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Python Map Vs List Comprehension

Python has many inbuilt methods, data structures, and modules to get the desired output. When we write a huge code consisting of many lines for a detailed problem statement, it is difficult to debug the code. Python provides the features we need to write code with a fewer number of lines.  Python Map and Python list comprehension are features that work differently but have some similarities. Their perfomance varies with the parameters we are using. Let's discuss what these maps and list comprehension features are, how they work, and their performances. Map function:-  The map function takes an Expression and an Iterable. The output will be an Iterable object where the expression will work on each element of the given Iterable. The output of each expression will be an element of the resultant Iterable.  Syntax  map( expression, iterable) Parameters  It accepts two parameters as arguments the "expression maps "and  "iterable". expression- It is the formula you need to calculate the result. Iterable- It is the iterable whose each element will be calculated on from the expression. Return type  It returns an object of the iterable where the given formula calculates each element (as of 1st argument) applied on the elements of given iterable (2nd argument) of the map function. The output can be converted to an iterable. Example Example 1: Map ( ) using the function as the first argument. #This code will add "2" to each element of the list  def add_two(n):  #parameter is "n"   return n + 2             #add "2" to "n"  #application of formula "add_two( )" on every element of "num"  num = [1, 2, 3, 4] #2nd argument  added_two = map(add_two, num)      #returns "added_two" as object  print(list(added_two))       #object "added_two" is converted to list. #Output: added_two = [3, 4, 5, 6] Example 2: Using Lambda expression as first argument  # Double up all numbers through map and lambda   num = [1, 2, 3, 4] #input list, 2nd argument  added_two = map(lambda i: i + 2, num)      #output list object  print(list(result))        #object is converted to list Iterable  #Output: added_two = [3, 4, 5, 6] map vs. for loop python speed  Map and For Loop can produce the same output, but they work differently. Inside "for loop", we iterate a variable fed to an expression within an Iterable. Whereas "Map" is used to map a function to all the elements of the given Iterable. It is a one-lined code configuration of "for loop". So, if we give the same input and write code to get the same output using "map" and "for loop", we will see from the time of execution on the IDE that their speed of execution is different. Run the below codes in your Python IDE and you will see that "map" is faster than "for loop". So, in map vs for loop python speed , map wins. Example solution with "map" :  #definition of function to cube a given number   def numCube (n) :   return n * n * n   num = [0, 1, 2, 3, 4]   cubedNum = map(cubedNum, num)  #object of iterable  print(list(cubedNum)) #object is converted to Iterable list #output:         [0, 2, 8, 27, 64] Example solution with "for loop" :  num = [0, 1, 2, 3, 4]  #input list  for n in num :   cubedNum = n * n * n         #expression  print(cubedNum)  #output:      #         0  #         1  #         8  #         27  #         64 List Comprehension  Python List Comprehension is used for creating a list where each element is generated by applying a simple formula on the given list.  Syntax  resultant_list = [ <variable_expression> for <variable> in <input_list> ]                or resultant_list = [ <variable_expression> for <variable> in <input_list> if <condition> ]  Parameters  It takes two argument including a list. variable_expression- It is the formula containing a variable and the formula is used on the variable. variable- It is a variable to access each element.  input_list- It is the given list from where each element will be accessed as variable and applied on the formula.  condition- After calculating the expression, if it matches the given Cindy, then only it will appear in the resultant_list. Return type  It always returns a list. Example  Example 1: Python List comprehension without condition # a list comprehension to print cube  num= [-2, -1, 0, 1, 2]  cubedNum = [n**3 for n in num]   print(cubedNum)  #output:      [ -8, -1, 0, 1, 8]  Example 2: Python List comprehension with condition # a list comprehension to print cube if cube is positive  num= [-2, -1, 0, 1, 2]  cubedNum = [n**3 for n in num if n**3 >= 0]   print(cubedNum)      #output list contains only positive cubes #output:  [ 0, 1, 8]  python any list comprehension (use of "any" keyword) The "any ( )" function is very useful tool which works on iterables, and returns true if any of the element in the iterable is true. As list compression generates a list, we can use any() function with a python list comprehension.  Example: Print "not allowed" if any one of the ages is less than 18 ages= [22, 15, 20, 25, 34]   if any([a < 18 for a in ages]):  print("At least one is under-aged and they all are not allowed")  # there is one age 15 which is less than 18  #output:.    At least one is under-aged, and they all are not allowed python reduce vs list comprehension Reduce- Used to reduce the list where a formula is applied recursively on the elements of a list. It accepts two arguments, including expression as the first argument and Iterable as the second argument. This function can be defined in the "functools" module.  Firstly it took the first two elements of the Iterable and applied them to the expression. The calculated result and next element are applied to the expression. It is traversed till the last element of the Iterable, and the final output is thus generated.  Example 1: Reduce function using lambda #importing functools module where reduce( ) is defined  import functools    num = [ 1 , 2, 5, 3, 9 ]   #summation of elements using functools( )  print("The sum of all list elements is : ")   print(functools.reduce(lambda a,b : a+b, num))  #output: The sum of all list elements is: 20  How to reduce function works?  Step 1: 1 + 2 = 3   Step 2: 3 + 5 = 8   Step 3: 8 + 3 = 11   Step 4: 11 + 9 = 20  Example 2: Reduce function using operator module #importing functools module where reduce( ) is defined  import functools     #importing operator module where numerical operators are defined as function  import operator    num = [ 1 , 2, 5, 3, 9 ]   print ("The sum of the list elements is : ")   # "add" function is used as '+' operator  print (functools.reduce(operator.add, num))  #output: The sum of all list elements is : 20  How does reduce function with operator work? Step 1:    1 add 2 = 3   Step 2:      3 add 5 = 8   Step 3:      8 add 3 = 11   Step 4:       11 add 9 = 20  Python List comprehension- Used to create another list where a formula is applied once on each element of the list. So, we cannot use reduce in place of list comprehension.  We have seen no possible answer to python reduce vs list comprehension because these two can replace each other. Python filter vs list comprehension In python, a filter is a function that is used to filter out some elements from Iterable based on a certain condition. It returns an Iterable object. We can visualize that after printing it, and converting it to a list. It can be done by using list comprehension to create a list with the "if" condition.  When we are using a list with a small number of elements, then the list comprehension and filter method have almost the same execution speed. But when the list size is huge, then list comprehension is slightly faster than a filter. This is because list comprehension directly generates a list, whereas filter function returns an iterable object, which is then converted to a list. However, if we don't convert the object to a list, then the execution time is almost negligible. But to visualize the output, we need a list, not an object.  So, python list comprehension is better than a filter. Example 1: Using list comprehension to print positive numbers from a list. num= [-2, -1, 0, 1, 2]  positive Num = [n for n in num if n > 0]   print(positiveNum)      #output list contains only positive cubes #output: [ 1, 2]  Example 2: Using filter function to print positive numbers from a list. num= [-2, -1, 0, 1, 2]  print(list(filter(lambda n: n>0, num))) # output:    [1, 2] So, in python filter vs. list comprehension, list comprehension has better performance. Python Map VS List Comprehension  Assume that we have a formula. We want to apply that formula to each element of a list and thereby create a new list. Now, using for loop, we can traverse through that given list, pick each item, apply them into the formula and append it to the resultant list. That is a long process that consists of many lines of code. So, in one line, we can use the map function as discussed above.  Now, python list comprehension is a tool for creating a new list. We can use the functionality of lambda expression, filter method, and map function together using only this list comprehension.  List comprehension has a simpler configuration than the map function.  List comprehension can be used together with if condition as replacement of filter method. Map function has no such functionality. However, we can feed the map function output to the filter function.  List comprehension returns a list, whereas the map function returns an object of Iterable.  List comprehension execution is faster than that of map function when the formula expression is huge and complex. Map function is faster than list comprehension when the formula is already defined as a function earlier. So, that map function is used without lambda expression. Comparing Execution Time  Now to examine the execution performance of list comprehension and map function, we will import a module "timeit" to check the execution time. Let us see the result with a variety of methods. Without lambda: Map is faster than List Comprehension when function is already defined in case of map function. Example code 1: This code will print the time taken to evaluate numbers from 1 to 50. Map function is used without lambda. import timeit  # list comprehension  l1 = timeit.timeit( '[ l for l in range(50)]' , number = 999999)  print (l)   #map function  f= 'def num( ) : print (n)'  m1 = timeit.timeit( ' map (num, range(50))' , number = 999999, setup = f )   print (m) With lambda in map: List comprehension is better than map function when we don't define the function beforehand and use lambda expression inside map.   Example code 2: This code will print the time taken to add a number to itself and this is applied for each element of the list. The expression is defined as lambda expression. import timeit  # list comprehension  l2 = timeit.timeit( '[ n+n for n in range(50)]' , number = 999999)  print (l)  #map function  m2 = timeit.timeit( ' map (lambda a: a+a, range(50))' , number = 999999, setup = f )   print (m) Write the above codes on your IDE. You will see that for the first case, m1 is very less than l1. That means the map works faster than list comprehension. For the second case, m2 is greater than l2, implying that list comprehension is faster than map function when map function is used with Lambda expression.  ConclusionThere are no clear answers about which is the better option, in Python Map Vs List comprehension. We should know what the problem statement is, then use the method which suits us better because our main objective is to calculate the solution with optimal time and space consumption. 

Python Map Vs List Comprehension

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  • by Abhresh S
  • 01st Feb, 2021
  • Last updated on 17th Mar, 2021
  • 10 mins read
Python Map Vs List Comprehension

Python has many inbuilt methods, data structures, and modules to get the desired output. When we write a huge code consisting of many lines for a detailed problem statement, it is difficult to debug the code. Python provides the features we need to write code with a fewer number of lines.  

Python Map and Python list comprehension are features that work differently but have some similarities. Their perfomance varies with the parameters we are using. Let's discuss what these maps and list comprehension features are, how they work, and their performances. 

Map function:-  

The map function takes an Expression and an IterableThe output will be an Iterable object where the expression will work on each element of the given Iterable. The output of each expression will be an element of the resultant Iterable.  

Syntax  

map( expression, iterable) 

Parameters  

It accepts two parameters as arguments the "expression maps "and  "iterable". 

  • expression- It is the formula you need to calculate the result. 
  • Iterable- It is the iterable whose each element will be calculated on from the expression. 

Return type  

It returns an object of the iterable where the given formula calculates each element (as of 1st argument) applied on the elements of given iterable (2nd argument) of the map function. The output can be converted to an iterable. 

Example 

Example 1: Map ( ) using the function as the first argument. 

#This code will add "2" to each element of the list 
def add_two(n):  #parameter is "n"  
return n + 2             #add "2" to "n" 
#application of formula "add_two( )" on every element of "num" 
num = [1, 2, 3, 4] #2nd argument 
added_two = map(add_two, num)      #returns "added_two" as object 
print(list(added_two))       #object "added_two" is converted to list.

 #Output: 

added_two = [3, 4, 5, 6] 

Example 2: Using Lambda expression as first argumen 

# Double up all numbers through map and lambda  
num = [1, 2, 3, 4] #input list, 2nd argument 
added_two = map(lambda i: i + 2, num)      #output list object 
print(list(result))        #object is converted to list Iterable  

#Output: 

added_two = [3, 4, 5, 6] 

map vs. for loop python speed  

Map and For Loop can produce the same output, but they work differently. Inside "for loop", we iterate a variable fed to an expression within an Iterable. Whereas "Map" is used to map a function to all the elements of the given Iterable. It is a one-lined code configuration of "for loop". 

So, if we give the same input and write code to get the same output using "map" and "for loop", we will see from the time of execution on the IDE that their speed of execution is different. Run the below codes in your Python IDE and you will see that "map" is faster than "for loop". 

So, in map vs for loop python speed , map wins. 

Example solution with "map" :  

#definition of function to cube a given number  
def numCube (n) :  
return n * n * n  
num = [0, 1, 2, 3, 4]  
cubedNum = map(cubedNum, num)  #object of iterable 
print(list(cubedNum)) #object is converted to Iterable list 

#output:         

[0, 2, 8, 27, 64

Example solution with "for loop" :  

num = [0, 1, 2, 3, 4]  #input list 
for n in num :  
cubedNum = n * n * n         #expression 
print(cubedNum)  

#output:      

#         0 
#         1 
#         8 
#         27 
#         64 

List Comprehension  

Python List Comprehension is used for creating a list where each element is generated by applying a simple formula on the given list.  

Syntax  

resultant_list = [ <variable_expression> for <variable> in <input_list> ]  

              or 

resultant_list = [ <variable_expression> for <variable> in <input_list> if <condition> ]  

Parameters  

It takes two argument including a list. 

  • variable_expressionIt is the formula containing a variable and the formula is used on the variable. 
  • variable- It is a variable to access each element.  
  • input_list- It is the given list from where each element will be accessed as variable and applied on the formula.  
  • condition- After calculating the expression, if it matches the given Cindy, then only it will appear in the resultant_list. 

Return type  

It always returns a list. 

Example  

Example 1: Python List comprehension without condition 

# a list comprehension to print cube 
num= [-2, -1, 0, 1, 2] 
cubedNum = [n**3 for n in num]  
print(cubedNum)  

#output:      

[ -8, -1, 0, 1, 8]  

Example 2: Python List comprehension with condition 

# a list comprehension to print cube if cube is positive 
num= [-2, -1, 0, 1, 2] 
cubedNum = [n**3 for n in num if n**3 >= 0]  
print(cubedNum)      #output list contains only positive cubes 

#output: 

 [ 0, 1, 8]  

python any list comprehension (use of "any" keyword) 

The "any ( )" function is very useful tool which works on iterables, and returns true if any of the element in the iterable is true. As list compression generates a list, we can use any() function with a python list comprehension 

ExamplePrint "not allowed" if any one of the ages is less than 18 

ages= [22, 15, 20, 25, 34]  
if any([a < 18 for a in ages]): 
print("At least one is under-aged and they all are not allowed") 
# there is one age 15 which is less than 18  

#output:.    

At least one is under-aged, and they all are not allowed 

python reduce vs list comprehension 

Reduce- Used to reduce the list where a formula is applied recursively on the elements of a list. It accepts two arguments, including expression as the first argument and Iterable as the second argument. This function can be defined in the "functools" module.  

Firstly it took the first two elements of the Iterable and applied them to the expression. The calculated result and next element are applied to the expression. It is traversed till the last element of the Iterable, and the final output is thus generated.  

Example 1: Reduce function using lambda 

#importing functools module where reduce( ) is defined 
import functools   
num = [ 1 , 2, 5, 3, 9 ]  
#summation of elements using functools( ) 
print("The sum of all list elements is : ")  
print(functools.reduce(lambda a,b : a+b, num))  

#output: 

The sum of all list elements is: 20  

How to reduce function works?  

Step 1: 1 + 2 = 3  
Step 2: 3 + 5 = 8  
Step 3: 8 + 3 = 11  
Step 4: 11 + 9 = 20  

Example 2: Reduce function using operator module 

#importing functools module where reduce( ) is defined 
import functools    
#importing operator module where numerical operators are defined as function 
import operator  
 num = [ 1 , 2, 5, 3, 9 ]  
print ("The sum of the list elements is : ")  
# "add" function is used as '+' operator 
print (functools.reduce(operator.add, num))  

#output: 

The sum of all list elements is : 20  

How does reduce function with operator work? 

Step 1:    1 add 2 = 3  
Step 2:      3 add 5 = 8  
Step 3:      8 add 3 = 11  
Step 4:       11 add 9 = 20  

Python List comprehensionUsed to create another list where a formula is applied once on each element of the list. So, we cannot use reduce in place of list comprehension.  

We have seen no possible answer to python reduce vs list comprehension because these two can replace each other. 

Python filter vs list comprehension 

In python, a filter is a function that is used to filter out some elements from Iterable based on a certain condition. It returns an Iterable object. We can visualize that after printing it, and converting it to a list. It can be done by using list comprehension to create a list with the "if" condition.  

When we are using a list with a small number of elements, then the list comprehension and filter method have almost the same execution speed. But when the list size is huge, then list comprehension is slightly faster than a filter. This is because list comprehension directly generates list, whereas filter function returns an iterable object, which is then converted to list. However, if we don't convert the object to a list, then the execution time is almost negligible. But to visualize the output, we need a list, not an object.  

So, python list comprehension is better than a filter. 

Example 1: Using list comprehension to print positive numbers from a list. 

num= [-2, -1, 0, 1, 2] 
positive Num = [n for n in num if n > 0]  
print(positiveNum)      #output list contains only positive cubes 

#output: 

[ 1, 2]  

Example 2: Using filter function to print positive numbers from a list. 

num= [-2, -1, 0, 1, 2] 
print(list(filter(lambda n: n>0, num))) 

# output:    

[1, 2] 

So, in python filter vs. list comprehension, list comprehension has better performance. 

Python Map VS List Comprehension  

Assume that we have a formula. We want to apply that formula to each element of a list and thereby create a new list. Now, using for loop, we can traverse through that given list, pick each item, apply them into the formula and append it to the resultant list. That is a long process that consists of many lines of code. So, in one line, we can use the map function as discussed above.  

Now, python list comprehension is a tool for creating a new list. We can use the functionality of lambda expression, filter method, and map function together using only this list comprehension.  

  • List comprehension has a simpler configuration than the map function.  
  • List comprehension can be used together with if condition as replacement of filter method. Map function has no such functionality. However, we can feed the map function output to the filter function.  
  • List comprehension returns a list, whereas the map function returns an object of Iterable.  
  • List comprehension execution is faster than that of map function when the formula expression is huge and complex. 
  • Map function is faster than list comprehension when the formula is already defined as a function earlier. So, that map function is used without lambda expression. 

Comparing Execution Time  

Now to examine the execution performance of list comprehension and map function, we will import a module "timeit" to check the execution time. Let us see the result with variety of methods. 

Without lambda: Map is faster than List Comprehension when function is already defined in case of map function. 

Example code 1: This code will print the time taken to evaluate numbers from 1 to 50. Map function is used without lambda. 

import timeit 
# list comprehension 
l1 = timeit.timeit( '[ l for l in range(50)]' , number = 999999) 
print (l)  
#map function 
f= 'def num( ) : print (n)' 
m1 = timeit.timeit( ' map (num, range(50))' , number = 999999, setup = f )  
print (m) 

With lambda in map: List comprehension is better than map function when we don't define the function beforehand and use lambda expression inside map.   

Example code 2: This code will print the time taken to add a number to itself and this is applied for each element of the list. The expression is defined as lambda expression. 

import timeit 
list comprehension 
l2 = timeit.timeit( '[ n+n for n in range(50)]' , number = 999999) 
print (l) 
#map function 
m2 = timeit.timeit( ' map (lambda a: a+a, range(50))' , number = 999999, setup = f )  
print (m) 

Write the above codes on your IDE. You will see that for the first case, m1 is very less than l1. That means the map works faster than list comprehension. For the second case, m2 is greater than l2, implying that list comprehension is faster than map function when map function is used with Lambda expression.  

Conclusion

There are no clear answers about which is the better option, in Python Map Vs List comprehension. We should know what the problem statement is, then use the method which suits us better because our main objective is to calculate the solution with optimal time and space consumption. 

Abhresh

Abhresh S

Author

An Online Technical Trainer by profession! And Content writer by hobby! Interested in sharing quality knowledge to make the Industry grow better towards better success and better tomorrow! With a Guru Mantra of - "Keep Learning & Keep Practicing".

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The course also covers all the syntax and semantics of different C constructs plus the data types offered by the language. This course brings crisp knowledge on writing programs using standard language infrastructure regardless of the hardware or software platform.A C++ Certified Associate Programmer (CPA) certification will give you an upper hand because it comprises syntax and semantics of the C++ language plus basic C++ data types. Apart from that, it contains principles of the object-oriented model and C++ implementation. Also, you will get to know about the various C++ standard libraries through this certification process. The average entry-level salary of a C/C++ developer with this certification will be $ 7,415 per annum. With two to three years of experience, the average salary hikes to $ 10,593 annually.Top companies and industries hiring CLA and CPA are Philips, Calsoft Pvt. Ltd., Cognizant, Synopsys Inc., private universities, Mphasis, etc.Where to take Training for Certification: CPP Institute has all the study resources you need to prepare for this examination. Apart from that, you can study from YouTube free resources.Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to expand their knowledge of C/C++ or start their career as a C/C++ programmer or developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:CLA Certification: $ 147.50 (50% discount voucher)CPA Certification: $ 147.50 (50% discount voucher)Exam fee for certification:CLA Certification: $ 295CPA Certification: $ 295Retake fee for certification: Aspirants who have paid the complete exam price (USD 295) or have completed a course aligned with certification in the self-study mode (50% discount voucher) can have a free retake of the CPA or CLA exam. There is no limit to the number of times a candidate may retake the exam. You must wait 15 days before being allowed to re-sit that exam.2. Oracle Certified Associate Java Programmer OCAJPThis is a Java programming certification provided by Oracle. Java is among the most popular programming languages. James Gosling is the creator of Java which was earlier named Oak. It is a robust, high-level, general-purpose, pure object-oriented programming language developed by Sun Microsystems (now part of Oracle). Java consistently tops the 'most used programming languages’ list and is one of the most extensively used software development platforms. If you have the plan to get a proper training course online before appearing for the certification exam, KnowledgeHut (https://www.knowledgehut.com/programming/java-training) has that for you.It is the preliminary and most basic certification provided by Oracle for Java. It helps gain fundamental understanding of Java programming and builds a foundation in Java and other general programming concepts. The certification encompasses two subcategories –OCAJP Java Standard Edition 8 (OCAJP 8) and  OCAJP Java Standard Edition 11 (OCAJP 11)It comprises of topics likeJava BasicsWorking with Java Data TypesUsing Operators and Decision ConstructsCreating and Using ArraysUsing Loop ConstructsWorking with Methods and EncapsulationWorking with InheritanceHandling ExceptionsClass Methods and EncapsulationDescribing and Using Objects and ClassesHandling ExceptionsJava Technology and the Java Development EnvironmentInheritance and InterfacesUnderstanding ModulesUsing Operators and Decision ConstructsWorking with Java ArraysWorking with Selected classes, Java Primitive Data Types and String APIsDemand and Benefits: Having an OCAJP certification verifies that 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.Top companies and industries hiring Oracle Certified Associate Java Programmers are Smart Monitor Pvt. Ltd., Fiserv, Micron Semiconductor Asia Pvt. Ltd., private universities and many others.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Java programming. It has workshops with hands-on learning and 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 settle as 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 fee for Certification: $ 245Application fee for certification:OCAJP8: $ 245OCAJP11: $ 249Exam fee for certification:OCAJP8: $ 245OCAJP11: $ 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.3. Certified Associate in Python Programming (PCAP)Python is an interpreted, general-purpose, and high-level programming language developed by Guido Van Rossum. Python released in 1991 and within 5 to 6 years, this programming language become the most popular and widely used programming language in various disciplines. 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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Most Popular Programming Certifications for 2021

Programming is at the core of software development... Read More

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 OCAJP (Applicable for Java SE 8 & Java SE 11)It 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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