Multiple Assignment and Data types

 

Multiple Assignment: Python programming language allow, you to declaration of multiple variable and its assign multiple value to the variables. 

For Example:

            X=y=z=10

Here, an integer object is created with the value 10, and all three variables are assigned to the same memory location. You can also assign multiple objects to multiple variables.

            x,y,z = 25,35,”Ramakant”

Here, two integer objects with values 1 and 2 are assigned to variables x and y respectively, and one string object with the value "Ramakant" is assigned to the variable z.

For Example: Write a program demonstrates the use of variable.

a = 55  #here a is variable of integer type

b = 35

c = a + b

print("Addition of two Number is=",c)

welcome = "Welcome"   #here welcome is string variable

aryan = " Aryan Computers, Barshi"

welcome = welcome + " to " + aryan

print(welcome)

Output:

This is how you cast one variable type into another. Most of the other variable types you typically wouldn't want to cast to.  These are following a few of the important variable types in Python:

• int(variable) - casts variable to integer
• str(variable) - casts variable to string
• float(variable) - casts variable to float (number with decimal)
  

Basic Data Types:

The Data types is used to store data. When user need to store the information inside computer that time data types play important role.   The data stored in memory can be of many types. For example, a person's age is stored as a numeric value and his or her address is stored as alphanumeric characters. Python has various standard data types that are used to define the operations possible on them and the storage method for each of them.

In Python programming, we not need to declare any data type while declaring a variable like C or C++. We can simply just assign values to the variable.

 These are the following different data types used in python-

Number:

This data types is used to store numeric values, including positive and negative number.  Number objects are created when you assign a value to them. Integers, floating point numbers and complex numbers to come under python numbers category. 

Any number you enter in Python will be interpreted as a number, you are not required to declare what kind of data type you are entering. Python programming will consider any number written without decimals as an integer (as in 459) and any number written with decimals as a float (as in 5.20).

 

Integers: This data types is used to input whole integer number. Like in math, integers in computer programming are whole numbers, which can be positive or negative. An integer can also be known as an int. we cannot use commas within numbers.

Floating-Point Numbers: A floating-point number or a float is a real number, meaning that it can be either a positive or negative number. Because of this, floating-point numbers can be numbers that can contain a fractional part, such as 5.30 or -10.44.

Complex Number: Complex numbers have a real and imaginary part, which are each implemented using double in python programming. 

For Example: Write a program to demonstrate use of various data types.

a = 90

print(a, " is of type", type(a))

a = 2.90

print(a, "is of type", type(a))

a = 9+2j

print(a, "It is complex number", isinstance(9+2j,complex))

Output:

String: Strings are identified as a contiguous set of characters represented in the quotation marks. Python programming allows for either pairs of single or double quotes. Strings can be created by enclosing characters inside a single quote or double quotes. Even triple quotes can be used in Python but generally used to represent multiline strings. The plus (+) sign is the string concatenation operator and the asterisk (*) is the repetition operator.

For Example: Write a program to demonstrate the use of sting data type.

# This is program for stings, all of the following are equivalent

s1 = 'BCA-I'

print(s1)

 s2 = "BCA-II"

print(s2)

 s3 = '''BCA-III''

print(s3)

# triple quotes string can extend multiple lines

s3 = """Hello, welcome to

           Aryan Computers, Barshi"""

print(s3)

 Output:

# Write a program to demonstrate the use of repatriation string.

s1 = ("Aryan" '  ') * 7      #Here S1 is a variable assigned value print seven time

print("Repeat the string :",s1)

Output:

List:  Lists are used to store multiple items in a single variable name. Python offers a range of compound data types often referred to as sequences. List is one of the most frequently used and very versatile data type used in Python.

For Example: Write a program to demonstrate the use of list

list1 = ["c", "c++", "Core Java", "C#"]  #Here list1 is name of the list

print("List is:",list1)

Output:

Tuple: Tuples are used to store multiple items in a single variable. A tuple is a collection which is ordered and unchangeable. In Python programming, a tuple is similar to a list. The difference between the two is that we cannot change the elements of a tuple once it is assigned whereas in a list, elements can be changed.

Set: Sets are used to store multiple items in a single variable. A set is a collection which is unordered, unchangeable*, and unindexed. A set is an unordered collection of items. Every element is unique (no duplicates) and must be immutable (which cannot be changed). However, the set itself is mutable. We can add or remove items from it. Sets can be used to perform mathematical set operations like union, intersection, symmetric difference etc.

Dictionary: Python dictionary is an unordered collection of items. While other compound data types have only value as an element, a dictionary has a key: value pair. Dictionaries are optimized to retrieve values when the key is known.

Dictionaries are used to store data values in key:value pairs.Dictionaries are written with curly brackets, and have keys and values.

For Example: Write a program to demonstrate the use of list

d1 = {"1": "Sunday", "2": "Monday", "3": "Tuesday"}

print(d1)

Output:

Boolean: Booleans are either true or false. This is used to assign Boolean values directly. Expressions can also evaluate to a Boolean value. In certain places (like if statements), Python expects an expression to evaluate to a Boolean value. These places are called Boolean contexts. You can use virtually any expression in a Boolean context, and Python will try to determine its truth value. Different data types have different rules about which values are true or false in a Boolean context.

Many operations in math give us answers that evaluate to either true or false:

• Greater than

• 500 > 100        =True
• 1 > 5                =False
• Less than
• 200 < 400        =True
• 4 < 2                =False
• Equal
• 5 = 5                 =True
• 500 = 400        =False

 

For Example: Write a program to demonstrate the use of Boolean data type.

a=5>10

print(a)

Output: