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course content

Course Content

Data Types in Python

1. Getting Familiar With Numbers in Python

Numerical Data Type in GeneralMutable or Immutable?Integer NumbersCompulsory MathComplicated MathTime CalculationHow to Define a Type

2. True or False?

Introduction to Boolean Data TypeLogical StatementsAnd, Or, Not OperatorsBoost Your Logical SkillsDealing With Not StatementWork With 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 IndexSlicing 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

Data Types in Python

Convert TypesConvert 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:

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").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. Convert variable3 to an integer.

I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔

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.😄

Everything was clear?

Section 4. Chapter 1
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course content

Course Content

Data Types in Python

1. Getting Familiar With Numbers in Python

Numerical Data Type in GeneralMutable or Immutable?Integer NumbersCompulsory MathComplicated MathTime CalculationHow to Define a Type

2. True or False?

Introduction to Boolean Data TypeLogical StatementsAnd, Or, Not OperatorsBoost Your Logical SkillsDealing With Not StatementWork With 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 IndexSlicing 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

Data Types in Python

Convert TypesConvert 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:

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").

Task

  1. Convert variable1 to an integer.
  2. Convert variable2 to an integer.
  3. Convert variable3 to an integer.

I want to admit that you are going to get an attractive result: 3 perfect numbers. I'll explain what perfect numbers are at the end of chapter.🤔

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.😄

Everything was clear?

Section 4. Chapter 1
toggle bottom row
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