Python is highly regarded for its simplicity, flexibility, and readability, making it one of today’s most sought-after programming languages. It has topped the most popular programming languages in the Tiobe index. Also, it ranks among the top 5 popular programming languages on Stack Overflow.
Consequently, Python-related job opportunities are on the rise, and there is a significant demand for professionals proficient in Python. Whether you seek entry-level positions or more advanced roles, be prepared to face Python interview questions when starting a career with Python skills.
To help you get ready, we’ve created a list of commonly asked Python interview questions with clear and detailed answers. This guide is perfect for beginners as well as experienced candidates who want to refresh their knowledge. Going through these questions will help you feel more confident and increase your chances of landing your dream Python job.
- Python is a general-purpose programming language that has a simple, easy-to-learn syntax that emphasizes readability and therefore reduces the cost of program maintenance. Moreover, the language is capable of scripting, is completely open-source, and supports third-party packages encouraging modularity and code reuse.
- Its high-level data structures, combined with dynamic typing and dynamic binding, attract a huge community of developers for Rapid Application Development and deployment.
- Lists are mutable i.e they can be edited. Whereas, Tuples are immutable means tuples are lists which can’t be edited.
- Lists are slower than tuples. In contrast, Tuples are faster than list.
- Lists are represented with square brackets. While, tuples are represented with parantheses.
- Global variables are public variables that are defined in the global scope. To use the variable in the global scope inside a function, we use the global keyword.
- Protected attributes are attributes defined with an underscore prefixed to their identifier. They can still be accessed and modified from outside the class they are defined in but a responsible developer should refrain from doing so.
- Private attributes are attributes with double underscore prefixed to their. They cannot be accessed or modified from the outside directly and will result in an AttributeError if such an attempt is made.
- Arrays in python can only contain elements of same data types i.e., data type of array should be homogeneous. It is a thin wrapper around C language arrays and consumes far less memory than lists.
- Lists in python can contain elements of different data types i.e., data type of lists can be heterogeneous. It has the disadvantage of consuming large memory
- Assigning lambda functions to a variable,
- Wrapping lambda functions inside another function.
- Memory management in python is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have access to this private heap. The python interpreter takes care of this instead.
- The allocation of heap space for Python objects is done by Python’s memory manager. The core API gives access to some tools for the programmer to code.
- Python also has an inbuilt garbage collector, which recycles all the unused memory and so that it can be made available to the heap space.