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Numbers | Variables and Types
Introduction to Python

Course Content

Introduction to Python

Introduction to Python

1. First Acquaintance
2. Variables and Types
3. Conditional Statements
4. Other Data Types
5. Loops
6. Functions

Numbers

Let's dive into numbers first. Python has the following numerical types:

• `int` - for integer numbers (e.g., `3`, `-1`, `1003`);
• `float` - for decimal numbers (e.g., `2.8`, `3.333`, `-3.0`);
• `complex` - for complex numbers (e.g., `3+2j`).

We'll focus on the first two types since the `complex` type is typically reserved for scientific applications. Let's say we want to determine how many days are in 792 hours and how many seconds are in an hour. We'll crunch these numbers and identify their types.

Here's a quirky outcome! Even though both numbers were integers (of type `int`), their division resulted in a `float` type (yielding `33.0`). But why? Isn't `33.0` essentially an integer? Well, in math, it is. But Python, being cautious, recognizes that dividing two integers won't always give an integer result (unlike multiplication, subtraction, or addition).

Note

If you need to switch between numerical types, use `int()` to convert to integer, `float()` for decimal, and `complex()` for complex number. When you convert a decimal to an integer, Python drops the decimal portion without rounding.

Note

When converting a floating-point number to an integer, the process truncates the number by removing the decimal portion, rather than rounding it mathematically.

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Section 2. Chapter 5
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