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

Kursinhalt

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

book
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:

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").

Aufgabe

Swipe to start coding

In this exercise, you'll practice converting float values to integers.

  1. Convert variable1 to an integer and store the result in integer1
  2. Convert variable2 to an integer and store the result in integer2
  3. Convert variable3 to an integer and store the result in integer3

Once converted, you’ll have three interesting numbers! At the end of this chapter, you'll learn why each of these numbers is considered a "perfect number." 🤔

Lösung

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 desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 4. Kapitel 1
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book
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:

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").

Aufgabe

Swipe to start coding

In this exercise, you'll practice converting float values to integers.

  1. Convert variable1 to an integer and store the result in integer1
  2. Convert variable2 to an integer and store the result in integer2
  3. Convert variable3 to an integer and store the result in integer3

Once converted, you’ll have three interesting numbers! At the end of this chapter, you'll learn why each of these numbers is considered a "perfect number." 🤔

Lösung

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 desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 4. Kapitel 1
Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
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