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Written By:
AdarshKumarSingh
15 minute read
pythonprogrammingcodingmachine learning

Top 12 Python Interview Questions

Posted in Programming   OCTOBER 13, 2021

Python Interview Question

Guido van Rossum created Python, which was initially made available to the public on February 20, 1991. For this reason, it is one of the most popular and frequently used programming languages since it is interpretive in nature. Another benefit of this language is that it's open-source and cost-free. The ease with which developers may learn python is a huge benefit. Python is well-suited for general-purpose programming because of its support for object-oriented programming.

Python's popularity is soaring, thanks in large part to its brevity and ability to perform many functions with fewer lines of code. Web Development, Web Scraping, and a variety of other fields utilize Python because of its ability to enable complex calculations utilizing powerful libraries. In India and across the globe, demand for python programmers is high as a result of this. These developers are in high demand because companies are ready to pay top dollar for their services. These frequently requested python interview questions and answers can help you ace your next round of interviews and get the job of your dreams. If you are new to Python Language and want to learn from Basic to Advanced Concepts, be sure to check out our Python Tutorial.

Q1: What is Python and what are its benefits?

Ans.- In general, Python is a high-level programming language with modules, objects, exceptions, and threads. It's an interpreted general-purpose language with automated memory management.

Using the appropriate tools and libraries and a general-purpose language like Python, it can build virtually any kind of program.

Python has several advantages, including a simple, easy, extendable, portable, and open-source data format. Open-source means it has a large community behind it. Third-party packages that promote modularity and reusability are supported in this language as well.

Reference: Getting Started With Python

Q2: What is a Python dictionary?

Ans.- Dictionary is a Python data type that represents an unordered mapping of distinct keys to values. It is changeable, which implies that it can be changed.

Curly braces are used to construct dictionaries, while square bracket notation is used to list them. For instance,

my_dict = {'name': 'Tom Hardy', 'age':39, 'films': ['Inception', 'Venom']} my_dict['age']

The essential words here are "name," "age," and "films." We can see that the corresponding values may be of various data kinds, including integers, texts, and lists, and we can also see how the value 39 is accessible through the associated key age.

Reference: Dictionaries in Python

Q3: What is the definition of scope resolution?


In Python, a scope is a piece of code within which an object stays relevant. Each Python object has its own scope. While namespaces uniquely identify all objects inside a program, these namespaces also have a specified scope within which their objects may be used without any prefix. It specifies a variable's accessibility and lifespan.


Consider the scope that is generated during code execution:

  • A local scope denotes the items included inside the current function.
  • The term "global scope" refers to the items that are accessible throughout the code's execution.
  • A module-level scope refers to all global objects in the program that are connected with the current module.
  • An outermost scope encompasses all accessible built-in names that may be invoked inside the application.

Q4: How is memory managed in Python?

Ans.- Python uses a private heap area to manage memory. As a result, it indicates that all objects and data structures will be contained inside a private heap.

Nonetheless, the developer will be denied access to this heap; instead, the Python mediator will take care of it. Simultaneously, the core API will enable developers to access certain Python tools and begin coding.

The memory manager allocates heap space for Python objects, while the built-in garbage collector uses unused memory to increase available heap space.

Q5: What are lambda functions?

Ans.- Lambda functions are used to refer to anonymous functions in Python. It is very helpful when attempting to summarize any function in a single brief paragraph.

Thus, rather than explicitly showing the tiny function with a specific name, body, and return statement, you may use a lambda function to express everything in a single short line of code. For instance,

(lambda a, b, c: (a+b) ** c) (3,2,2)

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In this example, we defined an anonymous function that accepts three parameters and converts the values of the first two (a and b) to the intensity of the third argument (c).

As can be seen, a lambda function's syntax is much more concise than that of a normal function.

Reference: Lambda Function

Q6: What are the key features of Python?

Ans.- The key features of Python are:

  • Python is a highly constructed language, so you do not need to declare the types of components when you speak them or anything similar.

  • Functions in Python are five-class objects, which means they may be assigned to variables, retrieved from other functions, and passed into functions.

  • While Python is a fast language to write, it is often slower to execute than compiled languages. Fortunately, Python supports the appearance of C-based extensions, which enables bottlenecks to be advanced away and often is.

  • Python is an interpreted language, and, like other languages, it must be compiled before it can be used.

  • It is used in various fields, including online applications, scientific modelling, big data applications, and automation.

Reference: Features of Python

Q7: Suppose you need to collect and print data from IMDb's top 250 Movies page. Write a program in Python for doing so. (NOTE: - You can limit the displayed information for 3 fields; namely movie name, release year, and rating.)

Ans-

Q8: What do you understand by the process of compilation and linking in Python?

Ans.- Python takes advantage of compiling and linking to ensure that new extensions are error-free while being built. Only when compilation is complete can linking begin.

When using dynamic loading, the compilation and linking processes are dictated by the system's style. The Python interpreter enables dynamic loading of the configuration setup files and rebuilding of the interpreter itself.

Q9. What is the function of “self”?

Ans.- An instance of an object may be represented by a variable called "Self." As a secret parameter, this is often given to methods in object-oriented programming languages as a value specified by the object. However, in Python, it is expressly defined and passed. Class A's instance constructor creates the initial argument, and the methods' arguments are automatically handed along. Each object has its instance of the variable, which is what this statement is referring to. A class instance's first parameter is "self," specified explicitly for all methods that may be called and exist.

Q10.Explain how Python does Compile-time and Run-time code checking?

Ans.- Python does some compile-time checking, but most of the tests, such as type, name, and so on, are postponed until the code gets executed. Because of this, even if the Python code refers to a user-defined function that does not exist, the code will compile properly. In reality, the code will only fail with an exception if the code execution route calls a function that does not exist in the current version of the library.

Q11. What are the modules and packages in Python?

Ans.- Modules are.py files in Python that may define and implement a collection of functions, classes, or variables. When a user imports and initializes them, they are already imported and initialized for them.

Dot notation in package names allows for hierarchical organization of module namespaces. A package helps prevent module name conflicts in the same manner as modules help prevent name collisions between global variables.

Q12. How does break, continue and pass work?

Ans.- When an external condition is met, the break statement in Python allows you to leave the loop. The break statement is typically seen after an if conditional statement in the code block beneath the loop statement.

If an external condition is triggered during a loop, the continue statement allows you to skip that section and continue with the remainder of the loop. As a result, the loop will be interrupted, but the program will resume where it left off. A program that utilizes the continue statement skips factors that arise inside a loop but continues with the remainder of the loop nonetheless.

The pass statement enables you to handle an external condition without affecting the loop when it occurs. Until a break or other statement happens, all of the code will be read. A conditional if statement usually follows it in the code block beneath the loop statement.

Conclusion

Do not stress about anticipating every question that may be asked. In your interview, you'll be asked a limited number of questions. Practising for interviews is all about brushing up on the basics while also boosting your self-esteem.

You'll become better at describing your job as you practice answering interview questions. Writing more efficient code can help you stand out from the competition when applying for jobs.

Practicing for technical interviews can help you get the job of your dreams, regardless of how long you've been in the field.


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