[100% Off] Python Basics - Practice Questions 2026

Python Basics 120 unique high-quality test questions with detailed explanations!

Added on February 21, 2026 IT & Software 3 min read

What you’ll learn

Understand Python syntax
variables
and data types for writing basic programs.
Learn control structures like loops and conditionals to build logical programs.
Work with functions
modules
and error handling for better code organization.
Gain confidence to solve real-world problems using core Python concepts.

Requirements

No prior programming experience required – this course starts from the fundamentals.
Basic computer skills such as using a keyboard
mouse
and web browser.
A computer or laptop with internet access to practice coding exercises.
Willingness to learn and practice regularly to build strong programming skills.

Description

Master Python Fundamentals: Comprehensive Practice Exams

Welcome to the most thorough practice exam suite designed to help you master Python Basics. Whether you are preparing for a technical interview, a certification, or simply want to solidify your coding foundation, these practice tests offer a rigorous and realistic environment to sharpen your skills.

Why Serious Learners Choose These Practice Exams

Serious learners understand that watching tutorials is only half the battle. True mastery comes from testing your knowledge and identifying gaps in your understanding. This course provides a high-quality question bank designed to challenge your logic and improve your debugging skills. With detailed explanations for every single question, you don’t just find out if you were right or wrong—you learn the underlying mechanics of the Python language.

Course Structure

The exams are organized into six logical stages to ensure a smooth learning curve from syntax basics to complex logic.

Basics / Foundations: This section focuses on the essential building blocks. You will be tested on variables, data types (integers, strings, floats), and basic arithmetic operators. It ensures you have a rock-solid start.
Core Concepts: Here, we dive into control flow and collections. Expect questions on if-else statements, for loops, while loops, and the fundamental usage of lists, tuples, and dictionaries.
Intermediate Concepts: This module covers functional programming basics. You will face questions regarding function definitions, arguments (*args and **kwargs), scope (local vs. global), and list comprehensions.
Advanced Concepts: Move beyond the basics with questions on Object-Oriented Programming (classes, inheritance), exception handling (try-except blocks), and working with modules and packages.
Real-world Scenarios: These questions simulate actual programming tasks. You will need to analyze code snippets to predict output or identify logical errors in a practical context.
Mixed Revision / Final Test: A comprehensive “Final Boss” exam that pulls questions from all previous categories. This mimics the pressure of a real certification exam or technical screening.

Sample Practice Questions

QUESTION 1

What is the output of the following code snippet?

my_list = [1, 2, 3]

my_list.append([4, 5])

print(len(my_list))

OPTION 1: 5
OPTION 2: 4
OPTION 3: 3
OPTION 4: 2
OPTION 5: Error
CORRECT ANSWER: OPTION 2
CORRECT ANSWER EXPLANATION: The append() method adds its argument as a single element to the end of the list. Even though [4, 5] is a list with two items, it is treated as one single object (a nested list) by append(). Therefore, the length increases from 3 to 4.
WRONG ANSWERS EXPLANATION:
- OPTION 1: 5 is incorrect because append() does not “unpack” the list. If extend() had been used, the answer would be 5.
- OPTION 3: 3 is incorrect because the list has clearly been modified.
- OPTION 4: 2 is incorrect as the initial list already had 3 elements.
- OPTION 5: Error is incorrect because appending a list to another list is a perfectly valid operation in Python.

QUESTION 2

Which of the following is the correct way to create a dictionary with a key “name” and value “Alice”?

OPTION 1: d = {“name”; “Alice”}
OPTION 2: d = [“name”: “Alice”]
OPTION 3: d = {“name”: “Alice”}
OPTION 4: d = (“name”: “Alice”)
OPTION 5: d = {name: “Alice”}
CORRECT ANSWER: OPTION 3
CORRECT ANSWER EXPLANATION: In Python, dictionaries are defined using curly braces {} and key-value pairs are separated by a colon :. Strings used as keys must be enclosed in quotes.
WRONG ANSWERS EXPLANATION:
- OPTION 1: This uses a semicolon instead of a colon, which causes a SyntaxError.
- OPTION 2: Square brackets [] are used for lists, not dictionaries.
- OPTION 3: This is the correct syntax.
- OPTION 4: Parentheses () are used for tuples or function calls, not dictionary definitions.
- OPTION 5: This would fail unless name was previously defined as a variable. Without quotes, Python looks for a variable named name rather than using the string “name”.