The information in this article will assist you in determining what types of questions you might be asked during a Python programming job interview. Alternatively, it might assist you in assessing your Python abilities. To accurately evaluate yourself, make sure you answer the questions before looking at the answers. Let's get started with the Python interview questions without further ado.
Python Interview Questions
What is Python?
Python is a high-level, general-purpose programming language that is interpreted. Using Python and third-party modules and frameworks, we can create practically any form of application. Python is one of the most widely used programming languages in advanced technologies such as artificial intelligence (AI), data science, and so on.
What is the main difference between an interpreter and a compiler?
The interpreter converts each statement into machine code one at a time, whereas the compiler converts the entire programme into machine code at once.
Is Python statically typed or dynamically typed language?
Python is a language with dynamic typing.
What do you mean by dynamically typed language?
Variable types are checked at run-time in dynamically typed languages. Python, JavaScript, Ruby, and other dynamically typed languages are examples.
Give some applications of Python.
Python offers a more straightforward and easy-to-understand syntax. It may resemble English in appearance. Python has a sizable development community. Many third-party programmes are available to help with various forms of application development. We can construct web applications, GUI applications, CLI applications, and other types of applications.
Automation is one of Python's most popular uses. In Python, we can simply construct scripts to automate processes such as cleaning discs, sending emails, and retrieving data about product prices, among other things. Python is a widely used programming language in the field of data science.
What applications did you build using Python?
I've built a number of automation scripts to automate tedious and time-consuming jobs. Also, scripts to obtain information on product prices, availability, and so on.
I've also built web applications using frameworks like Django and Flask. Also, learn how to use Django and Flask to create web apps.
What are the built-in data types in Python?
Python has a number of built-in data types. Integer, float, complex, bool, list, tuple, set, dict, and str are the types.
It's important to note that you don't have to provide all of Python's data types. Mention a few that you frequently use. The interviewer may follow up with questions based on your response.
What’s the difference between list and tuple?
The collection of objects is stored in a list or a tuple. The most significant distinction between a list and a tuple is that a list is a mutable object, but a tuple is an immutable object.
What are mutable and immutable data types?
After they've been created, mutable data types can be altered. List, set, and dict are examples of mutable objects in Python.
Immutable data types can't be modified once they've been created. In Python, immutable objects include str and tuple.
When is the code in else executed with while and for loops?
After all iterations, the code inside the else block with while and for loops is executed. When we break the loops, the code inside the else block isn't executed.
What are the parameters and arguments?
The names listed in the function definition are called parameters.
The values provided to the function when it is invoked are known as arguments.
Conclusion
As we can see in this essay, questions are not limited. This article demonstrates how to ask several types of questions in Python using various themes. It is not, however, restricted to the collection of questions mentioned in this article.
Questioning yourself on various topics is one method to be prepared while studying. Make many types of questions out of a notion. And you should respond to them personally. If you require Python homework help you may consult with our professionals at any moment.