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Python programming beginner level concepts, Schemes and Mind Maps of Computer science

Computer science

hey!, please go through the document if you want to start Python programming basic level concepts.

Typology: Schemes and Mind Maps

2025/2026

Available from 01/21/2026

deepika-43
deepika-43 🇮🇳

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Dear learners
These are the some of Python computer language topics. The topics given are beginner level
Python concepts . I have categorized each set into levels based on difficulty.
Make sure you understand all the concepts given before moving to the next.
Set 1
Small topics:
1. What is Python? Mention any two features.
2. What is a Python interpreter?
3. Define identifiers. State any two rules for naming identifiers.
4. What are keywords? List any two Python keywords.
5. What is the purpose of the type() function?
6. Why is Python called a dynamically typed language?
7. Differentiate between == and is operators.
8. What is an exception in Python? Name any two built-in exceptions.
Medium topics:
1. Explain Python variables and data types with suitable examples.
2. Explain implicit and explicit type conversion in Python with examples.
3. Write a Python program using if…elif…else to check whether a number is positive,
negative, or zero.
4. Explain the difference between break and continue statements with example programs.
5. Write a Python program to print the first 10 even numbers using a loop.
6. Explain command-line arguments in Python with a simple example.
Hard topics:
1. Explain identifiers, keywords, statements, variables, and operators in Python with
suitable examples.
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Dear learners These are the some of Python computer language topics. The topics given are beginner level Python concepts. I have categorized each set into levels based on difficulty. Make sure you understand all the concepts given before moving to the next. Set 1 Small topics:

  1. What is Python? Mention any two features.
  2. What is a Python interpreter?
  3. Define identifiers. State any two rules for naming identifiers.
  4. What are keywords? List any two Python keywords.
  5. What is the purpose of the type() function?
  6. Why is Python called a dynamically typed language?
  7. Differentiate between == and is operators.
  8. What is an exception in Python? Name any two built-in exceptions. Medium topics:
  9. Explain Python variables and data types with suitable examples.
  10. Explain implicit and explicit type conversion in Python with examples.
  11. Write a Python program using if…elif…else to check whether a number is positive, negative, or zero.
  12. Explain the difference between break and continue statements with example programs.
  13. Write a Python program to print the first 10 even numbers using a loop.
  14. Explain command-line arguments in Python with a simple example. Hard topics:
  15. Explain identifiers, keywords, statements, variables, and operators in Python with suitable examples.
  1. Why is Python considered both a dynamically typed and strongly typed language? Justify your answer with example programs.
  2. Compare the for loop and while loop in Python. Explain their working with suitable programs.
  3. Explain exception handling in Python. Describe the role of try, except, else, and finally blocks with a complete program.
  4. Write a Python program that accepts command-line arguments , performs arithmetic operations , and uses conditional statements and loops. Set 2 Small topics:
  5. Define a built-in function in Python. Give any two examples.
  6. Differentiate between return statement and a void function.
  7. What is meant by the scope of a variable? Name any two types.
  8. Define default parameters in Python functions.
  9. What are keyword arguments?
  10. What are command-line arguments in Python?
  11. How are strings created and stored in Python?
  12. What is string slicing? Write its syntax.
  13. List any two string methods and state their purpose.
  14. Define list comprehension and mention one advantage. Medium topics:
  15. Explain function definition and function calling in Python with a suitable program.
  16. Write a Python program using default parameters and keyword arguments to calculate simple interest.
  17. Explain string operations, string slicing, and string joining with examples.
  18. Write a Python program demonstrating list creation, indexing, slicing, and basic list operations.
  19. Explain various string formatting techniques with suitable examples.
  20. Explain list methods (append, extend, insert, pop, sort) with examples.
  21. Write a Python program to find the largest and smallest elements in a list.
  1. Write a program to count the frequency of each word in a sentence using a dictionary.
  2. Explain tuple indexing and slicing with suitable examples.
  3. Write a program to demonstrate union, intersection, and difference of sets.
  4. Explain dictionary methods with examples (keys(), values(), items(), update()).
  5. Write a Python program to remove duplicate elements from a list using a set.
  6. Explain file read and write operations with a suitable Python program.
  7. Explain the steps involved in creating and using a user-defined module. Hard topics:
  8. Explain dictionary creation, accessing, modification, built-in functions, and methods with examples.
  9. Describe tuples in detail: creation, indexing, slicing, functions, and methods.
  10. Discuss file handling in Python explaining file types, file modes, and file methods with programs.
  11. Explain modules and packages in Python, including user-defined modules and their advantages.
  12. Write a Python program to read a CSV file, process the data, and write the output to another CSV file. Set 4 Small topics:
  13. What is NumPy? Why is it used in Python?
  14. Write the syntax to create a NumPy array using array().
  15. What do ndim and shape attributes represent?
  16. Write the difference between Python lists and NumPy arrays.
  17. What is array indexing in NumPy?
  18. What is broadcasting in NumPy?
  19. Write the syntax to reshape a 1-D array into a 2-D array.
  20. What does np.ones((2,3)) create?
  21. Define universal functions (ufuncs).
  22. Write the output of: np.array([1,2,3]) + 5.

Medium topics:

  1. Write a program to create NumPy arrays using array(), arange(), and linspace().
  2. Explain important NumPy array attributes with examples.
  3. Write a program demonstrating indexing and slicing on 1-D and 2-D NumPy arrays.
  4. Explain zeros(), ones(), and empty() functions with examples.
  5. Write a program to perform arithmetic operations on NumPy arrays.
  6. Explain array shape manipulation using reshape() and ravel().
  7. Explain stacking and splitting of arrays with suitable examples. Hard topics:
  8. Explain the structure of NumPy arrays, creation methods, and advantages with examples.
  9. Describe mathematical functions and universal functions in NumPy with example programs.
  10. Explain array shape manipulation techniques: reshape, transpose, flatten, and ravel.
  11. Describe broadcasting in NumPy with rules and suitable examples.
  12. Write a program to perform matrix operations such as addition, multiplication, and transpose using NumPy. Set 5 Small topics: