Chapter 1: Introduction to Python – Assignments

Test your understanding of Python's background, use cases, features, and significance in the programming world by attempting the following exercises.

Basic (10 Questions)

  1. Who created Python and in which year?
  2. What are some major goals behind Python's development?
  3. Name three key applications of Python in the real world.
  4. List five areas or domains where Python is used extensively.
  5. Why is Python called a "high-level" programming language?
  6. Write any 3 features of Python that make it beginner-friendly.
  7. What does "interpreted language" mean in Python?
  8. How is Python different from compiled languages like C++?
  9. Give two examples of industries where Python is applied.
  10. Why do educational institutes prefer teaching Python first?

Intermediate (10 Questions)

  1. Compare Python with Java in terms of syntax simplicity and productivity.
  2. Write short notes on Python's role in: (a) Data Science (b) Web Development
  3. List any 4 popular Python frameworks/libraries and their use cases.
  4. What are some limitations of Python despite its popularity?
  5. How does Python support rapid prototyping and development?
  6. Why is Python considered a dynamically typed language?
  7. How do readability and indentation in Python differ from other languages?
  8. What makes Python open source? How can you contribute to it?
  9. Find and list at least 5 real-world companies that use Python and what they use it for.
  10. Explain the phrase “Python fits everywhere” with examples.

Advanced (10 Questions)

  1. Research and explain how Python has evolved from version 1.0 to version 3.x.
  2. Describe how Python supports multiple programming paradigms.
  3. Compare Python with another modern language (e.g., Go or Rust) in terms of performance and community.
  4. Explain how Python is used in Artificial Intelligence and Machine Learning.
  5. Write a paragraph discussing how Python's philosophy (as per the Zen of Python) influences its design.
  6. How is Python used in embedded systems and IoT, despite being an interpreted language?
  7. Explain how Python has become the dominant language in the data science ecosystem.
  8. List and describe any 3 open-source Python projects and what they aim to solve.
  9. Discuss the trade-off between Python's flexibility and its execution speed.
  10. Prepare a presentation or infographic summarizing Python's journey, strengths, and future.