Designed by Guido van Rossum and developed by Python Software Foundation in 1991, Python emerged as one of theĀ most popular programming languagesĀ in the modern world.
Ease of learning, simplified syntax, emphasis on natural language and ability to solve complex technical challenges including Machine Learning and Artificial Intelligence, and lucrative pay packages make Python one of the most sought-after programming languages for freshers.
As of Mid-May 2022,Ā Naukri.comĀ lists more than 10000 Python jobs in India alone. According to PayScale, theĀ average annual salary of a Python fresherĀ in India is ā¹309,161.
Chances are high that you could be looking forward to a technical interview where you will be asked questions about Python. That being said, letās delve into nine such interview questions that would give you an upper hand in the Python interview.
Python Interview Questions For Freshers
CodeQuotient experts provide a comprehensive collection of Python interview questions for freshers to help you to crack the interviews with confidence:
1. What is Python?
Python is a programming language well suited for Rapid Application Development. It is an object-oriented and interpreted language and dynamic semantics, the main feature of high-level programming languages.
2. What makes Python an interpreted language? Name some other interpreted languages.
An interpreted language eliminates the step of converting the source code to object code. Instead, the Interpreter directly executes the scripted code. Python uses this mechanism, and hence it is an interpreted language. Perl, Python, JavaScript, PHP, and Ruby are examples of interpreted languages.
3. What is a namespace in Python? How many types of namespaces exist?
Python code has various objects. Each object has a designated name, which is nothing but the namespace. When creating an object in Python, the corresponding namespace is automatically created. These namespaces are then saved in a sequential dictionary-like pattern, where we can access each namespace with its unique key.
Python uses four different types of namespaces:
- Built-inā The objects in these namespaces are available throughout the code run time. This namespace contains all built-in Python objects.
- Globalā The objects created at the primary level reside in this namespace.
- Enclosingā The objects of higher level or those related to outer functions are found in this namespace.
- Localā The objects of the local level or those related to inner functions are found in this namespace.
4. What is the ternary operator in Python? How does it function?
A ternary operator works with three variables at once. In Python, [on true] if [expression] else [on false] is the ternary operator.
It works asĀ below:
If the expression is true or 1, the ternary operator executes [on true]
If the expression is false or 0, the ternary operator executes [on false].
For instance,
>>> a,b=4,5
>>> min=aĀ ifĀ a<bĀ elseĀ b
>>> min
>>> print(“Less”) if a<b else print(“More”)
Since a<b is true, the ternary operator prints the program’s output asĀ Less.
5. What is PEP 8 in Python, and its significance?
PEPĀ in Python is an acronym for Python Enhancement Proposal. Python is an open-source code and enjoys a vast community; PEP is the design document that guides Python developers.
It explains the latest features, processes and guidelines of Python. PEP8 is a standard design document that the whole Python developer community must adhere to.
6. What is the difference between a list and a tuple in Python?
Both List and Tuple are two different object types in Python.
A list is an ordered sequence of items. It can contain elements of similar or varying data types. A list in Python is mutable, which means you can change its elements.
Example: [7,ā schoolā,8.4]
A tuple is an ordered collection of items. TheĀ mainĀ use of tuples is we can store multiple items in a single variable. Unlike List, a Tuple is an immutable data type, which means we cannot change the elements stored in it.
Example: (99, ‘ABC’, 45)
7. What are modules and packages in Python? How do they differ from each other?
Python is a modular programming language, thanks to its modules and package mechanisms.
Modules: Modules are Python files with a .py extension. They have multiple functions, classes and variables. We can use them fully or partially based on necessity. The import statement helps in fully accessing the modules, while, using from foo import, we can access the desired classes of the module.
Packages: Packages make it possible to access the modules with dot notation. They are easy to create. We have to combine all modules we intend to make into a package and save them in a folder with the desired package name.
By creating packages, we can avoid name clashes with the global variable names and also easily access the contents with the syntax: package-name.module-name
8. Explain functions in Python
A function is a code block that executes instructions only when an explicit call is made. We can create a function in Python using the def keyword.
For instance, consider a basic function in Python as below:
def Newfunc():
print(“Hello there! Welcome to CodeQuotient”)
Newfunc(); #here we are calling the function
When we run this program, we can see the following output:
Hello there! Welcome to CodeQuotient.
9. How can we mention a comment in Python?
A hash or an octothorpe(#) represents a comment in Python. The interpreter ignores any lines that are followed by #. One distinction with Python is that it does not have a multiple-line comment; we must use # before all lines we want the interpreter to ignore.
Crack Python Interview with our Expert Guidance
While these Python interview questions for freshers or Python books are good to start your preparation for a coding interview, we must remember that Python is a huge technical subject.
Learn Python from the real-time experts at CodeQuotient by enrolling in our 3 months online ‘full-stack development courseā. We also empower students of reputed universities to face real-time industry challenges through ourĀ CodeQuotient Academy and SuperCoders Program. Get in touch with us for more details and shape your career more brightly!
