Python Tutorial For Beginners With Examples – Learn Python In One Day

Python Tutorial For Beginners With Examples. Learn Python In One Day by following this blog post. Coding compiler has done it’s best to share this Python tutorial with examples. Let’s start learning Python programming in a day to get started with Python language. All the best for your future and happy python learning.

Python Tutorial For Beginners

The first question, what is Python? According to Guido van Rossum, the father of Python, Python is:

A high-level programming language whose core design philosophy is code readability and syntax that allows programmers to express their ideas with very little code.

For me, the primary reason to learn Python is that it is a language that can be gracefully programmed. It’s easy and natural to write code and implement my ideas.

What is Python Used For?

Another reason is that we can use Python in many places: data science, web development, machine learning, and so on, all can be developed using Python. Google, Quora, Pinterest, and Spotify all use Python for their backend Web development. Let’s learn about Python now.

Python Basics For Beginners

Here we go with learning Python in one day.

1. Python Variables

You can think of a variable as a word for storing a value. Let’s see an example.

It’s easy to define a variable in Python and assign it a value. If you want to store the number one to the variable “one,” let’s try it out:

In addition to an integer, we can also use the True / False, string, float and other data types.

 # booleanstrue_boolean = Truefalse_boolean = False# stringmy_name = "Leandro Tk"# floatbook_price = 15.80

 2. Python Control flow: conditional statement

” If ” uses an expression to determine whether a statement is True or False. If True, execute the code in if, as shown in the following example:

if True:
  print(“Hello Python If”)if 2 > 1:
  print(“2 is greater than 1”)

2 is larger than 1, so the print code is executed.

When the expression in ” if ” is false, the ” else ” statement will be executed.

1 is smaller than 2, so the code in ” else ” will be executed.

You can also use the “elif ” statement:

3. Python Loop and iterate

In Python, we can iterate in different ways. I will say while and for.

Python While Loop: While the statement is True, while the code block inside will be executed. So the code below prints 1 through 10.

The while loop needs a loop condition, and if condition, on is always true, it iterates all the time, with a loop condition of false when num’s value is 11.

Another piece of code can help you better understand the use of the while statement:

The loop condition is True so it iterates until it’s False.

Python For loop : You can apply the variable ” num ” on the block of code , and the “for” statement will iterate over it for you. This code will print the same code as in while : from 1 to 10.

Did you see? This is too simple. The range of i starts from 1 until the eleventh element (10 is the tenth element).

Python List: collection | array | data structure

Suppose you want to store the integer 1 in a variable, but you also want to store 2 and 3, 4, 5 …

Instead of using hundreds or thousands of variables, I have other ways to store these integers that I want to store? As you have already guessed, there are other ways to store them.

The list is a collection that can store a list of values (just like what you want to store), then let’s use it:

This is really easy. We created an array called my_integer and put the data in it.

Maybe you might ask, “How do I get the value in the array?”

Ask good. The list has a concept called indexing. The following table of the first element is index 0 (0). The second index is 1, and so on, you should understand.

In Python’s syntax, it is also good to understand:

If you do not want to save the whole number. You just want to save some strings, like your relative’s list of names. My look is similar to this:

Its principle is the same as storing an integer, very friendly.

We only learned how the index of a list works and I also need to tell you how to add an element to the list’s data structure (add an item to the list).

The most common way to add new data to the list is to splicing. Let’s take a look at how it is used:

Stitching super easy, you only need to put an element (such as “valid machine”) as the splicing parameters.

Well, the list of knowledge is enough, let’s take a look at the other data structures.

Python Dictionary: Key-Value Data Structure

Now we know that List is an indexed integer number set. But what if we do not use integer numbers as indexes? We can use some other data structures, such as numbers, strings or other types of indexes.

Let’s learn about this dictionaries data structure. A dictionary is a collection of key-value pairs. The dictionary is about this long:

Key is the index to value . How do we access the dictionary value ? You should guess, that is the use of key. Let’s try it out

We have a key (age) value (24) that uses a string as the key integer for value .

I created a dictionary about me that contains my name, nickname, and nationality. These attributes are the keys in the dictionary.

Just as we have learned of using an index to access a list, we also use an index (the key in the dictionary is an index) to access the value stored in the dictionary.

As we use the list, let’s learn how to add elements to the dictionary. The dictionary mainly points to the value of the key. The same is true when we add elements:

We only need to point a key in a dictionary to a vvalue. No hardship, right?

Python Iteration: Loop through the data structure

As we learned in the basics of Python, List iteration is simple. We Python developers usually use For loops. Let’s try it out

For each book on the shelf, we print ( can do anything ) to the console. Super easy and intuitive. This is the beauty of Python.

We can also use the for loop for the hash data structure, but we need to use the key:

The above is an example of how to use a For loop in a dictionary. For each key in the dictionary, we print out the value of key and key.

We named the two parameters key and value, but this is not necessary. We are free to name it. Let’s take a look:

You can see that we use the attribute as the key parameter in the dictionary, which has the same effect as using key naming. Really great!

Python Classes & Objects

Some theories:

Objects are representations of real-world entities, such as cars, dogs, or bicycles. These objects share two main features in common: data and behavior.

Cars have data such as the number of wheels, the number of doors and the seat space, and they can show their behavior: they can accelerate, stop, show how much fuel left, and many more.

We treat the data as attributes and behaviors in object-oriented programming. Again expressed as:

Data → Properties and Behaviors → Methods

The class is a blueprint to create a single object. In the real world, we often find many objects of the same type. For example, cars. All cars have the same structure and model (all with an engine, wheels, doors, etc.). Each car is constructed from the same blueprint and has the same components.

Python object-oriented programming model: ON

Python, as an object-oriented programming language, has the notion of classes and objects.

A class is a blueprint that is a model of the object.

So, a class is a model or a way to define properties and behaviors (as we discussed in the theory section). For example, a vehicle class has its own properties that define what kind of vehicle this object is. The attributes of a car are the number of wheels, energy type, seat capacity and a maximum speed of these.

With that in mind, let’s take a look at the syntax of Python’s classes :

Above the code, we use the class statement to define a class. Is not it easy?

An object is a class instantiation, which we can instantiate by class name.

Here, car is an object (or instantiation) of class Vehicle.

Remember the vehicle class has four attributes: the number of wheels, fuel tank type, seat capacity and maximum speed. When we create a new vehicle object to set all the attributes. So here, we define a class that accepts parameters when it’s initialized:

This init method. We call this a constructor. So when we create a vehicle object, we can define these properties. Imagine we like Tesla Model S, so we want to create an object of this type. 

It has four wheels, uses electric energy, five seats and a maximum speed of 250 kilometers (155 miles). Let’s start by creating an object like this :

Four + energy + five + maximum speed of 250 km.

All the properties have been set. But how do we access these property values? We send a message to the object to request that value from it. We call this method. It is the behavior of the object. Let’s achieve it:

This is the implementation of the two methods number_of_wheels and set_number_of_wheels. We call it getter & setter. Because the first function is to get the property value, the second is to set a new value for the property.

In Python, we can use @property (modifier) to define getters and setters. Let’s take a look at the actual code:

And we can use these methods as properties:

This is slightly different from the method definition. The method here is based on the property. For example, when we set the new number of tires, we do not regard these two as parameters, but set the value 2 to number_of_wheels. This is a way of writing python-style getter and setter code.

But we can also use this method for other things, such as the ” make_noise ” method. let us see:

When we call this method, it simply returns a string  VRRRRUUUUM. 

Python Package: Hide information

Encapsulation is a mechanism that limits direct access to object data and methods. At the same time, however, it makes it easier to manipulate data (object methods).

“Package can be used to hide data members and member functions in accordance with this definition, it means that the package. Objects inside an external view showing typically hidden in the object definition.” – Wikipedia

All internal representations of objects are hidden from the outside. Only the object itself can interact with its internal data.

First, we need to understand how open and closed instance variables and methods work.

Public instance variables

For the Python class, we can initialize a public instance variable in our constructor method. Let’s take a look at this one:

In this construction method:

Here, we apply the first_name value as a parameter to the public instance variables.

In the class:

Here, we do not need to first_name as a parameter, all instance objects have a class attribute initialized with TK.

Too cool, and now we have learned that we can use public instance variables and class properties. Another interesting thing about the public part is that we can manage the values of the variables. What do I mean? Our object can manage its variable values: Get and Set variable values.

Still in the Person class, we want to set another value for its first_name variable:

This is fine, we just set another value (kaio) for the first_name instance variable and update the value. It’s that simple. Because this is a public variable, we can do that.

Python Non-public instance variables

We do not use the term “private” here because all of the properties in Python are not really private (there is usually no unnecessary amount of work). -  PEP 8

As public instance variable(public instance variables), we can define non-public instance variable(non-public instance variables) inside the constructor or class.

The difference in the syntax is that for non-public instance variables(non-public instance variables), an underscore (_) is used before the variable name.

“Private ‘instance variables that are not accessible from inside the object do not exist in Python, however, there is a convention that most Python code will follow: underscore names (such as _spam) should be considered as Non-public part of API (whether function, method, or data member) “

Here is sample code:

Have you seen the email variable yet? This is how we define non-public variables:

We can access and update it. Non-public variables are just a matter of usage and should be treated as a non-public part of the API.

So we use a method within the class definition to implement this functionality. Let’s implement two methods (email and update_email) to deepen our understanding:

Now we can use these two methods to update and access non-public variables. Here is an example

  1. We initialized a new object using first_name TK and email [email protected]
  2. Use the method to access a non-public variable email and output it
  3. Try setting a new email outside the class
  4. We need to treat non-public variables as non-public parts of the API
  5. Use our instance method to update the non-public variables
  6. Success! We’ve updated it inside the class using helper methods.

Python Public method

For public methods, we can also use them in classes:

Let’s test it:

That’s fine – we have no problems using it in our class.

Python Non-public methods

But with a non-public method, we can not do that. If we want to implement the same Person class, we now use the underscore (_) show_age non-public method.

Now, we will try to invoke this non-public method with our object:

We can access and update it. The non-public method is just a convention and should be considered as a non-public part of the API.

Here’s an example of how we can use it:

Here’s a _get_age non-public method and a show_age public method. show_age can be used by our object (not in our class), while _get_age is only used in our class definition (in the show_age method). But again, this is usually the practice.

Python Package summary

Through the package, we can ensure that the internal representation of the object is hidden from the outside.

Python Inheritance: Behavior and Features

Some objects have something in common: their behavior and characteristics.

For example, I inherited some of my father’s features and behaviors. I inherited the characteristics of his eyes and hair, as well as his impatience and introverted behavior.

In object-oriented programming, a class can inherit the common characteristics (data) and behaviors (methods) of another class.

Let’s look at another example and implement it in Python.

Imagine the car. The number of wheels, seat capacity, and maximum speed are all attributes of a car. We can say that the ElectricCar class inherits these same properties from the normal Car class.

The realization of our Car class:

Once initialized, we can use all created instance variables. awesome.

In Python, we inherit the parent class as a child argument. An ElectricCar class can inherit our Car class.

It’s that simple. We do not need to implement any other method because this class has completed the inheritance of the parent class (inherited from the Car class). Let’s prove:

Thats beautiful. Original Source.

Other Python Tutorials

What is Python – A Beginners Guide

Advantages of Python Programming

Advantages of Python And Disadvantages of Python

Advantages of Python And Disadvantages of Python. Here in this blog post Coding compiler sharing a detailed article on python advantages and python disadvantages. Let’s start reading, happy learning.

Advantages of Python

  1. Easy Syntax
  2. Readability
  3. High-Level Language
  4. Object-oriented programming
  5. It’s Opensource and Free
  6. Cross-platform
  7. Widely Supported
  8. It’s Safe
  9. Batteries Included
  10. Extensible

Related Article: What is Python – A Beginners Guide

    Python Advantages

    Let’s discuss about Advantages of Python in detail.

    Easy Syntax of Python

    Python’s syntax is easy to learn, so both non-programmers and programmers can start programming right away.

Very Clear Readability of Python

Python’s syntax is very clear, so it is easy to understand program code. (Python is often referred to as “executable pseudo-code” because its syntax mostly follows the conventions used by programmers to outline their ideas without the formal verbosity of code in most programming languages.
In other words, syntax of Python is almost identical to the simplified “pseudo-code” used by many programmers to prototype and describe their solution to other programmers. Thus Python can be used to prototype and test code which is later to be implemented in other programming languages).

Python High-Level Language

Python looks more like a readable, human language than like a low-level language. This gives you the ability to program at a faster rate than a low-level language will allow you.

Python Object-oriented programming

Object-oriented programming allows you to create data structures that can be re-used, which reduces the amount of repetitive work that you’ll need to do. Programming languages usually define objects with namespaces, like class or def, and objects can edit themselves by using keyword, like this or self.
Most modern programming languages are object-oriented (such as Java, C++, and C#) or have support for OOP features (such as Perl version 5 and later). Additionally, object-oriented techniques can be used in the design of almost any non-trivial software and implemented in almost any programming or scripting language.
Python’s support for object-oriented programming is one of its greatest benefits to new programmers because they will be encountering the same concepts and terminology in their work environment. If you ever decide to switch languages or use any other for that fact, you’ll have a significant chance that you’ll be working with object-oriented programming.

Python Is Open-Source and Free

Python is both free and open-source. The Python Software Foundation distributes pre-made binaries that are freely available for use on all major operating systems called CPython. You can get CPython’s source-code, too. Plus, you can modify the source code and distribute as allowed by CPython’s license.

Python is a Cross-platform

Python runs on all major operating systems like Microsoft Windows, Linux, and Mac OS X.

Python Widely Supported Programming Language

Python has an active support community with many websites, mailing lists, and USENET “netnews” groups that attract a large number of knowledgeable and helpful contributes.

Python is a Safe

Python doesn’t have pointers like other C-based languages, making it much more reliable. Along with that, errors never pass silently unless they’re explicitly silenced. This allows you to see and read why the program crashed and where to correct your error.

Python Batteries Included Language

Python is famous for being the “batteries are included” language. There are over 300 standard library modules which contain modules and classes for a wide variety of programming tasks.
For example the standard library contains modules for safely creating temporary files (named or anonymous), mapping files into memory (including use of shared and anonymous memory mappings), spawning and controlling sub-processes, compressing and decompressing files (compatible with gzip or PK-zip) and archives files (such as Unix/Linux “tar”).
Accessing indexed “DBM” (database) files, interfacing to various graphical user interfaces (such as the TK toolkit and the popular WxWindows multi-platform windowing system), parsing and maintaining CSV (comma-separated values) and “.cfg” or “.ini” configuration files (similar in syntax to the venerable WIN.INI files from MS-DOS and MS-Windows), for sending e-mail, fetching and parsing web pages, etc. It’s possible, for example, to create a custom web server in Python using less than a dozen lines of code, and one of the standard libraries, of course.

Python is Extensible

In addition to the standard libraries there are extensive collections of freely available add-on modules, libraries, frameworks, and tool-kits. These generally conform to similar standards and conventions.
For example, almost all of the database adapters (to talk to almost any client-server RDBMS engine such as MySQL, Postgres, Oracle, etc) conform to the Python DBAPI and thus can mostly be accessed using the same code. So it’s usually easy to modify a Python program to support any database engine.

Disadvantages of Python

  1. Slower Speed
  2. Too Easy

Python is Slower Speed

Python is executed by an interpreter instead of compilation, which causes it to be slower than if it was compiled and then executed. However, for most applications, it is by far fast enough. One Python idiom is “Speed isn’t a problem until it’s a problem.”

Python is Too Easy

When one has mastered Python one can become so accustomed to its features, particularly its dynamic late-binding model and its many libraries, that it can be difficult to learn and become comfortable in other programming languages.
Specifically, the need to declare variable “types” and to “cast” values from one type to another and the syntactic requirements for adding semi-colons and curly braces used by other programming languages can be viewed as tedious or onerous by experienced Python programmers.
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Mulesoft Interview Questions And Answers For Experienced

Mulesoft Interview Questions And Answers For Experienced 2018. Here Coding compiler presenting a list of 25 Mule ESB interview questions and answers for experienced and freshers. This list of Mulesoft questions will help you to understand what kind of questions will be asked in Mule ESB interviews. All the best for your Mulesoft job interview and happy learning.

Mulesoft Interview Questions

  1. What is Mulesoft?
  2. What is Mule ESB?
  3. What is MuleSoft Anypoint platform used for?
  4. Is MuleSoft open source?
  5. What is Mulesoft used for?
  6. Is Mulesoft a middleware?
  7. Why do we need ESB?
  8. What are Web Services?
  9. What is the use of Web service?
  10. What are the different types of Web services?
  11. What is a REST web service?
  12. What are the advantages of RESTful web services?
  13. What is SOAP Web Service?
  14. What are the advantages of Soap Web Services?
  15. What is the difference between SOAP and REST?

Mulesoft Interview Questions And Answers

Mulesoft Interview Questions # 1) What is Mulesoft?

Answer ) MuleSoft provides the most widely used integration platform (Mule ESB & CloudHub) for connecting SaaS & enterprise applications in the cloud and on-premise.

Mulesoft Interview Questions # 2) What is Mule ESB?

Answer ) Mule ESB is the runtime engine of Anypoint Platform, is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data.

Mulesoft Interview Questions # 3) What is MuleSoft Anypoint platform used for?

Answer) MuleSoft’s Anypoint Platform of integration products is designed to tie together software as a service (SaaS) and on-premises software.

Mulesoft Interview Questions # 4) Is MuleSoft open source?

Answer ) MuleSoft is open source technology and it provides open source SOA middleware and related products.

Mulesoft Interview Questions # 5) What is Mulesoft used for?

Answer ) Mulesoft is an integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data.

Mule ESB Interview Questions # 6) Is Mulesoft a middleware?

Answer ) Mule Enterprise Service Bus is a middleware technology that quickly, easily, and securely connects the enterprise. Unlike typical middleware software, Mule as an ESB is a Java-based middleware solution that is easy to use and easy to scale.

Mule ESB Interview Questions # 7) Why do we need ESB?

Answer ) ESB, a middleware technology, is a Bus-like architecture used to integrate heterogeneous systems. In ESB, each application is independent and yet able to communicate with other systems. It, thus, prevents scalability issues and ensures that communication happens only through it.

Mule ESB Interview Questions # 8) What are Web Services?

Answer ) Web service is a functionality or a small piece of program in any programming language that can be accessed over HTTP. Message format can be XML or JSON or any other program as long as the other programs can understand and communicate.

A Web service can be of synchronous or asynchronous type. Any web service has a server-client relationship and it can have multiple clients.

Mule ESB Interview Questions # 9) What is the use of Web service?

Answer ) Web services are XML-based information exchange systems that use the Internet for direct application-to-application interaction. These systems can include programs, objects, messages, or documents. A web service is a collection of open protocols and standards used for exchanging data between applications or systems.

Mule ESB Interview Questions # 10) What are the different types of Web services?

Answer ) There are mainly two types of web services.

  • SOAP web services.
  • RESTful web services.

Mule ESB Interview Questions

Mule ESB Interview Questions # 11) What is a REST web service?

Answer ) Representational State Transfer (REST) is an architectural style that specifies constraints, such as the uniform interface, that if applied to a web service induce desirable properties, such as performance, scalability, and modifiability, that enable services to work best on the Web.

Mule ESB Interview Questions # 12) What are the advantages of RESTful web services?

Answer ) Advantages of RESTful Web Services

Fast: RESTful Web Services are fast because there is no strict specification like SOAP. It consumes less bandwidth and resource.

Language and Platform independent: RESTful web services can be written in any programming language and executed in any platform.

Can use SOAP: RESTful web services can use SOAP web services as the implementation.

Permits different data format: RESTful web service permits different data format such as Plain Text, HTML, XML and JSON.

Mule ESB Interview Questions # 13) What is SOAP Web Service?

Answer ) SOAP stands for Simple Object Access Protocol. It is a XML-based protocol for accessing web services. SOAP is a W3C recommendation for communication between two applications.

SOAP is XML based protocol. It is platform independent and language independent. By using SOAP, you will be able to interact with other programming language applications.

Mule ESB Interview Questions # 14) What are the advantages of Soap Web Services?

Answer ) WS Security: SOAP defines its own security known as WS Security.

Language and Platform independent: SOAP web services can be written in any programming language and executed in any platform.

Disadvantages of Soap Web Services:

Slow: SOAP uses XML format that must be parsed to be read. It defines many standards that must be followed while developing the SOAP applications. So it is slow and consumes more bandwidth and resource.

WSDL dependent: SOAP uses WSDL and doesn’t have any other mechanism to discover the service.

Mule ESB Interview Questions # 15) What is the difference between SOAP and REST?

Answer ) SOAP -> REST
1. SOAP is a protocol. -> REST is an architectural style.
2. SOAP stands for Simple Object Access Protocol. -> REST stands for REpresentational State Transfer.
3. SOAP can’t use REST because it is a protocol.  -> REST can use SOAP web services because it is a concept and can use any protocol like HTTP, SOAP.
4. SOAP uses services interfaces to expose the business logic.  -> REST uses URI to expose business logic.
5. SOAP defines standards to be strictly followed. -> REST does not define too much standards like SOAP.
6. SOAP defines standards to be strictly followed. -> REST does not define too much standards like SOAP.
7. SOAP requires more bandwidth and resource than REST. -> REST requires less bandwidth and resource than SOAP.
8. SOAP defines its own security. -> RESTful web services inherit security measures from the underlying transport.
9. SOAP permits XML data format only. -> REST permits different data format such as Plain text, HTML, XML, JSON etc.
10. SOAP is less preferred than REST. -> REST more preferred than SOAP.

Mule ESB Interview Questions And Answers

Mulesoft Interview Questions # 16) What is a Web service API?

Answer ) An API (Application Programming Interface) is the means by which third parties can write code that interfaces with other code. A Web Service is a type of API, one that almost always operates over HTTP (though some, like SOAP, can use alternate transports, like SMTP).

Mulesoft Interview Questions # 17) What is RAML?

Answer ) RAML stands for RESTful API Modeling Language is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.
RAML is similar to WSDL, it contains endpoint URL, request/response schema, HTTP methods and query and URI parameter.

Mulesoft Interview Questions # 18) Why we use RAML?

Answer) RAML helps client know, what the service is and how all the operations can be invoked. RAML helps the developer in creating the initial structure of this API. RAML can also be used for documentation purpose.

Mulesoft Interview Questions # 19) What are the different types of variables in Mule ESB?

Answer ) The different types of variables in Mule ESB are:

  • Flow Variable
  • Session Variable
  • Record Variable

Mulesoft Interview Questions # 20) What are the various types of Exception Handling in Mule ESB?

Answer ) The types of exception handling in Mule ESB are:

  1. Default Exception Handling
  2. Global Exception Handling
  3. Catch Exception Handling
  4. Choice Exception Handling

Mulesoft Interview Questions # 21) What are the Flow Processing Strategies?

Answer ) Synchronous Flow Processing Strategy, Queued Flow Processing Strategy, Asynchronous Flow Processing Strategy, Thread Per Processing Strategy, Queued Asynchronous Flow Processing Strategy, Non-blocking Flow Processing Strategy, Custom Processing Strategy, Rollback Exception Handling.

Advanced Mulesoft Interview Questions For Experienced

Mulesoft Interview Questions # 22) What is caching and why to use it?

Answer ) Caching is a concept with is used to store frequently used data in the memory, file system or database which saves processing time and load if it would have to be accessed from original source location every time.

Mulesoft Interview Questions # 23) What is Mule Cache Scope and what are its storage types?

Answer ) Caching in Mule ESB can be done by Mule Cache Scope. Mule Cache Scope has 3 storage types –

In-memory: This store the data inside system memory. The data stored with In-memory is non-persistent which means in case of API restart or crash, the data been cached will be lost.

Configuration Properties:

  • Store Name
  • Maximum number of entries
  • TTL (Time to live)
  • Expiration Interval

Managed-store: This stores the data in a place defined by ListableObjectStore. The data stored with Managed-store is persistent which means in case of API restart or crash, the data been cached will no be lost.

Configuration Properties:

  • Store Name
  • Maximum number of entries
  • TTL (Time to live)
  • Expiration Interval
  • Persistence (true/false)

Simple-test-file-store: This stores the data in a file. The data stored with Simple-test-file-store configuration is persistent which means in case of API restart or crash, the data been cached will no be lost.

Configuration Properties:

  • Store Name
  • Maximum number of entries
  • TTL (Time to live)
  • Expiration Interval
  • Persistence (true/false)
  • Name and location of the file

Mulesoft Interview Questions # 24) What are Flow Processing Strategies?

Answer ) Flow processing strategies in Mulesoft are:

  • Synchronous Flow Processing Strategy
  • Queued Flow Processing Strategy
  • Asynchronous Flow Processing Strategy
  • Thread Per Processing Strategy
  • Queued Asynchronous Flow Processing Strategy
  • Non-blocking Flow Processing Strategy
  • Custom Processing Strategy

Mulesoft Interview Questions # 25) How can we create and consume SOAP service in Mule?

Answer ) Creating SOAP Service – We can create a SOAP service same as we create Mule Project With RAML, the only change is instead of RAML we need to import Concert WSDL. Consuming SOAP Service – We can use Web Service Consumer or CXF component in our mule flow to access/consume SOAP service.


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What is Python? – What is Python Used For?

What is Python? – What is Python Used For? A Comprehensive Guide on Python for beginners. Here in this blog post Coding compiler sharing, complete beginners guide on Python programming. After going through this article you will understand exactly what is Python language, what are the uses of Python and what it used for. Let’s start reading about Python. Happy learning.

What is Python?

Python is a general-purpose programming language which can be used for a wide variety of applications. A great language for beginners because of its readability and other structural elements designed to make it easy to understand, Python is not limited to basic usage. In fact, it powers some of the world’s most complex applications and website.

What is Python Programming?

Python is an interpreted language, meaning that programs written in Python don’t need to be compiled in advance in order to run, making it easy to test small snippets of code and making code written in Python easier to move between platforms. Since Python is most operating systems in common use, Python is a universal language found in a variety of different applications.

Who Invented Python?

First developed in the late 80s by Guido van Rossum, Python is currently in its third version, released in 2008, although the second version originally released in 2000 is still in common usage.

Why use Python?

There are several reasons why Python could be a good choice for your next programming project, whether it’s your first attempt at coding or if you’re a seasoned developer looking for a new frontier.

Perhaps most importantly, Python has an enormous user community. This means that no matter what problem you’re trying to solve, chances are there is already strong documentation, tutorials, guides, and examples to help you along your way.

There are numerous integrated development environments and other development tools to choose from, and thousands of open source packages available to extend Python to do just about anything you can think of.

Related Article: What is Machine Learning?

Integrated Development Environments For Python

Benefits of Python

Python is widely used programming language and it is used by big companies like Google, Pinterest, Instagram, Disney, Yahoo!, Nokia, IBM, and many other big companies uses this Python language for their applications.
The Raspberry Pi majorly relies on Python as it’s main programming language too. Learning Python can increase your chances of reaching more hieghts in your career.
Other benefits include:
  1. Python can be used to develop prototypes, and quickly because it is so easy to work with and read.
  2. Most automation, data mining, and big data platforms rely on Python.
  3. Python allows for a more productive coding environment than massive languages like C# and Java. It will save the time of developers.
  4. Python is easy to read and write, even if you’re not a skilled programmer. Anyone can begin working with the Python programming language, all you have to do is practice. Practice makes perfect in Python.
  5. Python powers Django, a complete and open source web application framework.
  6. Python has a massive support from the community across the globe.

What is Python used for?

Python’s ease of use and compatibility across a variety of operating systems makes it an ideal language for a number of uses. Many complex websites either currently or historically have used Python to power their back ends, from YouTube to Instagram to Reddit, and thousands of other well-known examples. But Python isn’t only a web language.

Python is the primary language used for the massive cloud computing project OpenStack, powering private and public clouds in data centers all over the world.

It’s also used to write desktop software, like Calibre, OpenShot, and the original client for BitTorrent. Many application written in other languages, such as Blender, allow for scripting by users in Python. It’s also a popular language for machine learning, scientific, statistical, mathematical, and other types of specialized computing.

Related Article: What is Robotic Process Automation?

Is Python open source?

The Python language itself is managed by the Python Software Foundation, who offer a reference implementation of Python, called, CPython, under an open source license. You can even download the Python source code.

Besides the Python implementation itself is open source, many open source projects make use of Python, and Python has many libraries available for developers under open source licenses.

43 JSON Interview Questions And Answers 2018

JSON Interview Questions And Answers 2018. Here Coding compiler sharing a list of JSON interview questions & answers for freshers and experienced. This list JSON questions will help you to crack your next JSON job interview. All the best for your future and happy learning.

JSON Interview Questions

  1. What does JSON stand for?
  2. What is JSON?
  3. What programming languages supported by JSON?
  4. Is JSON is a language?
  5. What are the properties of JSON?
  6. Why do we use JSON?
  7. What is JSON data?
  8. What is the difference between XML and JSON?
  9. Why JSON format is better than XML?
  10. Is JSON markup language?

JSON Interview Questions And Answers

JSON Interview Questions # 1) What does JSON stand for?

Answer) JSON stands for “JavaScript Object Notation”.

JSON Interview Questions # 2) What is JSON?

Answer) JSON is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language, Standard ECMA.

JSON Interview Questions # 3) What programming languages supported by JSON?

Answer) JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others.

JSON Interview Questions # 4) Is JSON is a language?

Answer) JSON is a data format. It could be classified as a language, but not a programming language. Its relationship to JavaScript is that it shares its syntax (more or less) with a subset of JavaScript literals.

JSON Interview Questions # 5) What are the properties of JSON?

Answer) These properties make JSON an ideal data-interchange language.

JSON is built on two structures:

A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array.

An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence.

These are universal data structures. Virtually all modern programming languages support them in one form or another. It makes sense that a data format that is interchangeable with programming languages also be based on these structures.

JSON Interview Questions For Freshers

JSON Interview Questions # 6) Why do we use JSON?

Answer) The JSON format is often used for serializing and transmitting structured data over a network connection. It is used primarily to transmit data between a server and web application, serving as an alternative to XML.

JSON Interview Questions # 7) What is JSON data?

Answer) JSON, or JavaScript Object Notation, is a minimal, readable format for structuring data. In JSON data is nothing but a information. It is used primarily to transmit data between a server and web application, as an alternative to XML.

JSON Interview Questions # 8) What is the difference between XML and JSON?

Answer) The fundamental difference, which no other answer seems to have mentioned, is that XML is a markup language (as it actually says in its name), whereas JSON is a way of representing objects (as also noted in its name). This is what makes markup languages so useful for representing documents.

JSON Interview Questions # 9) Why JSON format is better than XML?

Answer) JSON and XML used different formats. When compared both JSON is easy to write and use it applications then XML. The XML format can also be determined by the XML DTD or XML Schema (XSL) and can be tested.

The JSON a data-exchange format which is getting more popular as the JavaScript applications possible format. Basically this is an object notation array. JSON has a very simple syntax so can be easily learned.

JSON Interview Questions # 10) Is JSON markup language?

Answer) JSON is like XML in that it is used to structure data in a text format and is commonly used to exchange data over the Internet. JSON is not a markup language. JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write.

Top JSON Interview Questions

11) What is JSON Text?

Answer) A JSON text is a sequence of tokens formed from Unicode code points that conforms to the JSON value grammar. The set of tokens includes six structural tokens, strings, numbers, and three literal name tokens.

The six structural tokens:
[ U+005B left square bracket
{ U+007B left curly bracket
] U+005D right square bracket
} U+007D right curly bracket
: U+003A colon
, U+002C comma

These are the three literal name tokens:
true U+0074 U+0072 U+0075 U+0065
false U+0066 U+0061 U+006C U+0073 U+0065
null U+006E U+0075 U+006C U+006C

Insignificant whitespace is allowed before or after any token. Whitespace is any sequence of one or more of the following code points: character tabulation (U+0009), line feed (U+000A), carriage return (U+000D), and space (U+0020). Whitespace is not allowed within any token, except that space is allowed in strings.

JSON Interview Questions # 12) What is JSON Value?

Answer) A JSON value can be an object, array, number, string, true, false, or null.

13) What is JSON Syntax?

A) JSON syntax is derived from JavaScript object notation syntax. Data is in name/value pairs. Data is separated by commas. Curly braces hold objects. Square brackets hold arrays.

JSON Interview Questions # 14) What is JSON Value?

Answer) In JSON, value holds some data. A value can be a string in double quotes, or a number, or true or false or null, or an object or an array. These structures can be nested.

Values in JSON must be one of the following data types:

  • a string
  • a number
  • an object (JSON object)
  • an array
  • a boolean
  • null

15) What is JSON Array?

Answer) An array structure is a pair of square bracket tokens surrounding zero or more values. An array is an ordered collection of values. An array begins with [ (left bracket) and ends with ] (right bracket). Values are separated by , (comma).

The values are separated by commas. The JSON syntax does not define any specific meaning to the ordering of the values. However, the JSON array structure is often used in situations where there is some semantics to the ordering.

Interview Quetions And Answers on JSON

JSON Interview Questions # 16) What is Number in JSON?

Answer) JSON Numbers – A number is very much like a C or Java number, except that the octal and hexadecimal formats are not used. A number is a sequence of decimal digits with no superfluous leading zero.

It may have a preceding minus sign (U+002D). It may have a fractional part prefixed by a decimal point (U+002E). It may have an exponent, prefixed by e (U+0065) or E (U+0045) and optionally + (U+002B) or – (U+002D). The digits are the code points U+0030 through U+0039.

Numeric values that cannot be represented as sequences of digits (such as Infinity and NaN) are not permitted.

17) What is JSON String?

Answer) A string is a sequence of zero or more Unicode characters, wrapped in double quotes, using backslash escapes. A character is represented as a single character string. A string is very much like a C or Java string.

A string is a sequence of Unicode code points wrapped with quotation marks (U+0022). All code points may be placed within the quotation marks except for the code points that must be escaped: quotation mark (U+0022), reverse solidus (U+005C), and the control characters U+0000 to U+001F. There are two-character escape sequence representations of some characters.

\” represents the quotation mark character (U+0022).
\\ represents the reverse solidus character (U+005C).
\/ represents the solidus character (U+002F).
\b represents the backspace character (U+0008).
\f represents the form feed character (U+000C).
\n represents the line feed character (U+000A).
\r represents the carriage return character (U+000D).
\t represents the character tabulation character (U+0009).

JSON Interview Questions # 18) What is JSON object?

Answer) An object is an unordered set of name/value pairs. An object begins with { (left brace) and ends with } (right brace). Each name is followed by : (colon) and the name/value pairs are separated by , (comma).

19) What is JSON RPA Java?

Answer) JSON-RPC is a simple remote procedure call protocol similar to XML-RPC although it uses the lightweight JSON format instead of XML (so it is much faster).

JSON Interview Questions # 20) What is a JSON parser?

Answer) JSON parser to parse JSON object and MAINTAIN comments. By using JSON, when receiving data from a web server, the data should be always in a string format. We use JSON.parse() to parse the data and it becomes a JavaScript object.

The JSON.parse() method parses a JSON string, constructing the JavaScript value or object described by the string. An optional reviver function can be provided to perform a transformation on the resulting object before it is returned.

Advanced JSON Interview Questions

21) Which browser provides native JSON support?

Answer) All modern browsers support native JSON encoding/decoding (Internet Explorer 8+, Firefox 3.1+, Safari 4+, and Chrome 3+). Basically, JSON.parse(str) will parse the JSON string in str and return an object, and JSON.stringify(obj) will return the JSON representation of the object obj.

JSON Interview Questions # 22) What is the difference between JSON parse and JSON Stringify?

Answer) JSON.stringify() is to create a JSON string out of an object/array. They are the inverse of each other. JSON.stringify() serializes a JS object into a JSON string, whereas JSON.parse() will deserialize a JSON string into a JS object.

23) What is the MIME type of JSON?

Answer) The MIME media type for JSON text is application/json . The default encoding is UTF-8.

JSON Interview Questions # 24) What is the use of JSON Stringify?

Answer) The JSON.stringify() method converts a JavaScript value to a JSON string, optionally replacing values if a replacer function is specified, or optionally including only the specified properties if a replacer array is specified.

25) What does JSON parse do?

Answer) The JSON.parse() method parses a JSON string, constructing the JavaScript value or object described by the string. An optional reviver function can be provided to perform a transformation on the resulting object before it is returned.

JSON Interview Questions # 26) What is serialization in Javascript?

Answer) The serialize() method creates a URL encoded text string by serializing form values. You can select one or more form elements (like input and/or text area), or the form element itself. The serialized values can be used in the URL query string when making an AJAX request.

27) What is Polyfill?

Answer) The JSON object is not supported in older browsers. We can work around this by inserting a piece of code at the beginning of your scripts, allowing use of JSON object in implementations which do not natively support it (like Internet Explorer 6) is called Polyfill.

JSON Interview Questions # 28) What is toJSON() method in JOSN?

Answer) The toJSON() method returns a string representation of the Date object.

29) What is JSONP?

Answer) JSONP stands for JSON with Padding. JSONP is a method for sending JSON data without worrying about cross-domain issues. JSONP does not use the XMLHttpRequest object. JSONP uses the <script> tag instead.

JSON Interview Questions # 30) What is the difference between JSON and JSONP?

Answer) JSONP is a simple way to overcome browser restrictions when sending JSON responses from different domains from the client. But the practical implementation of the approach involves subtle differences that are often not explained clearly. Here is a simple tutorial that shows JSON and JSONP side by side.

JSON Interview Questions For Experienced

31) What is serialization and deserialization in JSON?

Answer) JSON is a format that encodes objects in a string. Serialization means to convert an object into that string, and deserialization is its inverse operation. When transmitting data or storing them in a file, the data are required to be byte strings, but complex objects are seldom in this format.

JSON Interview Questions # 32) What is serialization of an object?

Answer) To serialize an object means to convert its state to a byte stream so that the byte stream can be reverted back into a copy of the object.

33) What is the use of JSON in Java?

Answer) The Java API for JSON Processing provides portable APIs to parse, generate, transform, and query JSON. JSON (JavaScript Object Notation) is a lightweight, text-based, language-independent data exchange format that is easy for humans and machines to read and write.

JSON Interview Questions # 34) Why do we use JSON in PHP?

Answer) A common use of JSON is to read data from a web server, and display the data in a web page. This chapter will teach you how to exchange JSON data between the client and a PHP server.

35) What is JSON Formatter?

Answer) The JSON Formatter & Validator helps debugging JSON data by formatting and validating JSON data so that it can easily be read by human beings.

JSON Interview Questions # 36) What is JSON Viewer?

Answer) JSON Viewer – Convert JSON Strings to a Friendly Readable Format.

37) What is JSON Validator?

Answer) The JSON Validator helps debugging JSON data by formatting and validating JSON data so that it can easily be read by human beings.

JSON Interview Questions # 38) Why do we use JSON in Android?

JSON stands for JavaScript Object Notation.It is an independent data exchange format and is the best alternative for XML.

Android provides four different classes to manipulate JSON data. These classes are JSONArray,JSONObject,JSONStringer and JSONTokenizer.

39) Why do we use JSON in Python?

Answer) Python programming language is used to encode and decode JSON objects.

Python encode() function encodes the Python object into a JSON string representation.

Python decode() function decodes a JSON-encoded string into a Python object.

JSON Interview Questions & Answers

JSON Interview Questions # 40) What is JSON in JavaScript?

Answer) JSON is derived from the JavaScript programming language, it is a natural choice to use as a data format in JavaScript. JSON, short for JavaScript Object Notation.

41) What is JSON Schema?

Answer) JSON Schema is a specification for JSON based format for defining the structure of JSON data.

JSON Interview Questions # 42) What are the advantages of JOSN?


  • It is used while writing JavaScript based applications that includes browser extensions and websites.
  • JSON format is used for serializing and transmitting structured data over network connection.
  • It is primarily used to transmit data between a server and web applications.
  • Web services and APIs use JSON format to provide public data.
  • It can be used with modern programming languages.

43) Can you write an example code in JSON?

Answer) The following example shows how to use JSON to store information related to books based on their topic and edition.

"book": [
"language": "Java",
"edition": "third",
"author": "Herbert Schildt"
"language": "C++",
"edition": "second"
"author": "E.Balagurusamy"


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