Python for Data Science: Chapter 1: Basics of Python

Basics of Python: Important Part B Questions

Python for Data Science

Python for Data Science: Chapter 1: Basics of Python: Anna University Part B Important Questions and Answers

Python for Data Science

Chapter 1: Basics of Python


Part B Important Questions

1.Explain features and uses of python.

2. What is a numeric literal? Give an example.

3. Outline the operator precedence of arithmetic operators in Python.

4. Mention the list of keywords available in python. Compare it with variable names.

5.What are the statements? How are they constructed from variable and expressions in python?

6. What are keywords? Give examples.

7. Python: Expressions

8. Python: Comments

9. Python: Indentation

10. Appraise the arithmetic operators in python with an example.

11. State about logical operators available in python language with example.

12. Summarize the precedence of mathematical operators in python.

13. Explain three types of conditional statements.

14. Mention the different types of iterative structure allowed in python. Explain the use of continue and break statements with an example.

15.What is list? Explain how to access the list elements.

16.Write a python program to delete and update list elements.

17. How to Input the Data through Keyboard?

18. How to Display Output on Console using Format?

19. Enlist built in functions in tuple.

20. What is tuple? Give the difference.

21. Python: Lists

22. Python: Set

23. Python: Tuple

24. Python: Dictionaries


Python for Data Science: Chapter 1: Basics of Python : Tag: Computer Programming, Python, Data Science : Python for Data Science - Basics of Python: Important Part B Questions


Python for Data Science: Chapter 1: Basics of Python



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