The int type represents whole numbers with arbitrary precision, limited in practice by memory and some conversion safeguards.
Understanding the Concept
Integers can be positive, negative, or zero. Common operations include addition, subtraction, multiplication, floor division, and remainder. Python does not store int as a fixed 32-bit value by default, so values can grow beyond common machine-integer limits, although very large calculations still consume time and memory. Division with / produces a float even when two integers divide evenly; // performs floor division. Conversion from numeric text uses int() when the text is valid.
When and Why You Would Use This
Use integers for countable items such as seats or units in stock. Do not store a fractional measurement in an int if you need the decimal part.
Practical Example
available_seats = 120
reserved_seats = 37
remaining_seats = available_seats - reserved_seats
print("Remaining:", remaining_seats)
print("Whole groups of 8:", remaining_seats // 8)Understanding the Example
The remaining count is 83. Floor division by 8 gives 10 full groups, with three seats left over. All values used here are integers.
Example Output
Remaining: 83
Whole groups of 8: 10Try It Yourself
Calculate how many complete boxes of 12 are needed to hold 49 items, and how many items remain after filling four complete boxes.
Common Beginner Mistakes
- Assuming integers always have a fixed maximum size like some other languages.
- Using int() on "4.5" and expecting it to parse decimal text directly.
- Confusing
/with//when you need whole groups.
Key Takeaways
- int represents whole numbers without a fixed machine-word limit.
- Integer arithmetic supports counts and discrete quantities.
- Use the appropriate division operation for the result you need.