Python Concatenating two Tuples and using sum function- max() and min() functions

 #Concatenating two Tuples:

tup1 = (1, 2, 7,3, 4, 5)

tup2 = (3, 4, 5, 6, 7)

# concatenate tuples using + operator

tup3 = tup1 + tup2

print(tup3)

output:

(1, 2, 7, 3, 4, 5, 3, 4, 5, 6, 7)

sum() function

We can also use the Python built-in function sum to concatenate two tuples.

tup1 = (1, 2, 7,3, 4, 5)

tup2 = (3, 4, 5, 6, 7)

tup3=sum((tup1,tup2),())

print(tup3)

#(1, 2, 7, 3, 4, 5, 3, 4, 5, 6, 7)

#nested uples

nestedtuple = ((20, 40, 60), (10, 30, 50), "Python")

print(nestedtuple[2][0])  

for i in nestedtuple:

    print("tuple", i, "elements")

    for j in i:

        print(j, end=", ")

    print("\n")

output:

P

tuple (20, 40, 60) elements

20, 40, 60, 

tuple (10, 30, 50) elements

10, 30, 50, 

tuple Python elements

P, y, t, h, o, n, 

#built-in functions with tuple min() and max():

tup1 = ('xyz', 'zara', 'abc')

print(max(tup1))  

print(min(tup1))

tup2 = (11, 22, 10, 4)

print(max(tup2))

print(min(tup2))

output:

zara

abc

22

4

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Adding and changing elements in a tuple using insert() and append methods

 Adding and changing elements in a tuple using insert and append:

A list is a mutable type, which means we can add or modify values in it,

but tuples are immutable, so they cannot be changed.

#how to add new element in tuple object using index based

tup=(6,75,66,34,23)

print(tup) #print all tuple elements

newlist=list(tup) #tuple to list convert

newlist.insert(2,40) #add new element in list

tup=tuple(newlist) #convert list to tuple

print(tup) #print all elements in tuple

output:

(6, 75, 66, 34, 23)

(6, 75, 40, 66, 34, 23)

#how to add new element in tuple object using apped() method

tup=(6,75,66,34,23)

newlist=list(tup)

newlist.append(22)

tup=tuple(newlist)

print(tup)

output:

(6, 75, 66, 34, 23, 22)

#Modify nested items of a tuple:

then we can change its values in the case of a nested tuple.

Ex:

tuple1 = (10, 20, [25, 75, 85])

print(tuple1)

tuple1[2][0] = 250

print(tuple1)

output:

(10,20,[250,75,85])

    

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Python tuple positive indexing or forward indexing and native indexing or backward indexing

Python tuple positive indexing or forward indexing  and native indexing or  backward indexing 

Positive index      0      1        2       3        4       5

    

                               90     50     30     20     99    10

Native index        -6      -5      -4      -3      -2      -1 

#accessing elements in python tuple indexing number and slicing

#python tuple positive indexing or forward indexing stat with 0 end with n-1

tuple=(40,70,12,23,78,"ram",45.77,78)

print(tuple)           #print all elements in tuple

print(tuple[3])      #print 3rd index element in tuple

print(tuple[1:4])  #print 1st index element to 4rd index element

print(tuple[:5])    #print 0 index elements to 5th index element

print(tuple[2:])    #print 2rd index elements to end of the tuple elements

#python tuple backward indexing or native indexing

print(tuple[-1]) #

print(tuple[-5:-1])

      

#iterate a tuple using positive indexing

pytuple=('d','j','a','n','g','o')

print(pytuple) #print all elements in tuple

for x in range(4):#range function stat with 0 to end 4

    print(pytuple[x])#x is iterate varaible it will print every time singlevalue

# iterate a tuple using negative indexing

pytuple=('d','j','a','n','g','o')

for x in range(-6,0): #print native indexing -6 index to before 0 index

    print(pytuple[x])

#how to check if an item exists or not in tuple elements

x=(45,89,34,55,'ram',90)

print(34 in x) #it is only for True or False 

#or

if(34 in x):

    print("34 is in x element")

else:

    print("34 is not in x element")

   

#python tuple length function

tuple=(56,23,44,89,12,'welcome')

print(tuple)

print(len(tuple))  

Python tuple packing and unpacking - Python coding

Python tuple packing and unpacking

python tuple can also be created without using a tuple() class or enclosing the

items inside the parentheses. it is called the variable packing

#python tuple packing into tuple

tuple=23,44,66,'django'

print(tuple)

print(type(tuple))

#unpacking tuple into variable

a,b,c,d=tuple

print("a is =",a)

print("b is =",b)

print("c is =",c)

print("d is =",d)

print(type(a))

print(type(b))

print(type(c))

print(type(d))

output : 

(23, 44, 66, 'django')

<class 'tuple'>

a is = 23

b is = 44

c is = 66

d is = django

<class 'int'>

<class 'int'>

<class 'int'>

<class 'str'>

Python tuples - tuple datatype in python

Python tuples - tuple datatype in python  

python tuples are ordered it can store variables of all types that are unchangeable

creating tuple in two ways

using parenthesis()

A tuple is created by enclosing comma separated elements inside rounded brackets.

python tuple characteristics:

    Ordered : tuples are part of sequence data types

    Unchangeable : tuple are unchangeble, we cannot add or delete element

    Heterogeneous : means different datatypes

Create a tuple using the two ways:

#Using parenthesis ()

tuple=(56,77,88,78,23)

print(tuple)

print(type(tuple))

output :

(56,77,88,78,23)

#Using a tuple() constructor

x=tuple((56,88,99,34.77,83))

print(x)

print(type(x))

output:

((56,88,99,34.77,83))

#Heterogeneous  type tuple elements and nested tuple

sampletuple = ('ram',44,45.65,[23,25, 78])

print(sampletuple)

output:

 ('ram',44,45.65,[23,25, 78])

Concatenation of two lists elements - list extend and copy methods

 #Concatenation of two lists elements

mylist1=[34,55,66,77,'krishna']

mylist2=[56,77,33,44]

mylist3=mylist1+mylist2

print(mylist3)

output:

[34, 55, 66, 77, 'krishna', 56, 77, 33, 44]

#using extend method

mylist1.extend(mylist2) # adding second list to first list

print(mylist1) 

outpput:

[34, 55, 66, 77, 'krishna', 56, 77, 33, 44]               

#copy one list to another list useing copy() method

mylist=[45,66,33,44,77]

newlist=mylist.copy() # copy list elemetns mylist to newlist

print(newlist)

output:

[45, 66, 33, 44, 77]

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How to Adding and changing items in a Tuple-Modify nested items of a tuple:

 #how to Adding and changing items in a Tuple

tup = (0, 1, 2, 3, 4, 5)

slist = list(tup)

slist.append(6)

tup = tuple(slist) # converting list back into a tuple

print(tup)  

#Modify nested items of a tuple:

tup = (10, 20, [25, 75, 85])

print(tup)

tup[2][0] = 250

print(tup)

Remove image background using python rembg module

 #remove image background using python rembg module

from rembg import remove

from PIL import Image

input_path='lists.png'  #old image path

output_path='lists-1.png' #new image path

inp=Image.open(input_path)

output=remove(inp)

output.save(output_path)

Note:first install rembg module using cmd

pip install rembg

rembg install only 3.8 later versions

remove specific element in python list - remove index based element

 

#remove specific element in python list

list=list([34,55,34,66,77,45.6,23,34,])

print(list)

list.remove(66)

print(list)

output:

[34, 55, 34, 66, 77, 45.6, 23, 34]

[34, 55, 34, 77, 45.6, 23, 34]

#Remove all occurrence of a specific python repeated element

mylist = list([26, 4, 26, 26, 8, 12])

for item in mylist:

    mylist.remove(26)

print(mylist)

output : 

[4,8,12]

#remove item present at given index

mylist = list([2, 4, 6, 8, 10, 12])

mylist.pop(2)  #remove 2 index based element

print(mylist)

output: 

[2, 4, 8, 10, 12]

# remove item without passing index number(last value remove) using pop()

mylist = list([2, 4, 6, 8, 10, 12])

mylist.pop()  

print(mylist)

output :

[2, 4, 6, 8, 10]

[2, 4, 8, 10]

#remove the range of elements python list with slice:

mylist = list([2, 4, 6, 8, 10, 12])

#remove item from index 2 to 5

del mylist[2:5]

print(mylist)

output:

[2, 4, 12]

#remove all items starting from index 2

mylist=list([23,44,55,34,53,78,55])

del mylist[2:]

print(mylist)

output:

[23,44]

#remove entair list using del keyword

mylist=list([23,44,55,34,53,78,55])

del mylist

print(mylist)

output:

mylist is not found 

How to add new element in python list using insert() extend() append() methods

 How to add new element in python list :

list methods:

insert():insert method to add the object/element at the specified position in the list,insert method accepts two parameters position and object

syntax:

insert(index,object)

Ex:

list=[30,50,60,70,80]

list.insert(3,55)

print(list)

list.insert(3,[45,66,77]) #nested index

print(list)

output:[30,50,60,55,70,80]

[30,50,60,[45,66,77],80]

extend() or append() :

extend method will accept the list of elements and add them at the end of the list

Ex:

#using extend or append

mylist = list([5, 87, 'ravi', 3.50])

mylist.extend([25, 75, 10]) 

print(mylist)

output:[5, 87, 'ravi', 3.50,25, 75, 10]

#using extend or append

mylist = list([5, 87, 'ravi', 3.50])

mylist.append([25, 75, 10])  #append add new elements to nested index

print(mylist)

output:[5, 87, 'ravi', 3.50,[25, 75, 10]]

Modify:Modify the individual item,  Modify the range of items.

Ex:

mylist = list([5, 10, 20, 30])

mylist[2]=90 #single element modified

print(mylist)

output:[5, 10, 90, 30]

 #modify from 1st index to 3th

mylist[1:3]=[56,88,99] 

print(mylist)

output:[5, 56, 88, 99, 30]

#modify from 2rd index to end

mylist[2:]=[34,55,66,77]

print(mylist)

output:[5, 56, 34, 55, 66, 77]

#modify all items

mylist=list([5,10,20,30])

for x in range(len(mylist)):

    sqr=mylist[x]*mylist[x]

    mylist[x]=sqr

print(mylist)

output:[25, 100, 400, 900]

Accessing elements of a python List - python list element slicing

 #Accessing elements of a List:

we can access any item from a list using its index number

forward index stat with 0 end with n-1

negative indexing stat with -1

# accessing 2nd element of the list

Ex:

mylist = [10, 20, 'ram', 12.50, 'ravi']

print(mylist[1])  

output: 20

#Negative Indexing:

# accessing last element of the list

mylist = [10, 30, 'ram', 12.50, 'praveen']

print(mylist[-1])

python list element slicing:

syntax for list slicing.

listname[startindex : endindex : step]

Ex:

mylist = [10, 20, 'ram', 12.50, 'prasad', 25, 50]

print(mylist[1:4])

print(mylist[:3])     

print(mylist[::2])    

print(mylist[::-2])  

print(mylist[2:])   

Note :

# slice 1 index from before 4th index element

 # slice first three elements

# with a skip count 2

# reversing the list

 # Stating from 2nd item to last item

#Iterating a List : The objects in the list can be iterated over one by one, by using a for loop

Ex:

mylist = [15, 22, 'mohan', 7.50, 'rani']

for x in mylist:

    print(x)

output:

15

22

mohan

7.50

rani

    

python list heterogeneous items and python len() function

 The list data structure is very flexible It has many unique inbuilt functionalities

Different methods of creating a list, adding, modifying, and deleting elements in the list. Also, learn how to iterate the list and access the elements in the list in detail.

The following are the properties of a list.

Mutable: The elements of the list can be modified. We can add or remove items to the list after it has been created.

Ordered: The items in the lists are ordered.

Heterogeneous: The list can contain different kinds of elements.i.e; they can contain elements of string, integer, boolean, or any type.

Duplicates: The list can contain duplicates i.e., lists can have two items with the same values.

Ex:

mylist=[89,44,55,22,90]

print(mylist)

print(type(mylist))

output:89,44,55,22,90

#Using list() constructor: In general, the constructor of a class has its class name.

mylist=list([34,55,66,77,23])

print(mylist)

ouput:34,55,66,77,23

# list heterogeneous items

mylist = [1.0, 'ram', 30,50,77,'krishna']

print(mylist)

output:1.0, 'ram', 30,50,77,'krishna'

#list functions

#list length function-In order to find the number of items present in a list, we can use the len() function.

mylist = [31, 42, 23,98]

print(len(mylist))

output:31,42,23,98

Python Opps Concepts: class and Object - Class and Objects in Python

Python Opps: class and Object

Python Opps Concepts : Class and Object

What is a Class and Objects in Python?

Class: The class is a user-defined data structure that binds the data members and methods into a single unit. Class is a blueprint or code template for object creation. Using a class, you can create as many objects as you want

Object: An object is an instance of a class. It is a collection of attributes (variables) and methods. We use the object of a class to perform actions. 

#print name and age input from user using python object and class 

EX:

class person:

    name=input("enter name")

    age=input("enter age")

    def __init__(self,name,age):

        self.name=name

        self.age=age

    def greet(self):

        #print("name ",self.name,"age",self.age)

        print(f"{self.name} is {self.age} years old")

a=person(person.name,person.age)

a.greet()

Python DataType Conversion Boolean value to an integer - Python integer to float datatype conversion

 

Python Datatype Conversion

 

#Python DataType Conversion Boolean value to an integer

flagtrue = True

flagfalse = False

print(type(flagtrue))

num1 = int(flagtrue)

num2 = int(flagfalse)

print("Integer number 1:", num1)

print(type(num1)) 

print("Integer number 2:", num2)

print(type(num2))

Output:

<class 'bool'>

Integer number 1: 1

<class 'int'>

Integer number 2: 0

<class 'int'>

#Python  integer to float datatype conversion

num = 725

print(type(num))

num1 = float(num)

print("Float number:", num1)

print(type(num1))

Output:

<class 'int'>

Float number: 725.0

<class 'float'>

python float datatype - assigning a float value to a variable - floating-point value using float() class

 float datatype

python float datatype

we can declare float variable in two ways

1)Directly assigning a float value to a variable

2)Using a float() class.

#Directly assigning a float value to a variable

intrest=1250.80

print("intrest is ",intrest)

print(type(intrest))

output:

    1250.80

# store a floating-point value using float() class

num = float(54)

print(num)

print(type(num))

output:

    54.0

Typecasting or type conversion in python - float to int datatype conversion

Python Type Conversion and Type Casting

 We can convert one type of variable to another type. This conversion is called type casting or type conversion.

int(): convert any type variable to the integer type.

float(): convert any type variable to the float type.

complex(): convert any type variable to the complex type.

bool(): convert any type variable to the bool type.

str(): convert any type variable to the string type.

#Type Casting float value to an integer

float(): convert any type variable to the float type. 

Ex

pi = 3.14 

print(type(pi)) 

num = int(pi) 

print("Integer number:", num)

print(type(num))

Python Complex Datatypes

Python Complex Datatypes 

 

A complex number is a number with a real and an imaginary component represented as a+bj where a and b contain integers or floating-point values.

# both values are int type

a = 9 + 8j          

print(a)     

print(type(a))

# one int and one float values

b = 10 + 4.5j       

print(b)      

print(type(b))

# both values are float type

c = 11.2 + 1.2j     

print(c)

print(type(c))

python int()class - Binary-Octal-Hexadecimal-Decimal also integer Datatypes

#store integer using int() class

#variable declaration with value assigning using int() class or contractor 

empid = int(25)

print(empid)  

print(type(empid))  

output : 25

<class : int>

You can also store integer values other than base 10 such as

Binary (base 2- 0,1)

Octal (base 8 - 0,1,2,3,4,5,6,7)

Hexadecimal numbers (base 16 - 0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F)

Decimal(10 - 0,1,2,3,4,5,6,7,8,9)

Octal :

octnum=0o10

print(octnum)

print(type(octnum))

output:

8

<class 'int'>

Hexadecimal Numbers : 

hexanum=0x10

print(hexanum)

print(type(hexanum))

Output:

16

<class 'int'>

Binary:

binanum=0b10

print(binanum)

print(type(binanum))

Output:

2

<class 'int'>

Datatypes in Python - int,float,complex,boolean,set,dictionary,Sequence: String, list, and tuple

Datatypes in Python

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. 

There are mainly Five types of basic/primitive data types available in Python

Numeric: int, float, and complex

Bool:true,false

Sequence: String, list, and tuple

Set

Dictionary (dict)

int datatype :

# single variable declaration with value assigning 

Ex:

x=50

print(x)

# multi variable declaration with value assigning

Ex:

x,y=90,60

print(x)

print(y)

# int variable declaration input from user  using input function

Ex:

x=int(input("enter x value"))

print(x)

print(type(x)) # display the datatype of x variable value

#enter input value 

50

output:

50

<class : int>

# Variable declaration input from user without using input function

roll_no=input("enter rollnumber")

print(roll_no)

print(type(roll_no))

input : enter roll_no 

101

output:

101

<class : str> #python default datatype string

Types of Comments in Python - Creating a Comment

 Types of Comments in Python

Two types of comments in python

  Creating a Comment

  single line Comments starts with a #, and Python will ignore them:

   #print("Welcome to Training Center")

  Multi-Line Comments starts with

  """

  This is a comment

  written in

    more than just one line

   """

  Ex:

  #print('welcome to python single line comments')

  x=90

  print("x value is =",x)

  output : x value is = 90

 Ex: Multi-line Comments 

  """ 

  print('Basic python programming language')

  print("Web Designing and Web Development")  """

  print(""" Mobile App Designing and Development""")

  print("Python Frameworks : Django,Flask")

 output:  Mobile App Designing and Development, Python Frameworks : Django,Flask

The placeholders can be identified using named indexes {name}, numbered indexes {0}, or even empty placeholders {}.

 #Format Output String by its positions

#The placeholders can be identified using named indexes {name},

numbered indexes {0}, or even empty placeholders {}.

firstname = input("Enter First Name ")

lastname = input("Enter Last Name ")

organization = input("Enter Organization Name ")

print('{0}, {1} works at {2}'.format(firstname, lastname, organization))

print('FirstName {0}, LastName {1} works at {2}'.format(firstname, lastname, organization))

Python input() and print() functions

 Python input() and print() functions

Two built-in functions to handle input from a user and system.

input(prompt): To accept input from a user. user enter input from keyboard

print():print function is used To display output on the console/screen.

Ex:

# take three values from user

name = input("Enter Employee Name: ")

salary = int(input("Enter salary: "))

company = input("Enter Company name: ")

# Display all values on screen

print("Printing Employee Details")

print("Name   Salary   Company")

print(name,'\t',salary,'\t',company)

How to check the length of the elements in python list object

# How to check the length of the elements in python list object using len() function

Length of a List

In order to find the number of items present in a list, we can use the len() function.

Ex:

list=[20,33,44,55,"ramesh","rani",56.88]

print(len(list))

# print secod index to upto end of the list values using len() function

Ex:

list=[20,33,44,55,"ramesh","rani",56.88]

for x in range(2,len(list)):

    print(list[x])

Iterating a List Object Values in Python

 # Iterating a List Object Values in Python :

# The objects in the list can be iterated over one by one, by using a for loop

Ex:

courses=["python","Django","Flask","Pyspark"]

for x in courses:

    print(x)

# Iterate along with an index number:

Ex:

mylist = [5, 8, 'ram', 7.50, 'ravi']

for i in range(2, len(mylist)):

     print(mylist[i])

Python list datatype

 python list datatype:

list is a flexible, versatile, powerful, and popular built-in data type.

store multiple values in single variable and different datatypes

we can use list datatype in two ways

one is direct list variable

ex:

mylist=[10,20,40,50,90]

print(mylist)

second one is

list() constructor its class name

ex:

mylist=list([10,30,40,60,90])

print(mylist)

list heterogeneous items

heterogeneous means group of datatypes

Ex:

mylist = [10, 20, 'ram', 12.50, 'praveen', 25, 50]

print(mylist)

what is Framework

 Frame work : framework are software that is developed  and used by developers to build applications
Web framework : if is a software framework that is designed to supported the development of web applications including
web services
web resources
web API's