Comprensione dei Tipi Numerici
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 as2.5,3.14159,2.71828, or scientific notation like6.02e23; - Truthiness:
0and0.0areFalse, any otherint/floatisTruein 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.
12million = 1_000_000 print(million == 1000000) # True
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.
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.
Grazie per i tuoi commenti!
Chieda ad AI
Chieda ad AI
Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione
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?
Fantastico!
Completion tasso migliorato a 3.45
Comprensione dei Tipi Numerici
Scorri per mostrare il menu
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 as2.5,3.14159,2.71828, or scientific notation like6.02e23; - Truthiness:
0and0.0areFalse, any otherint/floatisTruein 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.
12million = 1_000_000 print(million == 1000000) # True
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.
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.
Grazie per i tuoi commenti!