Introduction to Boolean Data Type
Numeric Values in Boolean Type
In Python, any number except 0 is interpreted as True. Using only 0 and 1 helps avoid confusion when checking conditions.
Case Sensitivity
Python is case-sensitive, meaning True and False must be capitalized. Writing true or false will result in an error.
Boolean Operators
The operators >, <, !=, ==, <=, and >= are essential for making meaningful boolean statements. Without these symbols, boolean statements wouldn't serve any purpose.
Let's look at the example of simple boolean statements:
The following expressions return True:
1 > -5
6 != 3
8 <= 8
However, these expressions return False:
5 < -9
0 == 1
-890 >= 890
Swipe to start coding
Imagine you are an accountant and need to check several conditions for financial reports. Your task is to choose the correct operator from >, <, !=, ==, <=, >= to fill in the blanks ___ so that all expressions return False.
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Can you explain why nonzero numbers are considered True in Python?
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Introduction to Boolean Data Type
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Numeric Values in Boolean Type
In Python, any number except 0 is interpreted as True. Using only 0 and 1 helps avoid confusion when checking conditions.
Case Sensitivity
Python is case-sensitive, meaning True and False must be capitalized. Writing true or false will result in an error.
Boolean Operators
The operators >, <, !=, ==, <=, and >= are essential for making meaningful boolean statements. Without these symbols, boolean statements wouldn't serve any purpose.
Let's look at the example of simple boolean statements:
The following expressions return True:
1 > -5
6 != 3
8 <= 8
However, these expressions return False:
5 < -9
0 == 1
-890 >= 890
Swipe to start coding
Imagine you are an accountant and need to check several conditions for financial reports. Your task is to choose the correct operator from >, <, !=, ==, <=, >= to fill in the blanks ___ so that all expressions return False.
Рішення
Дякуємо за ваш відгук!
single