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Convert Types | Bring All the Topics Together
Data Types in Python
course content

Course Content

Data Types in Python

Data Types in Python

1. Getting Familiar With Numbers in Python
2. True or False?
3. Strings
4. Bring All the Topics Together

bookConvert 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:

1234567
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
copy

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, like int("8990"), not int("899.0").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. 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.😄

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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Section 4. Chapter 1
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bookConvert 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:

1234567
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
copy

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, like int("8990"), not int("899.0").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. 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.😄

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 1
toggle bottom row

bookConvert 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:

1234567
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
copy

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, like int("8990"), not int("899.0").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. 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.😄

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

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:

1234567
value1 = int(657.89) value2 = int(90e3) value3 = int("678") print(value1) print(value2) print(value3)
copy

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, like int("8990"), not int("899.0").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. 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.😄

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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