Course Content
Data Types in Python
Data Types in Python
Convert Types
At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.
For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.
First and foremost, take a look at the syntax of converting a number to the integer data type:
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
Note
It has a simple syntax,
int(number)
, but if we want to convert a string to an integer, this string should contain integer numbers in quotes, likeint("8990")
, notint("899.0")
.
Task
- Convert
variable1
to an integer. - Convert
variable2
to an integer. - Convert
variable3
to an integer.
I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔
Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄
Thanks for your feedback!
Convert Types
At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.
For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.
First and foremost, take a look at the syntax of converting a number to the integer data type:
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
Note
It has a simple syntax,
int(number)
, but if we want to convert a string to an integer, this string should contain integer numbers in quotes, likeint("8990")
, notint("899.0")
.
Task
- Convert
variable1
to an integer. - Convert
variable2
to an integer. - Convert
variable3
to an integer.
I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔
Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄
Thanks for your feedback!
Convert Types
At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.
For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.
First and foremost, take a look at the syntax of converting a number to the integer data type:
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
Note
It has a simple syntax,
int(number)
, but if we want to convert a string to an integer, this string should contain integer numbers in quotes, likeint("8990")
, notint("899.0")
.
Task
- Convert
variable1
to an integer. - Convert
variable2
to an integer. - Convert
variable3
to an integer.
I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔
Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄
Thanks for your feedback!
At times, Python may automatically assign a data type to a variable, which might not align with our intended choice. Hence, it is advantageous to possess the capability to exert control over the data type selection.
For instance, we can turn a number into a string, change the type of numerical data, or even use whichever number as a boolean data type. In this chapter, we are going to take care of converting numerical data types.
First and foremost, take a look at the syntax of converting a number to the integer data type:
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
Note
It has a simple syntax,
int(number)
, but if we want to convert a string to an integer, this string should contain integer numbers in quotes, likeint("8990")
, notint("899.0")
.
Task
- Convert
variable1
to an integer. - Convert
variable2
to an integer. - Convert
variable3
to an integer.
I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔
Note
A perfect number is an integer that is the sum of its positive proper divisors: 6 = 1+2+3. Our courses don't just help develop in programming.😄