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 Python Code:


 Area and perimeter of rectangle 

l=int(input("Length : "))

w=int(input("Width : "))

area=l*w

perimeter=2*(l+w)

print("Area of Rectangle : ",area)

print("Perimeter of Rectangle : ",perimeter)



To find Area and Perimeter of a Square


side = int (input ("Enter the side of a square: " ))

area = side*side #Formula for Area of square

perimeter = 4*side #Formula for Perimeter of square

print("Area of a square : ",area)

print("Perimeter of a square : ",perimeter)



Python program to find the 

area and perimeter of circle in python


# Initialising the value of PI

PI = 3.14

# Getting input from user

R = float(input("Enter radius of the circle: "))


# Finding the area and perimeter of the circle

area = (PI*R*R)

perimeter = (2*PI*R)


# Printing the area and perimeter of the circle 

print("The area of circle is", area)

print("The perimeter of circle is", perimeter)







 mylist = ["apple""banana""cherry"]

List

Lists are used to store multiple items in a single variable.

Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are TupleSet, and Dictionary, all with different qualities and usage.

Lists are created using square brackets:

thislist = ["apple""banana""cherry"]
print(thislist)

List Items

List items are ordered, changeable, and allow duplicate values.

List items are indexed, the first item has index [0], the second item has index [1] etc.


Ordered

When we say that lists are ordered, it means that the items have a defined order, and that order will not change.

If you add new items to a list, the new items will be placed at the end of the list.


Changeable

The list is changeable, meaning that we can change, add, and remove items in a list after it has been created.


Allow Duplicates

Since lists are indexed, lists can have items with the same value:

Lists allow duplicate values:

thislist = ["apple""banana""cherry""apple""cherry"]
print(thislist)


List Length

To determine how many items a list has, use the len() function:

Print the number of items in the list:

thislist = ["apple""banana""cherry"]
print(len(thislist))


List Items - Data Types

List items can be of any data type:

String, int and boolean data types:

list1 = ["apple""banana""cherry"]
list2 = [15793]
list3 = [TrueFalseFalse]


A list can contain different data types

A list with strings, integers and boolean values:

list1 = ["abc"34True40"male"]

What is the data type of a list?

mylist = ["apple""banana""cherry"]
print(type(mylist))






mytuple = ("apple""banana""cherry")

Tuple

Tuples are used to store multiple items in a single variable.

Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are ListSet, and Dictionary, all with different qualities and usage.

A tuple is a collection which is ordered and unchangeable.

Tuples are written with round brackets.

ExampleGet your own Python Server

Create a Tuple:

thistuple = ("apple""banana""cherry")
print(thistuple)
Try it Yourself »

Tuple Items

Tuple items are ordered, unchangeable, and allow duplicate values.

Tuple items are indexed, the first item has index [0], the second item has index [1] etc.


Ordered

When we say that tuples are ordered, it means that the items have a defined order, and that order will not change.


Unchangeable

Tuples are unchangeable, meaning that we cannot change, add or remove items after the tuple has been created.


Allow Duplicates

Since tuples are indexed, they can have items with the same value:

Example

Tuples allow duplicate values:

thistuple = ("apple""banana""cherry""apple""cherry")
print(thistuple)
Try it Yourself »

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Tuple Length

To determine how many items a tuple has, use the len() function:

Example

Print the number of items in the tuple:

thistuple = ("apple""banana""cherry")
print(len(thistuple))
Try it Yourself »

Create Tuple With One Item

To create a tuple with only one item, you have to add a comma after the item, otherwise Python will not recognize it as a tuple.

Example

One item tuple, remember the comma:

thistuple = ("apple",)
print(type(thistuple))

#NOT a tuple
thistuple = ("apple")
print(type(thistuple))
Try it Yourself »

Tuple Items - Data Types

Tuple items can be of any data type:

Example

String, int and boolean data types:

tuple1 = ("apple""banana""cherry")
tuple2 = (15793)
tuple3 = (TrueFalseFalse)
Try it Yourself »

A tuple can contain different data types:

Example

A tuple with strings, integers and boolean values:

tuple1 = ("abc"34True40"male")
Try it Yourself »

type()

From Python's perspective, tuples are defined as objects with the data type 'tuple':

<class 'tuple'>

Example

What is the data type of a tuple?

mytuple = ("apple""banana""cherry")
print(type(mytuple))
Try it Yourself »

Python Sets


myset = {"apple""banana""cherry"}

Set

Sets are used to store multiple items in a single variable.

Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are ListTuple, and Dictionary, all with different qualities and usage.

A set is a collection which is unorderedunchangeable*, and unindexed.

* Note: Set items are unchangeable, but you can remove items and add new items.

Sets are written with curly brackets.

ExampleGet your own Python Server

Create a Set:

thisset = {"apple""banana""cherry"}
print(thisset)
Try it Yourself »

Note: Sets are unordered, so you cannot be sure in which order the items will appear.


Set Items

Set items are unordered, unchangeable, and do not allow duplicate values.


Unordered

Unordered means that the items in a set do not have a defined order.

Set items can appear in a different order every time you use them, and cannot be referred to by index or key.


Unchangeable

Set items are unchangeable, meaning that we cannot change the items after the set has been created.

Once a set is created, you cannot change its items, but you can remove items and add new items.


Duplicates Not Allowed

Sets cannot have two items with the same value.

Example

Duplicate values will be ignored:

thisset = {"apple""banana""cherry""apple"}

print(thisset)
Try it Yourself »

Note: The values True and 1 are considered the same value in sets, and are treated as duplicates:

Example

True and 1 is considered the same value:

thisset = {"apple""banana""cherry"True12}

print(thisset)
Try it Yourself »

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Get the Length of a Set

To determine how many items a set has, use the len() function.

Example

Get the number of items in a set:

thisset = {"apple""banana""cherry"}

print(len(thisset))
Try it Yourself »

Set Items - Data Types

Set items can be of any data type:

Example

String, int and boolean data types:

set1 = {"apple""banana""cherry"}
set2 = {15793}
set3 = {TrueFalseFalse}
Try it Yourself »

A set can contain different data types:

Example

A set with strings, integers and boolean values:

set1 = {"abc"34True40"male"}
Try it Yourself »

type()

From Python's perspective, sets are defined as objects with the data type 'set':

<class 'set'>

Example

What is the data type of a set?

myset = {"apple""banana""cherry"}
print(type(myset))
Try it Yourself »

Python Dictionaries


thisdict = {
  "brand""Ford",
  "model""Mustang",
  "year"1964
}

 Operators are used to perform operations on variables and values.

In the example below, we use the + operator to add together two values:

print(10 + 5)

Python divides the operators in the following groups:

  • Arithmetic operators
  • Assignment operators
  • Comparison operators
  • Logical operators
  • Identity operators
  • Membership operators
  • Bitwise operators

Python Arithmetic Operators

Arithmetic operators are used with numeric values to perform common mathematical operations:

OperatorNameExampleTry it
+Additionx + yTry it »
-Subtractionx - yTry it »
*Multiplicationx * yTry it »
/Divisionx / yTry it »
%Modulusx % yTry it »
**Exponentiationx ** yTry it »
//Floor divisionx // yTry it »

% -Will return the remainder

**-will return the exponential of the value
return the remainder
of t

Python Assignment Operators

Assignment operators are used to assign values to variables:

OperatorExampleSame AsTry it
=x = 5x = 5Try it »
+=x += 3x = x + 3Try it »
-=x -= 3x = x - 3Try it »
*=x *= 3x = x * 3Try it »
/=x /= 3x = x / 3Try it »
%=x %= 3x = x % 3Try it »
//=x //= 3x = x // 3Try it »
**=x **= 3x = x ** 3Try it »
&=x &= 3x = x & 3Try it »
|=x |= 3x = x | 3Try it »
^=x ^= 3x = x ^ 3Try it »
>>=x >>= 3x = x >> 3Try it »
<<=x <<= 3x = x << 3Try it »

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Python Comparison Operators

Comparison operators are used to compare two values:

OperatorNameExampleTry it
==Equalx == yTry it »
!=Not equalx != yTry it »
>Greater thanx > yTry it »
<Less thanx < yTry it »
>=Greater than or equal tox >= yTry it »
<=Less than or equal tox <= yTry it »

Python Logical Operators

Logical operators are used to combine conditional statements:

OperatorDescriptionExampleTry it
and Returns True if both statements are truex < 5 and  x < 10Try it »
orReturns True if one of the statements is truex < 5 or x < 4Try it »
notReverse the result, returns False if the result is truenot(x < 5 and x < 10)Try it »

Python Identity Operators

Identity operators are used to compare the objects, not if they are equal, but if they are actually the same object, with the same memory location:

OperatorDescriptionExampleTry it
is Returns True if both variables are the same objectx is yTry it »
is notReturns True if both variables are not the same objectx is not yTry it »

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