Tips
5 ExperimentDifference between the assignment and equality
Hypothesis: What will this program print out?
If you aren’t sure, compile and run the program to see. What is the value of “i” after the “if” statement executes? (you can modify the experiment to output the value) How does relational operator differ from logical operators?Relational, equality and logical operators are used to form logic expressions. Relational and equality operators usually compare two numbers and return a value of true or false (forming a logic expression). Logical operators combine logical values of true or false into a logical expression.
What are the 6 relational operators in Python?We have six of these, including and limited to- less than, greater than, less than or equal to, greater than or equal to, equal to, and not equal to. So, let's begin with the Python Comparison operators.
What is an logical operator in Python?In Python, Logical operators are used on conditional statements (either True or False). They perform Logical AND, Logical OR and Logical NOT operations. OPERATOR.
What is the difference between logical and and logical or operator?The ampersand (&) symbol is a valid substitute for the logical operator AND . The vertical bar ( | ) is a valid substitute for the logical operator OR . Only one logical operator can be used to combine two relations. However, multiple relations can be combined into a complex logical expression.
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