Whatever source you use to compile a list of the finest programming languages to learn in 2021, one name that will always appear is Python.

So, if you’re wondering if dedicating yourself to learning Python, an interpreted, high-level, general-purpose programming language, can lead to a prosperous career, the answer is yes.
Let’s get started with some of the most common Python interview questions.

Top Python Interview Questions and Answers

It’s time to try your hand at some interviews once you’ve got a good grasp on the various Python ideas. Here is a collection of top Python interview questions that you must know the answers to in order to improve your chances of passing:

1.  Python Interview Questions for Freshers and Beginners at the Basic Level:

 

Q:  What are the distinct features of Python?

Answer:

The following are some of Python’s distinguishing characteristics.

1. Functional and structured programming are both supported.
2. It can be compiled to byte-code to make larger programmes.
3. Creates dynamic data types at a high level.
4. Enables dynamic data types to be checked.
5. Automated waste collection is used.
6. It may be used in conjunction with Java, COBRA, C, C++, ActiveX, and COM to great success.

 

Q:  Why do we use Pythonstartup environment variable?

Answer: 

The Pythonstartup environment variable is used because it contains the location of the initialization file containing Python source code, which may be used to start the interpreter.

 

Q: What are the supported standard data types in Python?

Answer:

The supported standard data types in Python include the following.

1. List.
2. Number.
3. String.
4. Dictionary.
5. Tuples.

 

Q: Do runtime errors exist in Python? Give an example?

Answer:

Yes, Python has runtime errors. If you are duck typing and something looks like a duck, it’s deemed a duck, even if it’s simply a flag or a stamp or anything else.

A Run-time Error would be the code in this situation. For example, if you print “NULLCLASS,” the runtime error is the missing parenthesis that print requires ().

Q: Can we use a break and continue together in Python? How?

Answer:

In Python, you can use break and continue together. The break command will terminate the current loop, whereas the jump command will start a new one.

 

Q:  Define Pass statement in Python?

Answer:  

When we can’t decide what to do with our code but need to type something to make it syntactically correct, we use the pass statement in Python.

Q:  What are the limitations of Python?

Answer: 

There are certain limitations of Python, which include the following:

1. It has design restrictions.
2. It is slower when compared with C and C++ or Java.
3. Not only that, but it is inefficient in mobile computing.
4. It consists of an underdeveloped database access layer.

Q: How are identity operators different from the membership operators?

Answer: 

The identity operators, unlike the membership operators, compare the values to see if they are the same.

 

Q: What are functions in Python?

Answer:

In Python, functions are blocks that contain organized and reusable code for performing single and linked actions. Functions are crucial for improving modularity in programmes that repeat a lot of code. Python includes several built-in functions, such as print (). It does, however, allow for the creation of user-defined functions.

 

Q:  What is Pandas?

Answer: 

Pandas is a Python library that provides numerous data structures for data-driven activities. Pandas fits in any function of data operation, whether it’s academics or tackling complicated corporate challenges, thanks to its interesting characteristics. Pandas is one of the most important programs to master because it can handle a wide range of files.

 

Advanced Level Python Interview Questions for Experienced and Professionals:

Q: How will you distinguish between NumPy and SciPy?

Answer: 

NumPy typically only includes the array data type and the most fundamental operations, such as basic element-wise functions, indexing, reshaping, and sorting. SciPy contains all the numerical code.

NumPy aims to keep all functionality provided by either of its predecessors, as compatibility is one of the library’s most essential goals. As a result, NumPy includes a few linear algebra functions that are better suitably found in the SciPy package.

SciPy includes full-featured versions of NumPy’s linear algebra modules, as well as various additional numerical methods.

 

Q: How will you differentiate between deep copy and shallow copy?

Answer: 

When a new instance type is created, we employ a shallow copy. It retains the transferred values in the new instance. The shallow copy replicates the reference pointers in the same way that it copies the values.

The shallow copy’s reference points refer back to the original objects. Any changes made to any member of the class have an impact on the original copy. Shallow copy allows the software to run faster.

Deep copy is used to save previously copied values. It does not replicate the reference pointers to the objects, unlike shallow copy. Deep copy stores a new item that is pointed by another object in addition to making a reference to it.

Any changes made to the original copy have no bearing on any subsequent copies that use the referenced or stored object. Deep copy, as contrast to shallow copy, slows down programme execution. This is because it makes several copies of each item that is called.

 

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

Answer:

Compiling and linking are used in Python to compile new extensions without errors. Only when the compilation is complete does linking begin.

In the event of dynamic loading, the compilation and linking procedure is determined by the style provided by the system in question. The Python interpreter is utilized to offer dynamic loading of the configuration setup files and rebuilding the interpreter.

 

Q: What is Flask, and what are the benefits of using it?

Answer: 

Flask is a Python web microframework that is dependent on Jinja2 and Werkzeug. As a result, it has a number of important benefits:

1. Flask has few, if any, external library dependencies.
2. The web microframework is lightweight to use since it has few external dependencies to update and fewer security issues.
3. Includes a built-in development server as well as a quick debugger.

 

Q: What is the map() function used for in Python?

Answer:

The map() function takes an iterable and applies a function to each item. The results are then returned in a list. The value provided by the map() method can subsequently be passed on to list() and set() functions, for example ().

A map() function typically takes the specified function as the first parameter and the iterable as the second argument. If the function accepts more than one argument, several tables are displayed.

 

Q: Whenever Python exits, all the memory isn’t deallocated. Why is it so?

Answer:

When you depart Python, the built-in effective clean up process kicks in and attempts to deallocate or destroy all other objects.

Python modules with circular references to other objects or objects referenced from global namespaces, on the other hand, aren’t always deallocated or destroyed.

This is due to the fact that it is impossible to deallocate the memory reserved by the C library.

 

Q: What is Pickling and Unpickling in Python?

Answer:

Pickle is a Python module that accepts any object and converts it to a string representation. It then uses the dump method to save the data to a file. Pickling is the name for this method.

Unpickling, or extracting original Python objects from a cached string representation, is the opposite of pickling.

 

These were some of the most asked questions in python interviews.

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Have a nice day.