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Day 5: Conditional Statements (if statements)

• Conditional Logic:
• Introduce the concept of conditional statements for decision-making in Python.
• Explain how if, elif (else if), and else statements work.
• Syntax:
• Show the syntax for an if statement: if condition: # Code to execute if condition is True
• Comparison Operators:
• Introduce comparison operators used in conditions:
  • == (equal to), != (not equal to), < (less than), > (greater than), <= (less than or equal to), >= (greater than or equal to).
• Examples:
• Provide examples of simple if statements:
  python age = 20 if age >= 18: print("You are an adult.")

Day 6: Loops (for and while loops)

• For Loops:
• Introduce for loops for iterating over sequences (e.g., lists, strings, range objects).
• Explain the basic syntax: for item in sequence: # Code to execute for each item
• While Loops:
• Introduce while loops for repeated execution based on a condition.
• Explain the basic syntax: while condition: # Code to execute while condition is True
• Examples:
• Provide examples of for and while loops: # Example of a for loop numbers = [1, 2, 3, 4, 5] for num in numbers: print(num) # Example of a while loop count = 0 while count < 5: print(count) count += 1

Day 7: Basic Input and Output

• Input from the User:
• Introduce the input() function for getting user input.
• Explain how to use input() to store user input in a variable. name = input("Enter your name: ")
• Output to the Console:
• Discuss the print() function for displaying output to the console.
• Show how to format and combine output using print(). print("Hello, " + name + "!")
• Formatting Output:
• Introduce basic string formatting techniques (e.g., f-strings): age = 25 print(f"You are {age} years old.")
• Practice Exercises:
• Provide exercises that involve conditional statements, loops, user input, and output to practice the concepts learned.

By the end of Day 7, you should have a solid grasp of control flow in Python, including conditional statements (if, elif, else), loops (for and while), and basic input/output operations. These concepts are fundamental for creating more complex programs and applications in Python.

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.