Python Basics: Interview Readiness Quiz Quiz

Test your knowledge of Python programming fundamentals, key concepts, and common interview questions for freshers. This quiz helps you prepare for entry-level Python interviews covering Python's features, usage, and installation.

  1. Origins of Python

    Who created Python, and in which year was it first released?

    1. James Gosling, 1995
    2. Guido van Rossum, 1991
    3. Bjarne Stroustrup, 1989
    4. Dennis Ritchie, 1990

    Explanation: Guido van Rossum created Python, and it was first released in 1991. James Gosling is known for creating Java, Dennis Ritchie for C, and Bjarne Stroustrup for C++. The other years and attributions are incorrect, making Guido van Rossum, 1991 the right answer.

  2. Python Features

    Which of the following best describes Python's main characteristics?

    1. High-level and general-purpose with easy-to-read syntax
    2. Designed only for statistical analysis
    3. Purely functional with no object-oriented support
    4. Low-level and hardware-focused with complex syntax

    Explanation: Python is a high-level, general-purpose programming language known for its readable and user-friendly syntax. It's not low-level or hardware-focused, nor is it strictly functional without object-oriented features. It's widely used beyond just statistical analysis.

  3. Python Installation

    Which step is essential during Python installation to allow running Python from the command line?

    1. Disable all optional features
    2. Add Python to environmental variables
    3. Skip the installation summary
    4. Ignore license agreement

    Explanation: Adding Python to environmental variables ensures you can run Python from any command-line window. Skipping the installation summary, disabling all options, or ignoring the license agreement are incorrect steps and could lead to issues in using Python post-installation.

  4. Python Applications

    Which is NOT a typical application area where Python is used?

    1. Web applications
    2. Desktop GUI applications
    3. Scientific and numeric computing
    4. Real-time flight control systems

    Explanation: Python is rarely used in real-time flight control systems due to its speed and timing constraints. It is popular for web and desktop applications and scientific computing. The other options correctly reflect Python's major areas of use.

  5. Python Community Leadership

    When did Guido van Rossum step down as the leader of the Python community?

    1. 1999
    2. 2008
    3. 2020
    4. 2018

    Explanation: Guido van Rossum stepped down from the leadership of the Python community in 2018. 2008, 2020, and 1999 are not relevant to this event. Remembering the correct year is important for interview basics.

  6. Interpreters for Python

    What is CPython?

    1. The reference implementation of Python
    2. A database used in Python projects
    3. A graphical interface for Python
    4. A web framework for Python

    Explanation: CPython is known as the official reference implementation of the Python language. It is not a graphical interface, web framework, or database. CPython forms the foundation for most Python executions.

  7. Python Interactive Shell

    What does REPL stand for in the context of Python's console applications?

    1. Read-Eval-Print Loop
    2. Remote-Edit-Program-Library
    3. Run-Execute-Python Logic
    4. Random-Entry-Point List

    Explanation: REPL in Python stands for Read-Eval-Print Loop, which allows users to enter statements interactively. The other options are incorrect expansions or unrelated to Python's interactive shell.

  8. Python Usability

    Why is Python preferred for rapid development of applications?

    1. It lacks library support
    2. Its syntax is simple and code is easy to maintain
    3. It requires hardware-level programming
    4. It does not support modularity

    Explanation: Python's simple syntax and readability make development faster and easier to maintain. It does not focus on hardware-level details, has extensive library support, and fully supports modular programming, so the other options are incorrect.

  9. Python for Scientific Computing

    Which of the following is commonly used as a scientific or mathematical library in Python?

    1. NanoPi
    2. NumPyro
    3. NumPy
    4. NanoPy

    Explanation: NumPy is a well-known numerical computing library in Python for scientific tasks. NumPyro is a probabilistic programming library, NanoPy is not a relevant library, and NanoPi refers to a hardware device, not a Python scientific library.

  10. Maintaining Python

    Who manages Python and its main reference interpreter, CPython?

    1. Freelance developers only
    2. The Python Software Foundation
    3. A private software company
    4. University computer labs

    Explanation: The Python Software Foundation is the non-profit organization responsible for managing Python and CPython. Private companies, universities, or freelancers do not manage Python as a language and reference implementation, though contributors may come from various backgrounds.