Quizzes > High School Quizzes > Technology
Introduction to Programming Practice Quiz
Sharpen coding skills with our fun practice test
Study Outcomes
- Understand basic programming constructs such as variables, loops, and conditionals.
- Apply logical reasoning to develop and debug simple code solutions.
- Analyze problem statements to identify suitable coding approaches.
- Demonstrate the ability to implement fundamental algorithms in code.
- Create and test small programs to reinforce introductory programming skills.
Intro Programming Cheat Sheet
- Understanding Variables and Data Types - Variables are like labeled boxes that hold info your program can use, from numbers to words and true/false flags. In Python you might do
x = 10
,y = 3.14
,name = "Alice"
, andis_active = True
to store integers, floats, strings, and booleans. Playing with data types helps you avoid surprises when mixing numbers and text. Intro to Variables & Data Types - Mastering Control Structures - Control structures are your program's traffic signals, deciding which road to take or when to loop back. Use
if
,for
, andwhile
in Python to make choices and repeat tasks without rewriting code. For example,for i in range(5): print(i)
loops five times, printing 0 - 4. Beginner's Guide to Control Flow - Grasping Functions and Their Importance - Functions let you pack logic into neat, reusable modules that make your code easier to read and maintain. Define one in Python like
def greet(name): return f"Hello, !"
then callgreet("Bob")
whenever you need a warm welcome. It's like having your own toolbox of mini-programs. Functions 101 - Learning About Arrays and Lists - Arrays (or lists in Python) are perfect for storing multiple items under one name, like a playlist of songs or a lineup of high scores. Create one with
numbers = [1, 2, 3, 4, 5]
and use indexing or loops to access or change items. Lists make it a breeze to group and manage related data. Arrays vs. Lists Explained - Exploring Object-Oriented Programming (OOP) - OOP turns your code into living objects, each with data (attributes) and behavior (methods). Try a simple Dog class:
Then createclass Dog: def __init__(self, name): self.name = name def bark(self): print("Woof!")
doggo = Dog("Fido")
and calldoggo.bark()
for some tail‑wagging action! OOP Basics for Beginners - Understanding Error Handling - Even the best coders make mistakes - error handling helps you catch and handle these issues gracefully. Wrap risky operations with
try
/except
blocks, liketry: result = 10/0 except ZeroDivisionError: print("Nope, can't divide by zero!")
. This keeps your code user-friendly and robust. Safeguarding Your Code - Getting Familiar with Input and Output Operations - Talking to your user is essential:
input()
grabs what they type, andprint()
shares results back. Tryname = input("What's your name? ")
thenprint(f"Wow, cool to meet you, !")
. It's the simplest way to make interactive programs. User I/O in Python - Learning About File Handling - Storing and retrieving data on disk lets your programs remember things between runs. Use
with open('file.txt', 'r') as f: content = f.read()
to read, or change 'r' to 'w' to write. File handling is key for logging scores, saving configs, or managing any persistent data. File I/O Techniques - Exploring Debugging Techniques - Debuggers and strategic
print()
calls are your best friends when tracking down sneaky bugs. Insertprint(f"Debug x is ")
or step through code line by line until you find where it misbehaves. With practice, you'll turn error reports into aha! moments. Debugging Strategies - Understanding Algorithms and Complexity - Algorithms are step-by-step recipes for solving problems, and complexity analysis tells you how long they'll take or how much memory they need. Knowing that a linear search takes O(n) time means you'll plan smarter for big data. Dive deep to choose the right algorithm for the job! Algorithm Efficiency Explained