Aprenda Compreensão dos Tipos Numéricos

Pré-requisitos

Introduction to Python

Numbers are everywhere in Python. You'll use two core numeric types most of the time: integers (int) for whole numbers and floating-point numbers (float) for decimals (including scientific notation like 1e-3).

Integer and Float Essentials

Integers (int): whole numbers such as -2, 0, 7, 456566. Python supports arbitrarily large integers;
Floats (float): decimal values such as 2.5, 3.14159, 2.71828, or scientific notation like 6.02e23;
Truthiness: 0 and 0.0 are False, any other int/float is True in boolean contexts.


              123456
            
# Basic numeric literals (no type checks or conversions here)
n_int = 42
n_float = 3.14
n_sci = 1e-3   # 0.001

print(n_int, n_float, n_sci)

Writing Large Numbers Readably

Humans often write 1,000,000 or 1 000 000. Python doesn't allow commas or spaces inside numeric literals, use underscores for readability.


              12
            
million = 1_000_000
print(million == 1000000)   # True

Note

Floats are stored as binary fractions, tiny rounding differences are normal (e.g., 0.1 + 0.2 may not be exactly 0.3). You'll handle rounding and formatting later.

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Seção 1. Capítulo 1

Pergunte à IA

Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo

Suggested prompts:

Can you explain more about how to use underscores in numbers?

What happens if I try to use commas or spaces in numeric literals?

How do I check the type of a number in Python?

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Pré-requisitos

Introduction to Python

Integer and Float Essentials

Integers (int): whole numbers such as -2, 0, 7, 456566. Python supports arbitrarily large integers;
Floats (float): decimal values such as 2.5, 3.14159, 2.71828, or scientific notation like 6.02e23;
Truthiness: 0 and 0.0 are False, any other int/float is True in boolean contexts.


              123456
            
# Basic numeric literals (no type checks or conversions here)
n_int = 42
n_float = 3.14
n_sci = 1e-3   # 0.001

print(n_int, n_float, n_sci)

Writing Large Numbers Readably

Humans often write 1,000,000 or 1 000 000. Python doesn't allow commas or spaces inside numeric literals, use underscores for readability.


              12
            
million = 1_000_000
print(million == 1000000)   # True

Note

Floats are stored as binary fractions, tiny rounding differences are normal (e.g., 0.1 + 0.2 may not be exactly 0.3). You'll handle rounding and formatting later.

Tudo estava claro?

Obrigado pelo seu feedback!

Seção 1. Capítulo 1

Compreensão dos Tipos Numéricos

Integer and Float Essentials

Writing Large Numbers Readably

1. What is the type of `1e2`?

2. Which literal is valid in Python code for one million?

3. Pick the true statement about `int` and `float`.

Compreensão dos Tipos Numéricos

Integer and Float Essentials

Writing Large Numbers Readably

1. What is the type of `1e2`?

2. Which literal is valid in Python code for one million?

3. Pick the true statement about `int` and `float`.

Compreensão dos Tipos Numéricos

Integer and Float Essentials

Writing Large Numbers Readably

1. What is the type of 1e2?

2. Which literal is valid in Python code for one million?

3. Pick the true statement about int and float.

Compreensão dos Tipos Numéricos

Integer and Float Essentials

Writing Large Numbers Readably

1. What is the type of 1e2?

2. Which literal is valid in Python code for one million?

3. Pick the true statement about int and float.

1. What is the type of `1e2`?

3. Pick the true statement about `int` and `float`.

1. What is the type of `1e2`?

3. Pick the true statement about `int` and `float`.