Day 3: Variables and Data Types

• Variables:
• Understand the concept of variables as containers for storing data.
• Learn how to assign values to variables using the assignment operator =.
• Data Types:
• Introduce fundamental data types in Python:
  • Integer (int): Whole numbers, e.g., 5, -10.
  • Float (float): Numbers with decimal points, e.g., 3.14, -0.5.
  • String (str): Sequences of characters enclosed in single or double quotes, e.g., “Hello, Python!”.
  • Boolean (bool): Represents either True or False.
• Variable Naming Rules:
• Explain the rules for naming variables:
  • Variable names must start with a letter (a-z, A-Z) or an underscore (_).
  • Subsequent characters can include letters, numbers, and underscores.
  • Variable names are case-sensitive (e.g., myVar and myvar are different).
• Assigning Values:
• Demonstrate how to assign values to variables:

python my_integer = 5 my_float = 3.14 my_string = "Hello, Python!" is_true = True

Day 4: Basic Operations with Data Types

• Arithmetic Operations:
• Introduce basic arithmetic operations:
  • Addition (+), subtraction (-), multiplication (*), division (/), and exponentiation (**).
• Show how to perform these operations with integers and floats.
• String Operations:
• Explain string concatenation using the + operator:
  greeting = "Hello" name = "Alice" message = greeting + ", " + name + "!"
• Type Conversion:
• Discuss type conversion between data types (casting):
  • int(), float(), and str() functions.
  • Example: int("5") converts the string “5” to an integer.
• String Methods:
• Introduce some basic string methods:
  • len(): Returns the length of a string.
  • upper(): Converts a string to uppercase.
  • lower(): Converts a string to lowercase.
  • Example: len("Python"), "Hello".upper(), "WORLD".lower().
• Boolean Operations:
• Cover basic boolean operations:
  • and, or, and not.
  • Example: True and False, True or False, not True.
• Practice Exercises:
• Provide exercises for students to practice using variables and performing operations with data types.

By the end of Day 4, you should have a solid understanding of variables and the basic data types in Python. You’ll also be comfortable performing basic operations on these data types, which is essential for programming in Python.