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Data Types in Python
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Contenu du cours

Data Types in Python

Data Types in Python

1. Getting Familiar With Numbers in Python
Understanding Numerical Data Types in PythonMutable or Immutable?Mastering Integer Numbers in PythonFundamentals of Basic Math Operations in PythonDeep Dive into Advanced Math Techniques in PythonChallenge: Time Calculation in PythonHow to Define a Type
2. Mastering Boolean Logic in Python
Introduction to Boolean Data TypeChallenge: Practice with Logical StatementsAnd, 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
Slicing 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).


              
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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.

Tâche

Swipe to start coding

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.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 3. Chapitre 7
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book
Slicing 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.

Tâche

Swipe to start coding

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.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 3. Chapitre 7
Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
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