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Data Types in Python
course content

Course Content

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

bookSlicing Task

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


              
123

            
string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)
copy

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

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Everything was clear?

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Section 3. Chapter 7
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bookSlicing Task

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


              
123

            
string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)
copy

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

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 3. Chapter 7
toggle bottom row

bookSlicing Task

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


              
123

            
string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)
copy

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

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!

Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at specified intervals. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).


              
123

            
string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)
copy

I want to elucidate the syntax string[starting_index : ending_index : step] to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of 4, signifying that every fourth symbol within this range has been included.

Task

Try to use slicing on a motivational quote from Friedrich Nietzsche. Extract all the symbols from index 1 to 13 with the step of 3.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 7
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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