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Why use the map() function?

The map() in Python is a built-in function. For each item of the iterable (e.g. list, tuple, etc.), the map() calls the defined function and returns a list of results. The first argument in the map() is that you need to pass a function without calling it. This means that there are no parentheses. The operation performed by map() is usually known as a mapping, as it maps every item in an iterable input to an iterable new item. This is achieved by applying map() to all things in the input iterable. Python uses the map concept from functional programming. The map operation considers the mapping function and the data vector as arguments and returns the new vector, which results in the development of the mapping function on each vector object. Syntax: The syntax of map() in python is: map(function, iterable) Let’s assume that you want to use a list of operations or functions to construct a new list for each variable and use those outputs. An example would be to have a list of numbers and to create a new list with their cubes. One way to do this is by going through the list of numbers you are using for loop, and using a function that returns the cube of each number or part. Following is a simple program using the map function in python that returns the cube of a number: # defining a function that returns the cube of a number  def cube(number):    return number**3  # original list  number_list = [1,2,3,4,5,6]  # list that will contain the squared numbers  number_list_cube = []  # using a for loop to iterate over our number_list and create a new list with the cubic values  for number in number_list:    number_list_cube.append(cube(number))  print(number_list_cube)   # output [1,4,9,16,25,36We have a list of numbers, number_list, and we want to create a new list, number_list_cube, that contains the squares of number_list. We use a for loop to loop over number_list, and append the square of each number or number to our number_list_cube list. The built-in python function called map is another way to do this. There are two arguments in the map function: the function we want to apply and the object or sequence to which we want to apply it (such as a list in this case). In other words, the map function maps or applies it to each element in the sequence. Working of map() function in Python: Two inputs as a function and an iterable object used by the map(). The function given to map() is a normal function and is iterated over all the values in the given object. For example, making a list of numbers, and finding the cube for each number. The function is required that will return the double of the number. The function will be as follows: def double(number):  return number+number Now we will create the list of items: number_list = [1,2,3,4,5] Now we will use the map() function to find the double of each item in the number-list.  def double(number):      return number*2  number_list = [1,2,3,4,5]  number_list = map(double, number_list)  print(list(number_list)) Output: [2, 4, 6, 8, 10] We have used list() in the code to iterate the output from the map. The map() function helps to get the double of each number. map() in Python with built-in functions: The map() in Python is a built-in function and can also be used with other built-in functions available in Python. In the example, we are going to make use of the Python pow() built-in function. It is given to map two list objects, one for each base and index parameter. The result is a list containing the power of each number in bases raised to the corresponding number in the index. Example: We have two lists, one is base and another is index. base= [10, 20, 30, 40, 50]  index= [1, 2, 3, 4, 5]  We will use pow() as the function to map().  base=[10, 20, 30, 40, 50]  index=[1, 2, 3, 4, 5]  powers=list(map(pow, base, index))  print(list(powers)) Output: [10, 400, 27000, 2560000, 312500000] map() in Python with Tuple: Tuples in Python are an ordered collection of objects. They are defined by enclosing the elements in parentheses (()). In certain instances, the tuple is identical to the list in terms of indexing, nested objects and repetition, but the tuple is immutable, unlike the lists. Even though tuples are defined using brackets, you still use square brackets to index and slice tuples, just like strings and lists. Example: In the following example we will use the function that will convert the values of the tuple into uppercase. def upperFunc(values):      return values.upper()  values_tuple = ('swift','java','python','go','kotlin')  new_list = map(upperFunc, values_tuple)  print(list(new_list)) Output: ['SWIFT', 'JAVA', 'PYTHON', 'GO', 'KOTLIN'] map() in Python with Dictionary: Dictionaries are the implementation by Python that is more generally known as an associative array. A dictionary is a collection of key-value pairs. It is defined by curly brackets({}). Dictionaries are both mutable and dynamic. They can be updated and deleted as needed. Dictionaries differ from lists as Dictionary elements are accessed via keys while List elements are accessed by their position in the list, via indexing. The dictionary is an iterator, you can use it inside the map() function. Example: def dictFunc(values):      return values*10  values_dict = {1,2,3,4,5}  finalitems = map(dictFunc, values_dict)  print(list(finalitems)) Output: [10, 20, 30, 40, 50] map() in Python with Set: Sets in Python are unordered and the elements of a set are unique i.e. they cannot be the same. You can modify a set, but the elements in the set must be immutable. Like dictionary set() is also an iterator, you can use it inside the map() function. Example: def setFunc(values):      return values*10  values_set = {1,2,3,4,5}  finalitems = map(setFunc, values_set)  print(list(finalitems)) Output: [10, 20, 30, 40, 50] map() in Python with Lambda function: A Lambda Function is an anonymous function that means a function without a name. A Lambda function contains multiple arguments with one expression. We use the def keyword to define a normal function in Python. Similarly, we use the lambda keyword to define an anonymous function in Python. Lambda functions are syntactically restricted to a single expression. We can use the lambda function inside the map() function in Python. Example: numbers = (1,2,3,4,5)  result = map(lambda x: x+x, numbers)  print(list(result)) Output: [2, 4, 6, 8, 10] map() in Python with Other Functional Tools: We can perform more complex transformations on iterables by using map() together with functional tools like filter() and reduce(). map() and filter(): In some problems we need to process an input iterable and return another iterable by filtering unnecessary values in an iterable input. The filter() of Python is a good choice in this situation. Filter() returns the iterable input items for which the function returns true. If no function is passed, filter() uses the identity function. This implies filter() monitors each item in iterable for its true value and filters all falsy items out. Example: If we want to calculate the square root of all the values in a list and if our list have negative values, we’ll get an error because the square root isn’t defined for negative numbers. In order to prevent this problem, filter() is used to filter out all negative values and then find the square root of the remaining positive values. import math  def is_positive(num):  return num >= 0  def filtered_sqrt(numbers):  filtered_iter = map(math.sqrt, filter(is_positive, numbers))  return list(filtered_iter)  filtered_sqrt([100, 9, 225, -36, 0]) map() and reduce(): Another function that exists in functool module of Python is reduce() in the standard library of Python. Reduce() is another key functional method in Python that is helpful when an iterable feature needs to be added to and reduced to a single cumulative value. This form of action is generally called reducing or folding. Example: We will use map() and reduce() to calculate the total size of all the files that live in your home directory. import functools  import operator  import os  import os.path  files = os.listdir(os.path.expanduser(“~”))  functools.reduce(operator.add, map(os.path.getsize, files)) We will call os.path.expanduser("~") to get the path to your home directory. Then you call os.listdir() on that path to get a list with the paths of all the files that live there. The call to map() uses os.path.getsize() to get the size of each file. You eventually use reduce() to obtain the total sum of the size of each file using operator.add(). The end result is the total file size in bytes of your home directory. Generator Expressions instead of map() in Python: map() in python returns a map object, an iterator that returns items on request. The natural substitution for map() is therefore a generator expression. Generator expressions return generator objects, which are also iterators, which yield items on request. A tiny difference occurs between a list comprehension and a generator expression. The list uses a pair of square brackets ([]) while generator expressions use a pair of parentheses (()). If you want to turn a list comprehension into a generator expression, you just need to replace the square brackets with parentheses. def square(number):  return number ** 2  numbers = [1, 2, 3, 4, 5]  gen_exp = (square(x) for x in numbers)  print(list(gen_exp)) Output: [1, 4, 9, 16, 25] Generator expressions are commonly used as arguments in function calls.  Conclusion:map() in python allows to perform operations on iterables. Map() usually helps you to convert and process iterables without directly using a loop. Python map() is a built-in-function that applies a function to all the input items of an iterator. For example, a list, tuple, etc. can be an iterator, and it returns a map object that can be iterated. The map() function will add all the items inside the iterator to the specified function, and then return an iterable map object, i.e. tuple, list, etc. map() in Python is an embedded function that can also be used in Python with other integrated functions. 

Why use the map() function?

10K
Why use the map() function?

Themap() in Python is a built-in function. For each item of the iterable (e.g. list, tuple, etc.), the map() calls the defined function and returns a list of results. The first argument in the map() is that you need to pass a function without calling it. This means that there are no parentheses. 

The operation performed by map() is usually known as a mapping, as it maps every item in an iterable input to an iterable new item. This is achieved by applying map() to all things in the input iterable. 

Python uses the map concept from functional programming. The map operation considers the mapping function and the data vector as arguments and returns the new vector, which results in the development of the mapping function on each vector object. 

Syntax: 

The syntax of map() in python is: 

map(function, iterable) 

Let’s assume that you want to use a list of operations or functions to construct a new list for each variable and use those outputs. An example would be to have a list of numbers and to create a new list with their cubes. One way to do this is by going through the list of numbers you are using for loop, and using a function that returns the cube of each number or part. 

Following is a simple program using the map function in python that returns the cube of a number: 

# defining a function that returns the cube of a number 
def cube(number): 
  return number**3 
# original list 
number_list = [1,2,3,4,5,6] 
# list that will contain the squared numbers 
number_list_cube = [] 
# using a for loop to iterate over our number_list and create a new list with the cubic values 
for number in number_list: 
  number_list_cube.append(cube(number)) 
print(number_list_cube)  
#

 output

 [1,4,9,16,25,36

We have a list of numbers,number_list, and we want to create a new list,number_list_cube, that contains the squares ofnumber_list. We use a for loop to loop overnumber_list, and append the square of each number ornumberto ournumber_list_cubelist. 

The built-in python function called map is another way to do this. There are two arguments in the map function: the function we want to apply and the object or sequence to which we want to apply it (such as a list in this case). In other words, the map function maps or applies it to each element in the sequence. 

Working of map() function in Python: 

Two inputs as a function and an iterable object used by the map(). The function given to map() is a normal function and is iterated over all the values in the given object. 

For example, making a list of numbers, and finding the cube for each number. 

The function is required that will return the double of the number. The function will be as follows: 

def double(number): 
return number+number 

Now we will create the list of items: 

number_list = [1,2,3,4,5] 

Now we will use the map() function to find the double of each item in the number-list.  

def double(number): 
    return number*2 
number_list = [1,2,3,4,5] 
number_list = map(double, number_list) 
print(list(number_list)) 

Output: 

[2, 4, 6, 8, 10] 

We have used list() in the code to iterate the output from the map. The map() function helps to get the double of each number. 

map() in Python with built-in functions: 

The map() in Python is a built-in function and can also be used with other built-in functions available in Python. In the example, we are going to make use of the Python pow() built-in function. It is given to map two list objects, one for each base and index parameter. The result is a list containing the power of each number in bases raised to the corresponding number in the index. 

Example: 

We have two lists, one is base and another is index. 

base= [10, 20, 30, 40, 50] 
index= [1, 2, 3, 4, 5] 
We will use pow() as the function to map(). 
base=[10, 20, 30, 40, 50] 
index=[1, 2, 3, 4, 5] 
powers=list(map(pow, base, index)) 
print(list(powers)) 

Output: 

[10, 400, 27000, 2560000, 312500000] 

map() in Python with Tuple: 

Tuples in Python are an ordered collection of objects. They are defined by enclosing the elements in parentheses (()). In certain instances, the tuple is identical to the list in terms of indexing, nested objects and repetition, but the tuple is immutable, unlike the lists. 

Even though tuples are defined using brackets, you still use square brackets to index and slice tuples, just like strings and lists. 

Example: 

In the following example we will use the function that will convert the values of the tuple into uppercase. 

def upperFunc(values): 
    return values.upper() 
values_tuple = ('swift','java','python','go','kotlin') 
new_list = map(upperFunc, values_tuple) 
print(list(new_list)) 

Output: 

['SWIFT', 'JAVA', 'PYTHON', 'GO', 'KOTLIN'] 

map() in Python with Dictionary: 

Dictionaries are the implementation by Python that is more generally known as an associative array. A dictionary is a collection of key-value pairs. It is defined by curly brackets({}). 

Dictionaries are both mutable and dynamic. They can be updated and deleted as needed. Dictionaries differ from lists as Dictionary elements are accessed via keys while List elements are accessed by their position in the list, via indexing. 

The dictionary is an iterator, you can use it inside the map() function. 

Example: 

def dictFunc(values): 
    return values*10 
values_dict = {1,2,3,4,5} 
finalitems = map(dictFunc, values_dict) 
print(list(finalitems)) 

Output: 

[10, 20, 30, 40, 50] 

map() in Python with Set: 

Sets in Python are unordered and the elements of set are unique i.e. they cannot be the same. You can modify a set, but the elements in the set must be immutable. Like dictionary set() is also an iterator, you can use it inside the map() function. 

Example: 

def setFunc(values): 
    return values*10 
values_set = {1,2,3,4,5} 
finalitems = map(setFunc, values_set) 
print(list(finalitems)) 

Output: 

[10, 20, 30, 40, 50] 

map() in Python with Lambda function: 

ALambda Functionis an anonymous function thatmeans a function without a name. A Lambda function contains multiple arguments with one expression. 

We use thedefkeyword to define a normal function in Python. Similarly, we use thelambdakeyword to define an anonymous function in Python.Lambda functions are syntactically restricted to a single expression. 

We can use the lambda function inside the map() function in Python. 

Example: 

numbers = (1,2,3,4,5) 
result = map(lambda x: x+x, numbers) 
print(list(result)) 

Output: 

[2, 4, 6, 8, 10] 

map() in Python with Other Functional Tools: 

We can perform more complex transformations on iterables by using map() together with functional tools like filter() and reduce(). 

map() and filter(): 

In some problems we need to process an input iterable and return another iterable by filtering unnecessary values in an iterable input. The filter() of Python is a good choice in this situation. 

Filter() returns the iterable input items for whichthe function returns true. If no function is passed, filter() uses the identity function. This implies filter() monitors each item in iterable for its true value and filters all falsy items out. 

Example: 

If we want to calculate the square root of all the values in a list and if our list have negative values, we’ll get an error because the square root isn’t defined for negative numbers. In order to prevent this problem, filter() is used to filter out all negative values and then find the square root of the remaining positive values. 

import math 
def is_positive(num): 
return num >= 0 
def filtered_sqrt(numbers): 
filtered_iter = map(math.sqrt, filter(is_positive, numbers)) 
return list(filtered_iter) 
filtered_sqrt([100, 9, 225, -36, 0]) 

map() and reduce(): 

Another function that exists in functool module of Python is reduce() in the standard library of Python. Reduce() is another key functional method in Python that is helpful when an iterable feature needs to be added to and reduced to a single cumulative value. This form of action is generally called reducing or folding. 

Example: 

We will use map() and reduce() to calculate the total size of all the files that live in your home directory. 

import functools 
import operator 
import os 
import os.path 
files = os.listdir(os.path.expanduser(“~”)) 
functools.reduce(operator.add, map(os.path.getsize, files)) 

We will callos.path.expanduser("~")to get the path to your home directory. Then you callos.listdir()on that path to get a list with the paths of all the files that live there. The call to map() uses os.path.getsize() to get the size of each file. You eventually use reduce() to obtain the total sum of the size of each file using operator.add(). The end result is the total file size in bytes of your home directory. 

Generator Expressions instead of map() in Python: 

map() in python returns a map object, an iterator that returns items on request. The natural substitution for map() is therefore a generator expression. Generator expressions return generator objects, which are also iterators, which yield items on request. 

A tiny difference occurs between a list comprehension and a generator expression. The list uses a pair of square brackets ([]) while generator expressions use a pair of parentheses (()). If you want to turn a list comprehension into a generator expression, you just need to replace the square brackets with parentheses. 

def square(number): 
return number ** 2 
numbers = [1, 2, 3, 4, 5] 
gen_exp = (square(x) for x in numbers) 
print(list(gen_exp)) 

Output: 

[1, 4, 9, 16, 25] 

Generator expressions are commonly used as arguments in function calls. 

Conclusion:

map() in python allows to perform operations on iterables. Map() usually helps you to convert and process iterables without directly using a loop. 

Python map() is a built-in-function that applies a function to all the input items of an iterator. For example, a list, tuple, etc. can be an iterator, and it returns a map object that can be iterated. The map() function will add all the items inside the iterator to the specified function, and then return an iterable map object, i.e. tuple, list, etc. map() in Python is an embedded function that can also be used in Python with other integrated functions. 

Abhresh

Abhresh Sugandhi

Author

Abhresh is specialized as a corporate trainer, He has a decade of experience in technical training blended with virtual webinars and instructor-led session created courses, tutorials, and articles for organizations. He is also the founder of Nikasio.com, which offers multiple services in technical training, project consulting, content development, etc.

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Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc. PCAP is a professional Python certification credential that measures your competency in using the Python language to create code and your fundamental understanding of object-oriented programming.It comprises of topics likeBasic concepts of PythonOperators & data typesControl and EvaluationsModules and PackagesData AggregatesException HandlingStringsFunctions and ModulesObject-Oriented ProgrammingList Comprehensions, Lambdas, Closures, and I/O OperationsClasses, Objects, and ExceptionsDemand and Benefits: Having a Python certification verifies that the programmer or the aspirant has all the necessary and essential skills needed to become an expert Python developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The average entry-level salary of a Python developer starts at around $100k per annum. With a few years of experience, the average salary hikes to $ 105k annually.Top companies and organizations hiring certified Python programmers are Bank of America, Atlassian, Google, Adobe, Apple, Cisco Systems, Intel, Lyft, IBM, etc.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Python programming. It has hands-on learning with 24 hours of instructor-led online lectures. Apart from that, the course has 100 hours of MCQs and three live projects.Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, or computer science aspirant - who wants to pursue a career as a Python developer or  Python programmer can opt for this certification training. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 295Exam fee for certification: $ 295Retake fee for certification: If a candidate fails the exam, he/she has to wait for 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam.4. MongoDB Certified Developer Associate ExamMongoDB is a NoSQL, document-based high-volume heterogeneous database system. Instead of having tables with rows and columns, MongoDB uses a collection of documents. It is a database development system that provides scalability and flexibility as per query requirements. Its document models are easy to implement for developers and can meet complex demands at scale.MongoDB created this MongoDB Certified Developer Associate Exam for individuals who require to verify their knowledge on fundamentals of designing and building applications using MongoDB. They recommend this certification for those who want to become software engineers and have a solid understanding of core MongoDB along with professional experience.It comprises of topics likeMongoDB BasicsCRUDIndexing and PerformanceThe MongoDB Aggregation FrameworkBasic Cluster AdministrationAggregation & ReplicationShardingMongoDB Performance  MongoDB for Python DevelopersMongoDB for Java Developers or MongoDB for JavaScript DevelopersData ModelingDemand and Benefits: Having a MongoDB Certified Developer Associate Exam certification verifies that the programmer or the aspirant has all the necessary and essential skills to become a NoSQL database expert. The MongoDB certification is inexpensive and in demand. The average salary for a software developer with MongoDB skills starts from $ 8200 per annum.Top companies and organizations hiring certified MongoDB developers are Accenture, Collabera, Leoforce LLC., Adobe, Trigent Software, Lyft, etc.Where to take Training for Certification: KnowledgeHut has a comprehensive course structure for those who want to learn MongoDB & Mongodb Administrator. It has 24+ hours of instructor-led online lectures and 80+ hours of hands-on with cloud labs. This self-paced course also includes capstone projects to give participants a feel of real world working.  Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to embark on a career as a MongoDB developer or start his/her career as a NoSQL database expert or do better in their current role as a MongoDB developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 150Exam fee for certification: $ 150Retake fee for certification: MongoDB University is no longer allowing a free retake with the exam fee. The candidate has to pay an additional $10 to reschedule or retake the exam.5. R Programming CertificationIt is a part of the data science specialization from Johns Hopkins University under Coursera. This course teaches R programming for efficient data analysis. It covers different R programming concepts like building blocks of R, datatypes, reading data into R from external files, accessing packages, writing functions, debugging techniques, profiling R code, and performing analysis.It comprises of topics like:Basic building blocks in RData types in RControl StructuresScoping Rules - OptimizationCoding StandardsDates and TimesFunctionsLoopingDebugging toolsSimulating data in RR ProfilerDemand and Benefits: Having an R Programming certification verifies that the programmer or the aspirant has all the necessary and essential skills require to get a job role as data analyst. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified R programmer with this certification is ₹ 508,224 per annum.Top companies and industries hiring certified R programmers are Technovatrix, CGI Group Inc., Amazon, Sparx IT Solutions, Accenture, Uber, etc.Where to take Training for Certification: KnowledgeHut has a fascinating training course for those who wants to become a R programmer. It has 22+ hours of instructor-led live training and three self-paced live projects.Who should take the Training (roles) for Certification: Any data analyst, graduate, post graduate student, experienced data analyst or computer science aspirant - who wants to settle as a R programmer or data analyst can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: FreeFee for certification: $ 60 (Coursera Plus Monthly)Retake fee for certification: Free6. Oracle MySQL Database Administration Training and Certification (CMDBA)It is another course offered by Oracle for SQL developers. Oracle University designed this course for database administrators who want to validate their skills with developing performance, blending business processes, and accomplishing data processing work. Structured Query Language (SQL) is one of the top database management query languages that allows us to access and manipulate databases. If you want to verify your database skills during a job interview or impress your peers at your workplace then this certification is worth getting. This certification path includes Professional, Specialist, and Developer levels. The candidate should pass the MySQL Database Administrator Certified Professional Exam Part 1 & Part 2 to earn the certification.It comprises of topics likeInstalling MySQLMySQL ArchitectureConfiguring MySQLUser ManagementMySQL SecurityMaintaining a Stable SystemOptimizing Query PerformanceBackup StrategiesConfiguring a Replication TopologyDemand and Benefits: Having an CMDBA certification verifies that the programmer or the aspirant has all the necessary and essential skills required to get a job role as SQL developer. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified MySQL DBA or backend developer with this certification is $ 66,470 per annum.Top companies and industries hiring Certified MySQL database administrators are Fiserv, IBM, HCL, Adobe, Microsoft, Apple, Accenture, Collabera, and more.Where to take Training for Certification: KnowledgeHut has a cutting-edge curriculum for those who want to become  MySQL database administrators. It has 16+ hours of instructor-led online lectures and 80+ hours of hands-on lab. Apart from that, this self-paced course has Capstone projects.Who should take the Training (roles) for Certification: Any developer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to pursue a career as a DBA or backend developer or start his/her career in database management or backend software development can opt for this certification course. There is no other prerequisite to appear for this exam or course.Course fees for Certification: $ 255Exam fee for certification: $ 255Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days after the initial attempt.7. CCA Spark and Hadoop DeveloperWith the exponential growth in data, IT firms and organizations have to manage this tremendous amount of data generated. So, many companies are actively looking for Big data and Spark developers who can optimize performance. Big Data is the term used to describe enormous volumes of data. Apache Spark supports data management as it is an open-source centralized analytics engine that handles large-scale data processing.It requires prerequisite knowledge of Scala and Python. This certification also verifies and showcases your skills through Spark and Hadoop projects. Passing this certification course gives you a logo and a license to authenticate your CCA status.It comprises of topics likeLoad data from HDFS for use in Spark applicationsWrite the results back into HDFS using SparkRead and write files in a variety of file formatsPerform standard extract, transform, load (ETL) processes on data using the Spark APIUse metastore tables as an input source or an output sink for Spark applicationsUnderstand the fundamentals of querying datasets in SparkFilter data using SparkWrite queries that calculate aggregate statisticsJoin disparate datasets using SparkProduce ranked or sorted dataSupply command-line options to change your application configuration, such as increasing available memoryDemand and Benefits: Passing the CCA Spark and Hadoop Developer Exam (CCA175) by Cloudera verifies that you have all the essential skills required to get a job as a Hadoop developer and handle Big data projects. The average salary of a certified CCA Spark and Hadoop Developer with this certification is $ 74,200 per annum.Top companies and industries hiring Certified Spark and Hadoop Developers are Primus Global, IBM, Collabera, CorroHealth, Genpact, Xerox, Accenture, and more.Where to take Training for Certification: KnowledgeHut has extensive courses for those who want to become Big Data experts and want to work as Hadoop developers. It has different courses on Big Data Analytics, Apache Storm, Hadoop Administration, Apache Spark & Scala, Big Data with Hadoop, and more.Who should take the Training (roles) for Certification: Any Big Data developer, graduate & post graduate students, Hadoop developer or computer science aspirant - who wants to make a career in Big data development or start his/her career as a Big Data or Hadoop project developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification: $ 295Application fee for certification: $ 295Exam fee for certification: $ 295Retake fee for certification: Within 30 to 60 minutes of exam completion, Cloudera will send a scorecard mail with a pass or fail status. If the candidate fails the exam, then they have to wait for 30 days for another try.  Cloudera gives additional discounts on retakes.ConclusionWhether you are starting your career as a coder or are an experienced programmer looking to grow in the industry, having a certification and proper knowledge of any popular programming language is one of the most proven ways to elevate your programming career.  We trust that this article will help you to understand your area of interest. Choose the programming language you wish to make a career in, wisely. This would also depend on your pre-existing knowledge. If you aren't sure which resource will be more informative for doing your certification as per your area of interest, KnowledgeHut (https://www.knowledgehut.com/) has all the support and expert trainers who can guide you, from start to finish—that is in clearing the exam and helping you gain sound knowledge of your preferred subject.Receiving a programming certification is an added bonus which will make you stand out from the rest. Proper training from an institute such as KnowledgeHut will help you gain skills that are relevant and in demand in the industry.
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Top-Paying Programming Certifications for 2021

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Top IT Certifications for Java Developers in 2021

Programming languages are at the heart of computer science and software development. They help developers write efficient code for developing digital solutions through applications and websites. Programming helps in automating, maintaining, assembling, and measuring the processed data.  Java is one such popular programming language. It is a robust, high-level, general-purpose, pure object-oriented programming language developed by Sun Microsystems (now part of Oracle). James Gosling is the creator of Java which was earlier named Oak. Java ranks high in the top programming languages list and is one of the most extensively used software development platforms. It is well suited to developing software solutions and other innovative projects and simulations.  Since Oracle acquired Sun Microsystems in January 2010, they have been responsible for the further development of the Java platform. All the mentioned top Java certifications verify a specific expertise level and knowledge of the Java platform highlighting particular domains. Without further due, let us now dig into the top 5 Java certifications and their details. About Oracle’s Java CertificationsOrganizations and industries consider certifications as proof of knowledge, especially when the certifications are from a recognized body or firm. Aspirants and professionals looking for possibilities in the Java development domain can avail of a plethora of benefits through the certifications mentioned in this article. There are six levels of Oracle Java Certification based on job roles, skills, and responsibilities: Oracle Certified Junior Associate (OCJA) Oracle Certified Associate (OCA) Oracle Certified Professional (OCP) Oracle Certified Specialist (OCS) Oracle Certified Expert (OCE) Oracle Certified Master (OCM) Among them, the top five Java certifications that are in demand for the year 2021 are – 1. Oracle Certified Associate Java Programmer OCAJPIt is the preliminary and most basic certification provided by Oracle for Java. It helps you gain fundamental understanding of Java programming and build a foundation in Java and other general programming concepts. There are two subcategories in this certification – OCAJP Java Standard Edition 8 (OCAJP 8) and  OCAJP Java Standard Edition 11 (OCAJP 11) OCAJP8 comprises of topics like  Creating and Using Arrays Handling Exceptions Java Basics Using Loop Constructs Using Operators and Decision Constructs Working with Inheritance Working with Java Data Types Working with Methods and Encapsulation Working with Selected classes from the Java API OCAJP11 comprises of topics like Applying Encapsulation Creating and Using Methods Creating Simple Java Programs Describing and Using Objects and Classes Handling Exceptions Java Technology and the Java Development Environment Programming Abstractly Through Interfaces Reusing Implementations Through Inheritance Understanding Modules Using Operators and Decision Constructs Working with Java Arrays Working with Java Primitive Data Types and String APIs Demand and Benefits: Having an OCAJP certification verifies that the programmer or the aspirant has all the necessary and essential skills to become an expert Java developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The entry-level salary of a junior Java developer with this certification is $ 3670 per annum; when the candidate gathers two to three years of experience, the average salary hikes to $ 5430 annually.   (Source: Glassdoor) Top companies and industries hiring Oracle Certified Associate Java Programmers are Smart Monitor Pvt. Ltd., Fiserv, Micron Semiconductor Asia Pvt. Ltd., and more. Where to take Training for Certification: KnowledgeHut has a fascinating course, designed for beginners in Java programming. It offers hands-on learning with 40 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to be a Java developer or start his/her career as a Java programmer can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. 2) Oracle Certified Professional Java Programmer OCPJPIt is a professional-level certification program provided by Oracle for Java developers. It verifies the candidates' knowledge and professional expertise. Using this certification, aspirants and other hard-core Java programmers can distinguish themselves from those Java professionals who are not certified. It comes in the second level of Oracle's Java Certification list. There are two subcategories of this certification – OCPJP Java Standard Edition 8 (OCPJP 8) and  OCPJP Java Standard Edition 11 (OCPJP 11) This certification is preferable if someone has professional experience with Java or has already worked for some years in Java technology.  OCPJP8 comprises of topics like: Advanced Class Design Building Database Applications with JDBC Concurrency Exceptions and Assertions Generics and Collections Java Class Design Java File I/O (NIO.2) Java I/O Fundamentals Java Stream API Lambda Built-in Functional Interfaces Localization Use Java SE 8 Date/Time API OCPJP11 comprises of topics like: Annotations Built-in Functional Interfaces Concurrency Database Applications with JDBC Exception Handling and Assertions Functional Interface and Lambda Expressions Generics and Collections I/O (Fundamentals and NIO.2) Java Fundamentals Java Interfaces Java Stream API Lambda Operations on Streams Localization Migration to a Modular Application Parallel Systems Secure Coding in Java SE Application Services in a Modular ApplicationDemand and Benefits: Once you are a certified Professional Java Programmer (OCPJP), you can switch to better salary slabs and organizations that hire senior Java developers. This certification also helps in getting internal promotions as Java developers in different organizations and firms. The average salary of a certified professional Java developer is $ 5300 - $ 8610 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are Oracle, Capgemini, Morgan Stanley, Chetu, Mphasis, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for Java developers and professionals for learning intermediate Java topics. It has hands-on learning with 32 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course. Who should take the Training (roles) for Certification: Any Java programmer who wants to apply for a senior Java developer's role or start his/her career as a Java programmer can opt for this professional certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.3. Oracle Certified Expert - Web Component Developer OCEWCDIt is an intermediate-level course offered by Oracle for Java web developers. The Oracle Certified Expert Web Component Developer is for web developers who want to write web applications using Java. Through this course, they can prove their expertise in developing web apps using JSP and Servlet technologies. It verifies your expertise in Servlet 3.0 and helps in creating dynamic Web content and Web services.  It comprises of topics like Understanding Java EE Architecture Managing Persistence using JPA entities and Bean Validation Implementing business logic using EJBs Using Java Message Service API Implement SOAP Services using JAX-WS and JAXB APIs Creating Java Web Applications using Servlets and JSPs Implementing REST Services using JAX-RS API Creating Java Applications using WebSockets Developing Web Applications using JSFs Securing Java EE 7 Applications Using CDI Beans Demand and Benefits: You can opt for this course once you are a certified Professional Java Programmer (OCPJP) or certified associated Java programmer. This certification course will help you get a job in organizations having rigorous work in Servlet, Java Server Page, JSF, and web microservices. The average salary of a certified professional Java developer is $ 8,850 - $ 11,930 per annum. Top companies and industries hiring Oracle Certified Web Component Developers are Amdocs, IBM, Oracle, Capgemini, SAP, Shine, Byjus, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for Java web developers (. It has hands-on learning with instructor-led online lectures and live projects. Apart from this, you can get online training from Oracle University as wellWho should take the Training (roles) for Certification: Any programmer or computer science aspirant who wants to settle as a Java web developer or start his/her career as a Java web content and web service developer can opt for this certification course. As a prerequisite, you have to pass the OCPJP to opt for this certification.  Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. 4. Oracle Certified Professional Java Application Developer (OCPJAD)It is an advanced-level course offered by Oracle for Java application developers. The Oracle Certified Professional Java Application Developer (OCPJAD) is for software developers who want to write different applications and automation tools using Java. Through this course, developers can prove their expertise and abilities to develop and deploy applications through Java Enterprise Edition 7. OCPJAD is ideal for desktop application developers, frontend + backend app developers, software engineers, and application architects. It comprises of topics like Creating Batch API Developing CDI Beans Concepts of Concurrency Creating Java Applications with Web-Sockets Creating Java Web Applications with JSPs Developing Java Web Applications with Servlets Developing Web Applications with JSFs Implementing Business Logic with EJBs Performing REST Services with JAX-RS API Implementing SOAP Services with JAX-WS and JAXB APIs Java EE 7 system architecture Java EE 7 Security Techniques Java Message Service API Managing Persistence with JPA Entities and Bean-ValidationDemand and Benefits: Once you pass the Certified Professional Java Application Developer (OCPJAD), you can seek employment in organizations that work on critical application development and command higher salaries. This professional certification will give you exposure to develop APIs, implementing business logic using EJBs, create message services, and apply security systems. The average salary of a certified professional application developer is $ 9,800 - $ 13,910 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are Oracle, Capgemini, NetSuite Inc., SAP, Cognizant, etc. Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity with hands-on learning exposure and live projects. Apart from this, you can get online training from Oracle University as well. Who should take the Training (roles) for Certification: Any Java developer or full-stack application developer who wants to become a certified Java application developer or move to the specialized sector of API development using REST, security architect or software engineer can opt for this certification course. As a prerequisite, you should have passed the OCAJP certification.  Course fees for Certification:  $ 245 Application fee for certification: $ 245 Exam fee for certification: $ 245 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.5. Oracle Certified Master Java Enterprise Architect (OCMJEA)Large-scale development and service firms have different critical applications and systems to develop, manage, and maintain. Such systems require full-stack developers and specialized professionals with proven skills. Such organizations and MNCs hire only highly experienced professionals and specialists who can supervise the extensive operation, architect the defects, and define & develop systems as per requirements. The Oracle Certified Master Java Enterprise Architect (OCMJEA) is one of the most prestigious Java certifications a Java developer can achieve.  It comprises of topics like Architect Enterprise Applications through Java EE Developing Applications for the Java EE 6 Developing Applications for the Java EE 7 Developing Applications with Java EE 6 on WebLogic Server 12c Java Design Patterns Java EE 6: Develop Business Components with JMS & EJBs Java EE 6: Develop Database Applications with JPA Java EE 6: Develop Web Services with JAX-WS & JAX-RS Java EE 7: New Features Java SE 7: Develop Rich Client Applications Java SE 8: Programming Java SE 8 Fundamentals Object-Oriented Analysis and Design Using UML, etc. Demand and Benefits: Once you pass the Certified Master Java Enterprise Architect course, you get the essential skills and understanding of how to execute application development on an enterprise level. Such an experienced professional gains full-stack Java development skills. They get hired with the responsibility of undertaking Java projects from the very start to their final delivery. Many Certified Master Java Enterprise Architects work as managers or senior managerial roles in industries and firms. The average salary of a certified professional application developer is $ 14,000 - $ 19,210 per annum. Top companies and industries hiring Oracle Certified Professional Java Programmers are IBM, Oracle, Microsoft, HCL, Capgemini, NetSuite Inc., SAP, Cognizant, Atlassian, etc. Where to take Training for Certification: KnowledgeHut has a fascinating Java course  with hands-on learning exposure and a live project. Apart from that, a professional can train himself through ILT (Instructor-Led-in-Class), Learning Subscription, TOD (Training on Demand), LVC (Live Virtual Class), or classes delivered by Oracle Authorized Education Center . Other Oracle Authorized Partner Oracle Academy, Oracle University Training Center, or Oracle Workforce Development Program can also benefit and train you in this course.  Who should take the Training (roles) for Certification: Any Java developer or full-stack application developer who wants to move to a senior role in the enterprise-level or want to become a manager or team lead can opt for this certification course. As a prerequisite, you need to have passed the OCPJP certification.  Course fees for Certification:  $248 Application fee for certification: $ 248 Exam fee for certification: $ 248 Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days. Java is an evergreen programming language and is here to stay, at least for the next couple of decades. A vast community of professionals and entry-level aspirants enjoy the benefit of this pure object-oriented, class-based, multi-paradigm, high-level programming language. Java Certification requires proper training.KnowledgeHut has the required infrastructure and quality education faculty, both online and offline, to train aspirants for these Oracle Certifications. It caters to well-structured, industry-oriented Java certification training, explicitly designed to serve the candidates according to the latest industry needs. Getting proper training from KnowledgeHut will help aspirants master core knowledge of Java plus equip themselves with the industry standards to manage large projects. 
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Top IT Certifications for Java Developers in 2021

Programming languages are at the heart of comput... Read More

Best Python Certifications of 2021

Programming is always at the core of computer science and Information Technology. Every year millions of programmers graduate with a degree and look for opportunities in the job market. The demand for programmers is growing exponentially, and this demand is not going anytime soon. Python was released by Python Software Foundation in 1991, and in just a few years, has become the most popular and widely used programming language in various disciplines.Python is an interpreted, general-purpose, and high-level programming language developed by Guido Van Rossum. Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc.According to TIOBE index, Python ranks second among all other programming languages. KnowledgeHut has some fascinating advanced-level courses on Python, such as Machine Learning using Python and Artificial Intelligence using Python.Once you gain expertise in writing Python programs, candidates can start learning advanced-level Python libraries and modules such as Pandas, SciPy, NumPy, Matplotlib, etc. There are different options one can explore after learning Python. These are data analysis, machine learning, cybersecurity, automation, web scraping, etc.Top Python Certifications of 2021Certified Entry-Level Python Programmer (PCEP) Certified Associate in Python Programmer (PCAP) Introduction to Programming Using Python by Microsoft Certified Professional in Python Programming 1 & 2 (PCPP 1 & 2) Certified Expert in Python Programming (PEPP) During the course of your Python certification training and exam preparation, you will develop different real-world projects and get familiar with case studies. Also, there will be hands-on lab experiences in Python programming. In this article, you will get to know the top five Python certifications of 2021 that can give you the launchpad you need to embark on a successful career.   1. Certified Entry-Level Python Programmer (PCEP): The PCEP is an entry-level Python certification. To enroll in this course, you need to have a basic understanding of how procedural programming works. Also, some knowledge of flowcharts and algorithm creation will benefit you. Through this certification, an aspirant can gain the core and fundamental understanding of Python. This certification from the Python Institute will make you proficient in Python programming and help you become a Python certified professional. Aspirants and professionals can choose Python as a career option/path and climb the Python Institute’s certification ladder from associate to professional.PCEP comprises of topics like Basic formatting and outputting methods Handling Boolean values Compilation vs. interpretation Constants, Variables and Variable naming conventions Defining user-defined functions Fundamentals of computer programming Inputting and converting Data Logical vs. bitwise operations in Python Looping and control statements Lists New data aggregates: Tuples and Dictionaries The assignment operator Primary kinds of data and numerical operators Rules governing the building of expressions Working with multi-dimensional arrays Different slicing operations Demand and Benefits: Having a PCEP certification verifies that the programmer or the aspirant has knowledge of all the necessary and fundamental Python concepts. The course also covers all the syntax and semantics of different Python constructs & data types offered by the language. This course brings crisp knowledge on general coding techniques using standard language infrastructure and basic programming skills using Python. The average entry-level salary of a Python programmer with this certification will be $ 5660 per annum. Top companies and industries hiring PCEP are Philips, Cataleya Pvt. Ltd., Deloitte, Zynga, Mphasis, VMware, etc.Where to take Training for Certification: Python Institute has all the study resources you need to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut  that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to learn Python or start an internship or entry-level job as Python programmer can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 295 Application fee for certification: $ 295 Exam fee for certification: $ 295 Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit on the number of times a candidate may retake the exam.2. Certified Associate in Python Programmer (PCAP):PCAP is another important second-level or associate-level certification exam for Python. This course and certification will give you the confidence to measure your skill and complete the Python-based coding tasks. It also facilitates competing for competitive coding sessions. This course also comprises the essential notions and concepts related to object-oriented programming. With this associated-level certification, you can stand unique in the competitive job market. PCAP comprises of topics like Basic formatting and outputting methods Python basics Using Boolean values Compilation vs. interpretation Variables and variable naming conventions Defining and using functions Fundamentals of computer programming Fundamentals of OOP  How to use OOPs in the Python programming language Generators and closures Inputting and converting of data Logical vs. bitwise operations Looping and control statements File processing for Python developers Name scope issues New data aggregates: tuples and dictionaries Primary kinds of data and numerical operators Python modules Inheritance in Python Rules for creating expressions Working with multi-dimensional arrays Strings, lists, and other Python data structures The assignment operator The concept of exceptions and implementation Demand and Benefits: Having a PCAP certification verifies that the programmer or the aspirant has all the necessary and essential concepts of intermediate-level Python programming. The course also covers all the fundamental concepts of different Python constructs & fundamentals of OOP. This course brings crisp knowledge on general coding techniques using standard language infrastructure and basic programming skills using Python. The approximate salary of a Python programmer with this certification will be $7000 to $11,262 per annum. Top companies and industries hiring PCAP are CareCentrix, Accenture, Deutsche Bank, Collabera, NetApp, Capgemini, Tech Mahindra, Myntra, etc. Where to take Training for Certification: Python Institute (https://pythoninstitute.org/free-python-courses/) has all the study resources you need to prepare for this examination. You can also get a comprehensive training by enrolling for the Python course offered by KnowledgeHut (https://www.knowledgehut.com/programming/python-programming-certification-training) that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to build a career in Python or pursue an associate-level job as a Python programmer or developer, can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 295 Application fee for certification: $ 295 Exam fee for certification: $ 295 Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam. 3. Introduction to Programming Using Python by MicrosoftIt is another popular entry-level Python certification by Microsoft (https://docs.microsoft.com/en-us/learn/certifications/exams/98-381). This certification covers all the syntax, data types, and basic understanding of Python. It also teaches how to logically solve any problem using Python constructs. Candidates wanting to enroll for this course are expected to have had some instruction or hands-on experience of approximately 100 hours with the Python programming language, including debugging skills, logic development, understanding conditional & decision-making statements, and maintaining well-formed well documented Python code. Microsoft’s Introduction to Programming Using Python comprises of topics like Basics of Python Using Boolean values Fundamentals of computer programming Interpretations Variables and variable naming conventions Defining and using functions Indexing and slicing operations Type conversions Basic formatting and outputting Data Types and Operators Control Flow with Decisions and Loops Construct Data structures Jump Statements Perform Input and Output Operations Document and Structure Code Comments and white-spaces Perform Operations Using Modules and Tools Demand and Benefits: Having a Microsoft certification verifies that the Python programmer or the aspirant has all the necessary and fundamental Python concepts. The course also covers all the syntax and semantics of different Python constructs & data types offered by the language. Anyone with this certification will have a better understanding of core Python, and the candidate can stand out in the competitive exams from the rest. The average entry-level salary of a Python programmer with this certification will be $ 5660 per annum. Top companies and industries hiring Python professionals with this credential are Cataleya Pvt. Ltd., Zynga, VMware, Mphasis, Deloitte, Capgemini, etc. Where to take Training for Certification: Microsoft has a paid five-day instructor-led course to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to learn Python or start an internship or entry-level job as Python programmer, can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 127 Application fee for certification: $ 127 Exam fee for certification: $ 127 Retake fee for certification: Exam retake is free. If the candidate fails to achieve a passing score on the first attempt, he/she must wait 24 hours before retaking the exam. 4. Certified Professional in Python Programming 1 & 2 (PCPP 1 & 2):Once you sound knowledge of the core concepts of Python or have 3 to 5 years of experience in Python programming, you may prepare for professional Python certification. Certified Professional in Python Programming 1 certifications will reflect your experience and programming skills in the following areas: Text File Handling GUI-based Programming Encapsulation Inheritance Advanced Object-Oriented Programming PEP conventions Metaprogramming Communicating with a program's environment Using Libraries and Modules Importing math, science, and engineering modules Having this globally recognized credential will make you stand out in a competitive job market. Many recruiting agencies and firms are looking for professional Python programmers who can develop and deploy applications. Certified Professional in Python Programming 2 (PCPP2) is another advanced-level professional certification course offering proficiency in Python-MySQL database handling. Certified Professional in Python Programming 2 certification will reflect your experience and programming skills in the following areas: Basic directory structure CRUD operations Design patterns Observer and Proxy Singleton and State Design Template Method Model-View-Controller using Python Multiprocessing, threading, subprocess, and multiprocessor synchronization Relational database management using Python MySQL and SQL commands Sharing, storing and installing packages Network programming in Python Application testing techniques and principles Demand and Benefits: Having a PCPP certification verifies that the Python developer has all the necessary and essential skills of a professional Python programmer. The course covers all the advanced object-oriented programming concepts, GUI programming, etc. This course brings crisp knowledge for experienced professionals to make them stand out in the software development industry. The approximate salary of a Python programmer with this certification will be $ 12,053 to $ 14,700 per annum. Top companies and industries hiring PCPP certified professionals are Dell, Accenture, SG Analytics, HCL, Oracle, Capgemini, Tech Mahindra, Flipkart, etc. Where to take Training for Certification: Python Institute has all the study resources you need to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut that has 32 hours of instructor-led training covering the advanced programming concepts like database handling, OOPs, logical layout, data visualization, etc. Who should take the Training (roles) for Certification: Any professional, programmer, or experienced Python developer - who wants to settle as a senior Python developer or pursue an experienced-level job as a Python programmer or developer can opt for this certification course. The candidate should have the Certified Associate in Python Programmer (PCAP) certification or few years of work experience in Python. Course fees for Certification: $ 195 Application fee for certification: $ 195 Exam fee for certification: $ 195  Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam. 5. Certified Expert in Python Programming (CEPP):This Python certification tag is for experts who complete all the OpenEDG Python Institute's Programming certification program (PCAP-31-xx, PCPP-32-1-xx, and PCPP-32-2-xx exams). It is the most advanced credential a Python developer can achieve from the Python Institute. Having this globally recognized credential will verify your expertise in Python programming. It highlights expertise in the universal concepts of Python programming. Also, this certification showcases the skills in resolving typical implementation challenges on different verticals of Python. Demand and Benefits: Having a CEPP certification verifies that the Python developer has industry level expertise in Python. This certification designates that the candidate has covered all the topics from basics to advance object-oriented programming concepts, GUI programming, etc. Using this certification, one can apply for a senior software development role, Python developer’s role, team lead, agile project management lead, and other senior job roles. Many professionals switch their careers to Big Data, Data Analytics, Machine learning, and deep learning after completing this certification. The approximate salary of a Python programmer with this certification will be $ 17,350 to $ 39,945 per annum. Top companies and industries hiring CEPPs are Amazon, Tesla, HSBC, Google, HCL, Oracle, Capgemini, Qualcomm, 6sense, Vitrana, and other top service-based companies. Where to take Training for Certification: Python Institute has all the study resources you need to prepare for PCAP-31-xx, PCPP-32-1-xx, and PCPP-32-2-xx examination. Once a candidate has passed all the certifications, he/she becomes recognized as an Open EDG Python Institute Certified Expert in Python Programming (CEPP). Who should take the Training (roles) for Certification: Any professional, Python expert, or senior Python developer, who wants to settle as a team lead or pursue an experienced-level job profile can opt for these certifications to reach at this level.  Course fees for Certification: $ 295 + $ 295 + $ 195 Application fee for certification: $ 295 + $ 295 + $ 195 Exam fee for certification: $ 295 + $ 295 + $ 195  Retake fee for certification: There is no retake fee Conclusion We trust this article gave you a better insight into different Python certifications! Whether you are starting out as a coder, or are an experienced Python programmer looking at making a splash in the industry, having a Python certification and proper knowledge of Python will elevate your programming career. Python is one of the top programming languages that can help you land different jobs in web development, app development, data science, cybersecurity, networking, web scraping, robotics, IoT, etc. If you aren't sure which online resource will be more informative for your Python certification, KnowledgeHut (https://www.knowledgehut.com/) has all the study materials and expert trainers who will help you reach the pinnacle of Python expertise. Receiving a Python certification, apart from academics and degrees, will make you stand out from the rest. So, start preparing for one today! 
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Best Python Certifications of 2021

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