- Aliases
- and operator
- Booleans
- Classes
- Code blocks
- Comments
- Conditional statements
- Console
- datetime module
- Dictionaries
- enum
- enumerate() function
- Equality operator
- False
- Floats
- For loops
- Formatted strings
- Functions
- Greater than operator
- Greater than or equal to operator
- If statement
- in operator
- Indices
- Inequality operator
- Integers
- Less than operator
- Less than or equal to operator
- List append() method
- List insert() method
- List pop() method
- List sort() method
- Lists
- map() function
- Match statement
- Modules
- None
- not operator
- or operator
- Parameters
- print() function
- range() function
- Regular expressions
- requests Library
- return statement
- round() function
- Sets
- String join() method
- String replace() method
- String split() method
- Strings
- time.sleep() function
- True
- try...except statement
- Tuples
- Variables
- While loops
PYTHON
Python Integer: Syntax, Usage, and Examples
Integer, or int
, is a data type in Python that represents whole numbers without a decimal point.
How to Use Python Integers
To create and use an integer in Python, simply assign a whole number to a variable:
# Assigning integer values
count = 25
When to Use Python Integers
Integer numbers are essential for working with whole numbers in Python code. From simple arithmetic operations to controlling loops, indexing, and more, integers make up virtually every Python program.
Examples of Python Integers
Representing Data
Integers are ideal for representing data where fractional parts are not applicable. As examples, consider age, the number of people, or the number of items.
age = 20
number_of_students = 45
pages_in_a_book = 300
Mathematical Operations
Integers are essential for performing mathematical calculations, particularly where floating-point arithmetic could lead to errors.
x = 5
y = 3
result = x * y # Result is 15, exact and integer
Counting and Iterations
Integers are commonplace in loops for counting and iterating through collections:
for i in range(5):
print(i) # Outputs: 0, 1, 2, 3, 4
Indexing and Accessing Data
Arrays, lists, and other collections use integers to represent the position, or index, of their elements.
numbers = [10, 20, 30, 40]
print(numbers[2]) # Outputs: 30
Learn More About Python Integers
Converting String to Integer in Python
You can use the int()
function to convert a Python string to an integer. Once converted, the integer-type number is safe to use for calculations. String conversions are often necessary when processing user input or receiving data from external sources.
number = int("10") # Converts string to integer
sum = number + 5
print(sum) # Outputs: 15
Converting Integer to String in Python
Converting integers to strings is common in Python, especially when you need to concatenate numbers with text for display:
age = 25
text = "Your age is " + str(age)
print(text) # Outputs: Your age is 25
Formatting Integers in Python
Especially when displaying large integers, using separators for thousands might make an integer easier to read. Using f-string formatting, you can control how you want an integer to display as a string.
budget = 1234567
print(f"{budget:,}") # Output: '1,234,567' formats with commas
Generating Random Integers in Python
With the random
module, Python can generate random numbers. The randint()
function in Python can provide a useful random-number generator for games, simulations, and testing purposes.
import random
# Generate a random integer within a range
rand_int = random.randint(1, 100)
print(rand_int)
Python Integer Division
Dividing an integer by another integer normally produces a float.
result = 10 / 3
print(result) # Outputs: 3.3333333333333335
Integer division, performed using //
, discards the remainder and returns an integer result. This is particularly useful in scenarios where you need an exact division, such as distributing items evenly without considering remainders.
result = 10 // 3
print(result) # Outputs: 3
Max Integer in Python
Many programming languages have a maximum integer value. Python integers, however, are of arbitrary precision and can grow as large as memory allows.
huge_number = 12345678901234567890
print(huge_number + 1) # Outputs: 12345678901234567891
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