Computer Science 02

Aperçu des sections

• Lecture1: Iterative Statements (Loops)
  

  Lecture1: Iterative Statements (Loops)

  Objectives

  By the end of this lesson, students should be able to:

  • Understand the concept of loops in Python.

  • Differentiate between for and while loops.

  • Modify loop behavior using loop control statements (break, continue, pass)

  • Write Python programs using loops to solve problems.

  
  

  • Lesson 1: Iterative Statements (Loops) Annotation PDF
  • Lab Session 1 Annotation PDF
• Lecture 2: Lists as Sequence
  

  Lecture 2: Lists as Sequence

  Objectives

  By the end of this lesson, students should be able to:

  • Understand Lists as Data Structure

  • Using Lists as Sequence – indexing, slicing, and iterating

  • Basic Operations – Adding, modifying, and removing elements.

  • List comprehension

  
  

  • Lesson 2: Lists as Sequence Annotation PDF
  • Lab Session 2 Annotation PDF
• Lecture 3: NumPy Arrays in Python
  

  Lecture 3: NumPy Arrays in Python

  By the end of this lesson, students should be able to:

  1.Understand what arrays are and how they differ from lists.

  2.Create and manipulate arrays in Python.

  3.Understand what NumPy arrays are and why they are useful.

  4.Create and manipulate NumPy arrays.

  5. Understand the advantages of NumPy arrays over Python arrays and lists.

  
  

  • Lesson 3: NumPy Arrays in Python Annotation PDF