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Introduction to Yield in Python

When we write a function, which should perform some operation and provide some result back, we generally use the return statement for returning the result.The yield statement is only used when defining a generator function and is only used in the body of the generator function. Yield are used in Python generators. A python generator is defined like a normal function, but whenever it will needto generate a value, it does so with the yield keyword rather than return. If the body of a def function contains yield, the function will becomea generator function. A Python generator is a function return a generator iterator (just an object we can iterate over) by calling yield .Yield maybe called with a value, in which case that value is treated as the "generated" value. Yield is a keyword in Python that will used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Return sends a value back to its caller, whereas yield can produce a sequence of values. We must use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory so in that case you can use yield Python generators. The function will continue the execution immediately after the last yield run. It will allow its code to produce a series of values and sending them back like a list.Example:In the above example, yield is the keyword and 1, 2, 3 are the values that will store in the generator and to print the value inside the generator we are using for loop. We can use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory.Explaining the Iterables: To understand what yield does, you must understand what generators are. And before generators come iterables.Aniterable is any Python object capable of returning its members one at a time, permitting it to be iterated over in a for-loop. Ex- iterables include lists, tuples, and strings - any such sequence can be iterated over in a for-loop. In simpler words, whatever that will appear on the right-side of a for-loop: for x in iterable:  is aniterable.Iterablecan be anything that you can loop over with a for loop.An object can becallediterable,if we can get an iterator from iterable. Maximum built-in containers in Python like: list, tuple, string etc. areiterables.Important property(Method) of an iterable is that it has an __iter__() method or iter() method which allows any iterable to return an iterator object. Sequences Sequences are a very common type of iterable. Ex- for built-in sequence types are lists, strings, and tuples.Iterable will support element access using integer indices via the __getitem()__ special method (indexing) and define a __length()__ method that returns the length of the sequence. Also, we can use the slicing technique on them.Other IterablesMany things in Python are iterables, but not all of them are sequences. Dictionaries, file objects, sets, and generators all are iterables, but none of them is a sequence.We can loop over an iterable without using a for loop. Some of us may think that we can use a while loop and generate indices to get this output.It seems that this approach works very well for lists and other sequence objects as well. What about the non-sequence objects? They don’t support indexing, so this approach will not work for them, we will get an error.But how the Python’s for loop works on these iterables then? We can see that it works with sets.When you create a list, you can read its items one by oneWhat is an Iterator? Iterator is an object which can be looped through and maintains its state during the iteration which means it remembers where it is during an iteration. An iterator is an object that enables a programmer to traverse a container, particularly lists. Different types of iterators are often provided via a container's interface. It has a __next__() method that returns the next value from the iteration and updates the state to point at the next value. Iterator is simplyan object that can be iterated upon. An object it will return data, one element at a time.Python iterator object must implement two special methods, that is __iter__() and __next__() , collectively called the iterator protocol.Thepurpose of an iterator is allow to process with every element of a container while isolating the user from the internal structure of the container. The container provides the methods for creating iterators. Iterator is an object and it will represent a stream of data. You can create an iterator object by applying the iter() function to an iterable.Difference between iterable and iterator. Iterable is an object, which can iterate over. It will create an Iterator when passed to iter() method. Iterator is an object, which is used to iterate over an iterable object using __next__() method. For example, a list is iterable but a list is not an iterator.When we will apply the iter() function to an iterable we will get an iterator. If we will call the iter() function on an iterator it will give us itself back in python.You can use an iterator to manually loop over the iterable it came from. if repeated passing of iterator to the built-in function next() it will return successive items in the stream. Once, when you consumed an item from an iterator, it has gone. When data aren’t available it will give us a StopIteration and exception is raised.Iterators also have the __iter__() method and it will return self object.List is an iterable. When you will use a list comprehension, you create a list, and so an iterableThese iterables are handy because you can read them, but you store all the values in memory and it’s not always what you want when you have a lot of values. Iterator Protocol The iterator objects are required to support the following two methods, which together form the iterator protocol: iterator.__iter__() Return the iterator object itself. This is required to allow both containers and iterators to be used with the for statements. iterator.__next__() Return the next item from the container. If there are no items, then it will raise the StopIteration exception. We have seen some examples with iterators. Python has many built-in-classes that are iterators. Ex- an enumerate and reversed objects are iterators. Enumerate ExampleReversed ExampleThe Python’s zip, map and filer objects are also iterators. Explaining the Generators: A Generator is a function use to store the value by using yield keyword. A function which returns a generator iterator. This is a normal function only except that it will contains yield expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the next() function in python.If function will contains the yield keyword then that function will become a generator and you can print the value by using for loop.You can convert a function into generator simply you need to use yield keyword in below example you can see that we can use multiple yield statement to return the dataIn above example, we defined new_generator() function in this we have assign a variable n and giving the value as 1 then print the statement and then yield the valueIf we execute generator function as a normal function then it will give us the object so for that we have to store the function in the variable x then we have use next method for executionYielding into Python List:We can use directly generator for making a list and we can store the value inside the mylist then we can print the mylist by using for loopPython Generators with a Loop:In the below example, we defined a function i.e. reverse_string and it is a generator because we are using yield keyword and we are iterating each word from the statementGenerator Expressions in Python: We use a generator function or generator expression when we want to create a custom iterator. They are simpler to use and need less code to achieve the output. Generator expressions are similar to the list comprehensions,Just like a list comprehension, the general expressions are concise. In most cases, they use to written in one line of code.An expression that returns an iterator. It looks like a normal expression followed by a for expression defining a loop variable, range, and an optional if expression ex,We can also add a conditional expression on the iterable. You can see in the above example, we did square root of the even number, we directly print the value without store the single value and we print the class i.e. generator  Explaining the Yield: Yield is a simple statement. Its primary job is to control the flow of a generator function similar tothat return statements. Yield that is used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Any function that will present a yield keyword is termed as generator When you call a generator function or use a generator expression, you return a iterator called a generator. You can try to assign this generator to a variable in order to use it. When you will call to special methods on the generator, such as next(), the code within the function is executed till yield. When the yield statement is hit, the program suspends function execution and returns the yielded value to the caller. (Return stops function execution completely.) When a function is suspended, the state of that function is saved. This includes any variable bindings local to the generator in python, the instruction pointer, the internal stack, and any exception handling. This allows you to resume function execution whenever you will call one of the generator’s methods. Like this, all function evaluation picks back up right after yield. You can see this in action by using multiple yield statements:In the above example, we defined a function i.e. counter consist of while loop which has one condition (x < 5) and is yielding the value of x and then it will increment by 1. If we use yield keyword in the function then that function will become as Generator Yield is the special keyword in python, yield will know what it execute in the last time.In the above function, when we executed first time we are getting 0 as output but in the second execution it will increment by 1 and we got 1 as output and again it will iterate the loop till the condition will not satisfy. When we use yield keyword in the function it will store the state of the local variableExample:In the above example, you can see that with the help of yield keyword It is easy to find the word inside the string statement and it will count the number of times that word will occur because yield keyword will know the last state Benefits of yield: Using a yield statement in a function definition is sufficient to cause that definition to create a generator function instead of a normal function. We should use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory yield is used in Python generators. A generator function or expression will defined like a normal function, but whenever it needs to generate a value, it does so with the yield keyword rather than return. Conclusion:In this tutorial, you have learned about Iterable, Generator functions, Yield Iterable: An iterable is something you can loop over. Sequences are a very common type of iterable. So many things in Python are iterables, but not all of them are in sequences. An iterator is an object and it will represent a stream of data. It does the iterating over an iterable. You can use an iterator in python to get the next value or to loop over it. Once, your loop over an iterator, there are no more stream values. Additionally, in Python, the iterators are also iterables which act as their own iterators. However, the difference is that iterators don’t have some of the features that some iterables have. They don’t have length and can’t be indexed. Many built-in classes in Python are iterators. Generator: We have learnt, how to use and write generator functions and generator expressions A generator function is a function which returns an iterator. A generator expression is an expression that returns an iterator. Yield: The yield keyword in python is used to return a value from a function(just like return ) but this keyword also maintains the state of the local variables of the function and when the function is called again in python, the execution is started from the yield statement executed last time. We should use python yield when we want to iterate over a sequence but don't want to store the entire sequence in memory

Introduction to Yield in Python

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Introduction to Yield in Python

When we write a function, which should perform some operation and provide some result back, we generally use the return statement for returning the result.The yield statement is only used when defining a generator function and is only used in the body of the generator function. Yield are used in Python generators. A python generator is defined like a normal function, but whenever it will needto generate a value, it does so with the yield keyword rather than return. If the body of a def function contains yield, the function will becomea generator function. 

A Python generator is a function return a generator iterator (just an object we can iterate over) by calling yield .Yield maybe called with a value, in which case that value is treated as the "generated" value. Yield is a keyword in Python that will used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Return sends a value back to its caller, whereas yield can produce a sequence of values. We must use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory so in that case you can use yield Python generators. The function will continue the execution immediately after the last yield run. It will allow its code to produce a series of values and sending them back like a list.

Example:

Introduction to Yield in Python

In the above example, yield is the keyword and 1, 2, 3 are the values that will store in the generator and to print the value inside the generator we are using for loop. We can use yield when we want to iterate over a sequence, but don't want to store the entire sequence in memory.

Explaining the Iterables: 

To understand what yield does, you must understand what generators are. And before generators come iterables.Aniterable is any Python object capable of returning its members one at a time, permitting it to be iterated over in a for-loop. Ex- iterables include lists, tuples, and strings - any such sequence can be iterated over in a for-loop. 

In simpler words, whatever that will appear on the right-side of a for-loop: for x in iterable:  is aniterable.Iterablecan be anything that you can loop over with a for loop.An object can becallediterable,if we can get an iterator from iterable. Maximum built-in containers in Python like: list, tuple, string etc. areiterables.Important property(Method) of an iterable is that it has an __iter__() method or iter() method which allows any iterable to return an iterator object. 

Sequences 

Sequences are a very common type of iterable. Ex- for built-in sequence types are lists, strings, and tuples.

Introduction to Yield in Python

Iterable will support element access using integer indices via the __getitem()__ special method (indexing) and define a __length()__ method that returns the length of the sequence. 

Also, we can use the slicing technique on them.

Introduction to Yield in Python

Other Iterables

Many things in Python are iterables, but not all of them are sequences. Dictionaries, file objects, sets, and generators all are iterables, but none of them is a sequence.

Introduction to Yield in Python

We can loop over an iterable without using a for loop. Some of us may think that we can use a while loop and generate indices to get this output.

Introduction to Yield in Python

It seems that this approach works very well for lists and other sequence objects as well. What about the non-sequence objects? They don’t support indexing, so this approach will not work for them, we will get an error.

Introduction to Yield in Python

But how the Python’s for loop works on these iterables then? We can see that it works with sets.

Introduction to Yield in Python

When you create a list, you can read its items one by one

Introduction to Yield in Python

What is an Iterator? 

Iterator is an object which can be looped through and maintains its state during the iteration which means it remembers where it is during an iteration. An iterator is an object that enables a programmer to traverse a container, particularly lists. Different types of iterators are often provided via a container's interface. 

It has a __next__() method that returns the next value from the iteration and updates the state to point at the next value. Iterator is simplyan object that can be iterated upon. An object it will return data, one element at a time.Python iterator object must implement two special methods, that is __iter__() and __next__() , collectively called the iterator protocol.Thepurpose of an iterator is allow to process with every element of a container while isolating the user from the internal structure of the container. The container provides the methods for creating iterators. Iterator is an object and it will represent a stream of data. You can create an iterator object by applying the iter() function to an iterable.

Introduction to Yield in Python

Difference between iterable and iterator. Iterable is an object, which can iterate over. It will create an Iterator when passed to iter() method. Iterator is an object, which is used to iterate over an iterable object using __next__() method. For example, a list is iterable but a list is not an iterator.

Introduction to Yield in Python

When we will apply the iter() function to an iterable we will get an iterator. If we will call the iter() function on an iterator it will give us itself back in python.

Introduction to Yield in Python

You can use an iterator to manually loop over the iterable it came from. if repeated passing of iterator to the built-in function next() it will return successive items in the stream. Once, when you consumed an item from an iterator, it has gone. When data aren’t available it will give us a StopIteration and exception is raised.

Introduction to Yield in Python

Iterators also have the __iter__() method and it will return self object.
List is an iterable. When you will use a list comprehension, you create a list, and so an iterable

Introduction to Yield in Python

These iterables are handy because you can read them, but you store all the values in memory and it’s not always what you want when you have a lot of values. 

Iterator Protocol 

The iterator objects are required to support the following two methods, which together form the iterator protocol: 

  • iterator.__iter__() Return the iterator object itself. This is required to allow both containers and iterators to be used with the for statements. 
  • iterator.__next__() Return the next item from the container. If there are no items, then it will raise the StopIteration exception. 

We have seen some examples with iterators. Python has many built-in-classes that are iterators. Ex- an enumerate and reversed objects are iterators. 

Enumerate Example

Introduction to Yield in Python

Reversed ExampleIntroduction to Yield in PythonThe Python’s zip, map and filer objects are also iterators. 

Explaining the Generators: 

A Generator is a function use to store the value by using yield keyword. A function which returns a generator iterator. This is a normal function only except that it will contains yield expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the next() function in python.If function will contains the yield keyword then that function will become a generator and you can print the value by using for loop.You can convert a function into generator simply you need to use yield keyword in below example you can see that we can use multiple yield statement to return the data

Introduction to Yield in Python

In above example, we defined new_generator() function in this we have assign a variable n and giving the value as 1 then print the statement and then yield the value

If we execute generator function as a normal function then it will give us the object so for that we have to store the function in the variable x then we have use next method for execution

Yielding into Python List:

We can use directly generator for making a list and we can store the value inside the mylist then we can print the mylist by using for loop

Introduction to Yield in Python

Python Generators with a Loop:

In the below example, we defined a function i.e. reverse_string and it is a generator because we are using yield keyword and we are iterating each word from the statement

Introduction to Yield in Python

Generator Expressions in Python: 

We use a generator function or generator expression when we want to create a custom iterator. They are simpler to use and need less code to achieve the output. 

Generator expressions are similar to the list comprehensions,Just like a list comprehension, the general expressions are concise. In most cases, they use to written in one line of code.

Introduction to Yield in Python

An expression that returns an iterator. It looks like a normal expression followed by a for expression defining a loop variable, range, and an optional if expression ex,

Introduction to Yield in Python

We can also add a conditional expression on the iterable. Introduction to Yield in Python

You can see in the above example, we did square root of the even number, we directly print the value without store the single value and we print the class i.e. generator  

Explaining the Yield: 

Yield is a simple statement. Its primary job is to control the flow of a generator function similar tothat return statements. Yield that is used to return from a function without destroying the states of its local variable and when the function is called, the execution starts from the last yield statement. Any function that will present a yield keyword is termed as generator 

When you call a generator function or use a generator expression, you return a iterator called a generator. You can try to assign this generator to a variable in order to use it. When you will call to special methods on the generator, such as next(), the code within the function is executed till yield. 

When the yield statement is hit, the program suspends function execution and returns the yielded value to the caller. (Return stops function execution completely.) When a function is suspended, the state of that function is saved. This includes any variable bindings local to the generator in python, the instruction pointer, the internal stack, and any exception handling. 

This allows you to resume function execution whenever you will call one of the generator’s methods. Like this, all function evaluation picks back up right after yield. You can see this in action by using multiple yield statements:

Introduction to Yield in Python

Introduction to Yield in Python

In the above example, we defined a function i.e. counter consist of while loop which has one condition (x < 5) and is yielding the value of x and then it will increment by 1. 

If we use yield keyword in the function then that function will become as Generator 

Introduction to Yield in Python

Yield is the special keyword in python, yield will know what it execute in the last time.In the above function, when we executed first time we are getting 0 as output but in the second execution it will increment by 1 and we got 1 as output and again it will iterate the loop till the condition will not satisfy. When we use yield keyword in the function it will store the state of the local variable

Example:

Introduction to Yield in Python

In the above example, you can see that with the help of yield keyword It is easy to find the word inside the string statement and it will count the number of times that word will occur because yield keyword will know the last state 

Benefits of yield: 

  • Using a yield statement in a function definition is sufficient to cause that definition to create a generator function instead of a normal function. 
  • We should use yield when we want to iterate over a sequence but don't want to store the entire sequence in memory 
  • yield is used in Python generators. A generator function or expression will defined like a normal function, but whenever it needs to generate a value, it does so with the yield keyword rather than return. 

Conclusion:

In this tutorial, you have learned about Iterable, Generator functions, Yield 

Iterable: 

  • An iterable is something you can loop over. 
  • Sequences are a very common type of iterable. 
  • So many things in Python are iterables, but not all of them are in sequences. 
  • An iterator is an object and it will represent a stream of data. It does the iterating over an iterable. You can use an iterator in python to get the next value or to loop over it. Once, your loop over an iterator, there are no more stream values. 
  • Additionally, in Python, the iterators are also iterables which act as their own iterators. 
  • However, the difference is that iterators don’t have some of the features that some iterables have. They don’t have length and can’t be indexed. 
  • Many built-in classes in Python are iterators. 

Generator: 

  • We have learnt, how to use and write generator functions and generator expressions 
  • A generator function is a function which returns an iterator. 
  • A generator expression is an expression that returns an iterator. 

Yield: 

The yield keyword in python is used to return a value from a function(just like return ) but this keyword also maintains the state of the local variables of the function and when the function is called again in python, the execution is started from the yield statement executed last time. We should use python yield when we want to iterate over a sequence but don't want to store the entire sequence in memory

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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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Top-Paying 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 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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