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Data Types in Python
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Contenuti del Corso

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 StatementsPython Logical OperatorsChallenge: Boosting Logical SkillsChallenge: The Not StatementChallenge: Logical StatementsPriorities
3. Python String Manipulation
Print Your StringQuotation MarksString Indexing in PythonSlice 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
Converting: float()

Given that we have already acquired an understanding of the int() operation, it is unnecessary to reiterate the same information. The float() function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁


              
1234567

            
variable1 = 56
variable2 = "98.7"
variable3 = "5e4"

print(float(variable1))
print(float(variable2))
print(float(variable3))
copy

It seems to me that one fascinating feature of the float() function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).

Compito

Swipe to start coding

You should take everything with a grain of salt! Try to check the output of the statements that are given in the task. They should be clear for Python too. Just output the code.

NaN - values that were not defined

Soluzione

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Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 4. Capitolo 3
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book
Converting: float()

Given that we have already acquired an understanding of the int() operation, it is unnecessary to reiterate the same information. The float() function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁


              
1234567

            
variable1 = 56
variable2 = "98.7"
variable3 = "5e4"

print(float(variable1))
print(float(variable2))
print(float(variable3))
copy

It seems to me that one fascinating feature of the float() function should be noted. Not only can we represent regular numbers, but we can also represent concepts like infinity and Not a Number (NaN).

Compito

Swipe to start coding

You should take everything with a grain of salt! Try to check the output of the statements that are given in the task. They should be clear for Python too. Just output the code.

NaN - values that were not defined

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 4. Capitolo 3
Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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