Day 22: Functions with Variable Arguments

Create a flexible function that sums any number of inputs using *args. Perfect for building dynamic tools like calculators!

def sum_numbers(*args):
    return sum(args)

print("Sum of 2 numbers:", sum_numbers(1, 2))
print("Sum of 3 numbers:", sum_numbers(1, 2, 3))
print("Sum of 5 numbers:", sum_numbers(1, 2, 3, 4, 5))
                

Why Learn This?

This script teaches you to handle unlimited inputs, making your functions versatile. Imagine summing shopping cart totals or game scores! Try modifying it to multiply numbers in your 10-15 minute practice.

Key Concepts

Day 23: Keyword Arguments and Dictionaries

Build a function that prints personal details using **kwargs, turning keyword inputs into a dictionary. Great for user profiles!

def print_info(**kwargs):
    for key, value in kwargs.items():
        print(f"{key}: {value}")

print_info(name="Alice", age=25)
print_info(name="Bob", city="New York", job="Engineer")
                

Why Learn This?

Learn to process flexible data like form submissions. Experiment with adding default messages or specific key checks in your practice time!

Key Concepts

Day 24: List Comprehensions

Use list comprehensions to create lists of even numbers and squares in one line. A concise way to process data!

evens = [x for x in range(1, 11) if x % 2 == 0]
print("Evens:", evens)

numbers = [1, 3, 5]
squares = [x ** 2 for x in numbers]
print("Squares:", squares)
                

Why Learn This?

Comprehensions simplify loops for filtering (evens) or transforming (squares) data. Try filtering squares > 10 in your practice—perfect for data tasks!

Key Concepts

Day 25: Basic String Parsing

Convert a comma-separated string (e.g., “1,2,3”) into a list of integers and sum them. Ideal for processing user inputs!

Sample Code

input_str = input("Enter numbers (comma-separated): ")
num_list = [int(x) for x in input_str.split(",")]
print("Numbers:", num_list)
print("Sum:", sum(num_list))
            

Why Learn This?

Learn to parse text into usable data, like reading CSV files. Add error handling (try/except) in your practice for robustness!

Key Concepts

Day 26: Simple Data Validation

Create a function to validate email addresses (checks for “@” and “.com”). Essential for form processing!

Sample Code

def validate_email(email):
    return "@" in email and email.endswith(".com")

print(validate_email("user@domain.com"))  # True
print(validate_email("invalid.email"))    # False
            

Why Learn This?

Validate user inputs like emails to ensure data quality. Try adding more checks (e.g., “.” before “@”) in your practice!

Key Concepts

Day 27: Basic Data Aggregation

Process a list of student score dictionaries to find the average and highest scorer. Great for analytics!

Sample Code

students = [
    {"name": "Alice", "score": 85},
    {"name": "Bob", "score": 90},
    {"name": "Charlie", "score": 78}
]
scores = [student["score"] for student in students]
average = sum(scores) / len(scores)
highest = max(students, key=lambda x: x["score"])
print("Average score:", average)
print("Highest scorer:", highest["name"], highest["score"])
            

Why Learn This?

Aggregate data like grades or sales with lists and dicts. Experiment with finding the lowest score in your practice!

Key Concepts

Day 28: Review & Expand

Combine Week 4 skills: Parse numbers, validate inputs, process with a function, and store results in a dictionary.

Sample Code

def process_numbers(numbers_str):
    try:
        nums = [int(x) for x in numbers_str.split(",")]
        result = {"sum": sum(nums), "count": len(nums)}
        return result
    except ValueError:
        return {"error": "Invalid numbers"}

input_str = input("Enter numbers (comma-separated): ")
result = process_numbers(input_str)
print("Results:", result)
            

Why Learn This?

Build a mini data app combining parsing, validation, and functions. Add max/min to the result dict in your practice for a challenge!

Key Concepts