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Software Jobs - Web Developer jobs in Andhra Pradesh, Rajahmundry,  Openings: Web Developer  Qualification: BE,Btech,MCA,MSC Experience: 1-5 years Requirements: Should have good experience as a PHP Application developer Hands on Experience in developing the application using MVC architecture. Good to have knowledge in MySQL, Codeignitor, Zend, CakePHP, Joomla, Magneto and Laravel is a plus. Have experience with REST API, JSON, and SOAP. Expertise in HTML5, CSS, Bootstrap, jQuery, Ajax. Experience in taking ownership of product delivery, code quality and architecture. Should be proactive, goal-oriented, reliable and a have a self-structured way of working. Responsibilities: Creating website layout/user interfaces by using standard HTML/CSS practices. Designing well organized databases. Integrating data from various back-end services and databases Be involved in al...

Web Designer jobs in Visakhapatnam and Andhrapradesh  We are looking for good Web Designer Experience Required : Min 1 Year Job Rols and Responsibulites Web Designer Responsibilities: Conceptualizing creative ideas with clients. Testing and improving the design of the website. Establishing design guidelines, standards, and best practices. Maintaining the appearance of websites by enforcing content standards. Designing visual imagery for websites and ensuring that they are in line with branding for clients. Working with different content management systems. Communicating design ideas using user flows, process flows, site map Incorporating functionalities and features into websites. Designing sample pages including colors and fonts. Preparing design plans and presenting the website structure. Skills: Adobe Photoshop,Dreamweaver,HTML,CSS3,Jquery,Java scripts good,Bootstrap. No.Of Vacancies : 2 Vacancies Work Location : Visakhapatnam Company Website : http://www.thecolourmoon.com/ Phon...

  Urgent opening for Python, Django  Trainer| Location Guntur and Vijayawada Company name :  PRAGYATMIKA Work Location :  Guntur Work from office EXP :  2-5 yrs Immediate Joiner Required Role : Trainer Need qualified persons who can train freshers, prepare curriculum, modules, schedules etc. In short, the incumbent should be well versed with the complete aspects of imparting training. Basic job responsibilities : - We are looking for an enthusiastic Technology Trainer to train and mentor people on Python, Django, Open CV, Numpy, Machine Learning Basics, Data Analytics, etc. You will develop technical training programs and help others develop skills that will make them better professionals in this field. - Technical trainers must be extremely knowledgeable in their field of expertise and possess solid technical aptitude. - Additionally, we expect you to be an excellent communicator, able to explain complex subjects in a clear and interesting way. Skill and abilit...

  #Modify the values of the dictionary keys: employee={"empid":101,"empname":"ramesh","salary":45000,"jobdesc":"developer"} print(employee) #print all key values in dictionary employee["jobdesc"]="Software" print(employee) employee.update({"compnayname":"google","address":"KPHB Colony"}) print(employee) #update more than one pair or item #Remove items from the dictionary pop(key[,d]) : Return and removes the item with the key and return its value. If the key is not found, it raises KeyError. employee={"empid":101,"empname":"ramesh","salary":45000,"jobdesc":"developer"} deleted_item=employee.popitem() #remove last inserted item from the dictionary print(deleted_item) # print deleted item print(employee) #print remaining itens in dictionay # Remove key 'jobdesc' from the dictionary deleted_item = empl...

Matplotlib  is a comprehensive  library  for creating static, animated, and interactive visualizations in  Python . Matplotlib  is a plotting library for  Python . It is used along with  NumPy  to provide an environment that is an effective open source alternative for MatLab. how to install Numpy and Matplotlib library cmd: c:/> pip install numpy c:/>pip install matplotlib import numpy as np import matplotlib.pyplot as plt a=[0,1,2,3,4,6,7,8] b=[0,3,5,7,9,11,13,15] plt.plot(a,b) plt.show()

  #Spelling Correction with Python  # how to check spelling correction in python using textblod from textblob import TextBlob def Convert(string):     li=list(string.split())     return li str1=input("enter your word:") words=Convert(str1) corrected_words=[] for i in words:     corrected_words.append(TextBlob(i)) print("wrong words?",words) print("Corrected words are") for i in corrected_words:     print(i.correct(),end="") #python coding, #python spelling correction module, #python training, #python textblob,

Python Accessing elements of dictionary-all keys() all values() all items()  #Accessing elements of dictionary emp={"empname":"krishna","jobdesc":"software programmer","salary":34000} print(emp['empname'])    #access value using name print(emp.get('salary')) #get key value using key name in get function #get all keys and values #keys(): return the list of all keys in present dictionary #ex: emp={"empname":"krishna","jobdesc":"software programmer","salary":34000} print(emp.keys()) print(type(emp.keys())) #values():return the list of all values in present dictionary #ex: emp={"empname":"krishna","jobdesc":"software programmer","salary":34000} print(emp.values()) print(type(emp.values())) #items():return all the items present in the dictionary. each item will be inside a tuple as a      key-value pair. emp={"empname...

How to Creating a dictionary in Python datatypes  three ways to create a dictionary. Using curly brackets: The dictionaries are created by enclosing the comma-separated Key: Value pairs inside the {} curly brackets. The colon ‘:‘ is used to separate the key and value in a pair. ex: employee = {"empname": "raemsh", "jobdesc": "Software Developer", "salary":88000} print(employee) Using dict() constructor:  Create a dictionary by passing the comma-separated key: value pairs inside the dict(). ex: emp=dict({"empname":"krishna","jobdesc":"Python Developer","salaru":120000}) print(emp) Using sequence having each item as a pair (key-value) ex: emp=dict([("empname","ravikrishna"),("jobdesc","software developer"),("salary",130000)]) print(emp) # create dictionary with value as a list ex: emp = {"empname": "mohan rao", "emp...

 #Download Youtube videos using python yt-dlp lib import yt_dlp url=input("enter video url") ydl_opts={} with yt_dlp.YoutubeDL(ydl_opts) as ydl:     ydl.download([url]) print("Video downloaded successfully") Note: download yt-dlp lib using pip command >>pip install yt-dlp Demo:

 #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)) ...

Software and hardware jobs in guntur (Python, Java,Digital Marketing) Company name : MBIT Training and Placement  Experience : Freshers  Our Technologies : Python,Java,digital Marketing Job Role : write simple code and get rid of bugs in software. Attending Meetings. Developeing Applications Qualification : Any Degree(Bsc,Btech,Mtech,Mca) Address : Arundelpet 5/4 Guntur Amaravathi Contact Numbers :  9700600572,7799596277 #jobs in guntur, #software jobs in guntur, #python jobs in guntur, #java jobs in guntur, #digital marketing jobs in guntur, #training and placement guntur, #private jobs in guntur

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  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])      #python tuples, #python training in guntur, #python jobs in gu...

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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 el...

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 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 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] #python training, #python jobs in guntur, #python training in hyderabad

 1 to 4 years experience in AWS/Python Developer Experience with Cloud Platforms,Cloud services, Python etc., Strong programming experience with Python  Experience in Linux Configuration Management Configuration management experience Build or Contiguous Integration Excellent working knowledge of Jenkins or other CI tools Ability to use GIT Container Orchestration Container technologies, Docker, Virtualization, VMware Experience with test automation Excellent written communication, problem solving, and process management skills UNIX/Linux experience, Jenkins and CICD job Responsibilities: Candidate will work very closely with the engineering teams to increase engineering efficiency through automation and CICD. This job involves actual implementation of solutions, deployments, functionality, performance, security and operational scalability including administrative tasks. This is an excellent opportunity to learn about machine learning as a key member of our world-class team. Ro...

  #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 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 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 myl...

 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 pri...

 #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, ...

  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...

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   #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'>

  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

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))