Author: 슈퍼토미

Day 1: Introduction to Lists

• Lists:
• Explain the concept of lists as ordered collections of items in Python.
• Emphasize that lists can contain elements of different data types.
• Creating Lists:
• Show different ways to create lists: my_list = [1, 2, 3] empty_list = [] mixed_list = [1, "hello", 3.14, True]
• Accessing Elements:
• Explain how to access individual elements in a list using index positions. my_list = [10, 20, 30, 40, 50] first_element = my_list[0] # Access the first element (10) third_element = my_list[2] # Access the third element (30)
• List Length:
• Introduce the len() function to find the length (number of elements) of a list.
  python my_list = [1, 2, 3, 4, 5] length = len(my_list) # Length is 5

Day 2: List Manipulation and Operations

• Modifying Lists:
• Discuss how to modify lists:
  • Append elements to the end of a list using append().
  • Insert elements at specific positions using insert().
  • Remove elements using remove() and pop().
• Slicing Lists:
• Explain list slicing to create sublists: my_list = [1, 2, 3, 4, 5] sub_list = my_list[1:4] # sub_list contains [2, 3, 4]
• List Concatenation:
• Show how to concatenate (combine) two or more lists. list1 = [1, 2, 3] list2 = [4, 5, 6] combined_list = list1 + list2 # [1, 2, 3, 4, 5, 6]
• List Methods:
• Introduce common list methods:
  • sort(): Sorts the list in ascending order.
  • reverse(): Reverses the order of elements.
  • count(): Counts the occurrences of an element.
  • index(): Finds the index of the first occurrence of an element.
• Nested Lists:
• Explain how lists can contain other lists (nested lists). matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
• Practice Exercises:
• Provide exercises and challenges that involve creating, modifying, and working with lists.

By the end of Day 2, you should have a solid understanding of lists in Python, how to create them, access their elements, and perform various operations like modification, slicing, and concatenation. Lists are a fundamental data structure in Python and are used extensively in programming.

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.