This document discusses operators and expressions in Python. It covers basic arithmetic operators like addition, subtraction, multiplication, division, and modulus. It also discusses exponentiation and how operators work with different data types, like integers and floats. Priority levels of operators are defined, with exponentiation having a higher priority than multiplication/division. Examples are provided to demonstrate how operators are used to evaluate expressions and how operator precedence impacts evaluation order.

1. Module 1
operations, basic operators,data types, variables,
basic input-output
Operators

2. Module 1 Operators
Basic operators
+ - * / // % **
Data and operators when connected
together form expressions.

3. Module 1 Operators
Exponentiation, multiplication
print(2 ** 3)
print(2 ** 3.)
print(2. ** 3)
print(2. ** 3.)
8
8.0
8.0
8.0
When both ** arguments are integers, the result is
an integer, too;
When at least one ** argument is a float, the result
is a float, too.
print(2 * 3)
print(2 * 3.)
print(2. * 3)
print(2. * 3.)
6
6.0
6.0
6.0

4. Module 1 Operators
Division, integer division
print(6 / 3)
print(6 / 3.)
print(6. / 3)
print(6. / 3.)
2.0
2.0
2.0
2.0
print(6 // 3)
print(6 // 3.)
print(6. // 3)
print(6. // 3.)
2
2.0
2.0
2.0

5. Module 1 Operators
Basic operators
print(14 % 4)
print(12 % 4.5)
print(-4 + 4)
print(-4. + 8)
print(-4 - 4)
print(4. - 8)
print(-1.1)
print(+2)
2
3.0
0
4.0
-8
-4.0
-1.1
2

6. Module 1 Operators
List of priorities
Priority Operator
1 +, - unary
2 **
3 *, /, //, %
4 +, - binary
Left-sided binding
• print(9 % 6 % 2)
Right-sided
binding
• print(2 ** 2 ** 3)

7. Module 1 Operators
Key takeaways
• An expression is a combination of values;
• Operators are special symbols or keywords;
• Arithmetic operators in Python;
• A unary operator, a binary operator;
• The hierarchy of priorities;
• The exponentiation operator uses right-sided binding.