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Data Types in Python
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Data Types in Python

Data Types in Python

1. Getting Familiar With Numbers in Python
Numerical Data Type in GeneralMutable or Immutable?Integer NumbersCompulsory MathComplicated MathChallenge: Time CalculationHow to Define a Type
2. True or False?
Introduction to Boolean Data TypeChallenge: Comparison OperatorsAnd, Or, Not OperatorsChallenge: Boosting Logical SkillsChallenge: The Not StatementChallenge: Logical StatementsPriorities
3. Strings
Print Your StringQuotation MarksGet Acquainted With IndexationSlice the WordNegative IndexationSlice the PhraseSlicing TaskHow to Find the String LengthGet the Index of the SymbolFind the Word IndexChallenge: Slicing with Index FunctionIs String Mutable?Merge Strings
4. Bring All the Topics Together
Convert TypesUseful ConvertingConverting: float()Converting: bool()Converting: str()Math in StringsCompare Strings

book
Useful Converting

The int() function can be useful if you're working with numerical data. For instance, imagine that we have a lot of numbers that need to be modified, but all of them have a string data type. This code leads to an error:


              
1234

            
value = "123"
new_value = value + 10

print(new_value)
copy

Here, Python tries to concatenate the strings, but indeed its functionality doesn't allow it to do so, since 10 is related to the integer data type (concatenation can be applied only to strings).

To correctly sum these numbers, you should initially transform the string into an integer using int() function:


              
1234

            
value = "123"
new_value = int(value) + 10

print(new_value)
copy
Aufgabe

Swipe to start coding

Hence, your objective in this context is to address this issue. Consider a scenario where you have three price values, but an individual lacks the proficiency to manipulate data in a numerical format. Consequently, you are required to handle prices associated with the string data type.

  1. Increase price1 by 15 and store the result in new_price1
  2. Increase price2 by 780 and store the result in new_price2
  3. Decrease price3 by 90 and store the result in new_price3

Lösung

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 2
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book
Useful Converting

The int() function can be useful if you're working with numerical data. For instance, imagine that we have a lot of numbers that need to be modified, but all of them have a string data type. This code leads to an error:


              
1234

            
value = "123"
new_value = value + 10

print(new_value)
copy

Here, Python tries to concatenate the strings, but indeed its functionality doesn't allow it to do so, since 10 is related to the integer data type (concatenation can be applied only to strings).

To correctly sum these numbers, you should initially transform the string into an integer using int() function:


              
1234

            
value = "123"
new_value = int(value) + 10

print(new_value)
copy
Aufgabe

Swipe to start coding

Hence, your objective in this context is to address this issue. Consider a scenario where you have three price values, but an individual lacks the proficiency to manipulate data in a numerical format. Consequently, you are required to handle prices associated with the string data type.

  1. Increase price1 by 15 and store the result in new_price1
  2. Increase price2 by 780 and store the result in new_price2
  3. Decrease price3 by 90 and store the result in new_price3

Lösung

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 2
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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