Python Basics Practice Exam

Python Basics Practice Exam

Python is one of the most beginner-friendly and widely used programming languages in the world. It is popular because of its simple syntax, which feels close to everyday English, making it easier to learn compared to other programming languages. Python Basics introduces learners to the foundation of coding, helping them write simple programs, perform calculations, and work with text and data.

Learning Python Basics is the first step toward building apps, websites, automations, and even artificial intelligence systems. With these basics, learners can understand how computers follow instructions, solve problems logically, and create small projects that form the stepping stone for advanced programming in the future.

Who should take the Exam?

This exam is ideal for:

• Beginner Programmers
• Junior Python Developers
• Data Analyst Interns
• Software Engineering Students
• QA Testers with coding interest
• Web Development Starters
• IT Support professionals moving to coding

Skills Required

• Basic computer usage knowledge
• Logical thinking and problem-solving ability
• Interest in coding and technology

Knowledge Gained

• Writing simple Python programs
• Understanding variables, data types, and functions
• Using conditions and loops for decision-making
• Handling text, numbers, and basic data structures
• Building small projects with confidence

Course Outline

The Python Basics Exam covers the following topics -

1. Introduction to Python

• What is Python?
• Why Python is popular
• Setting up Python environment

2. Python Syntax and Basics

• Writing and running Python scripts
• Indentation and formatting
• Comments in Python

3. Variables and Data Types

• Numbers, strings, and booleans
• Lists, tuples, and dictionaries
• Type conversion

4. Operators in Python

• Arithmetic operators
• Comparison operators
• Logical operators

5. Control Structures

• If-else statements
• For loops
• While loops

6. Functions in Python

• Defining and calling functions
• Parameters and return values
• Scope of variables

7. Working with Strings

• String operations
• String formatting
• Common string methods

8. Introduction to Collections

• Lists and operations
• Tuples basics
• Dictionaries and keys/values

9. Error Handling

• Common Python errors
• Try-except blocks
• Debugging tips