Who is the creator of the Python programming language?
Python was created by Guido van Rossum in the late 1980s and first released in 1991. He developed it at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language.
Option 1: James Gosling → known as the creator of Java.
Option 2: Bjarne Stroustrup → developed C++.
Option 4: Dennis Ritchie → created the C programming language.
Therefore, the correct answer is option 3: Guido van Rossum.
Which of the following best describes Python?
Python is an interpreted language, which means Python code is executed line by line by the Python interpreter, rather than being compiled into machine code beforehand.
It is also dynamically typed, so you do not need to declare variable types explicitly; the type is determined at runtime.
Why the other options are wrong:
Option 1: Python is not compiled in the traditional sense, nor is it statically typed.
Option 3: Assembly language is low-level, close to machine code, which Python is not.
Option 4: Python is a high-level language designed for readability and abstraction, unlike low-level languages.
Which of the following is used to indicate a block of code in Python?
In Python, indentation (using spaces or tabs) is used to define blocks of code, such as the body of loops, functions, or conditional statements. This makes Python code highly readable.
Why the other options are wrong:
Option 1:{ } are used in languages like C, C++, and Java to define code blocks, but not in Python.
Option 2:( ) are used for grouping expressions or function calls, not for code blocks.
Option 4:; is used to separate multiple statements on a single line in Python, but it does not define blocks.
Understanding indentation is crucial in Python because improper indentation will cause a IndentationError at runtime.
Which symbol is used in Python to indicate the start of a comment?
In Python, the # symbol is used to start a single-line comment. Anything written after # on the same line is ignored by the Python interpreter and is used for code documentation.
Why the other options are wrong:
Option 1:// is used for single-line comments in languages like C, C++, and Java.
Option 2:/* */ is used for multi-line comments in C, C++, and Java.
Option 3:<!-- --> is used for comments in HTML, not Python.
Comments are important for making code readable and maintainable, allowing other developers (or yourself) to understand the purpose of certain code sections.
Which of the following is a key feature of Python?
Python is known for its interpreted nature and readable syntax. It allows developers to write clean and concise code without worrying about low-level details like memory management. Python emphasizes simplicity and readability, which makes it ideal for beginners.
Why the other options are wrong:
Option 1: Python handles memory management automatically through garbage collection.
Option 2: Python uses indentation instead of braces or semicolons, making its syntax simpler.
Option 4: Python is cross-platform; the same code can run on Windows, Linux, or MacOS without modification.
Which of the following statements about Python is correct?
Python is a multi-paradigm language, which means it supports several programming styles:
Object-oriented programming: Using classes and objects to model real-world entities.
Functional programming: Using functions as first-class objects and supporting constructs like map, filter, and lambda.
Why the other options are wrong:
Option 2: Python is versatile and can be used for web development, data science, machine learning, automation, and more.
Option 3: Python is an interpreted language, so it executes code line by line without pre-compilation.
Option 4: Python has a rich standard library and supports external modules, allowing code reuse and modular programming.
Which of the following statements about Python’s typing system is correct?
Python uses dynamic typing, so you don’t need to declare a variable’s type explicitly. The interpreter determines the type automatically at runtime based on the value assigned.
For example:
x = 5 # x is an integer
x = "Hello" # now x is a string
Why the other options are wrong:
Option 2: Explicit type declarations are not required in Python.
Option 3: Variables can be reassigned to different types freely in Python.
Option 4: Python is not statically typed; types are checked at runtime, unlike C or Java.
Which of the following is not a feature of Python?
Python is a high-level, interpreted, and dynamically typed language. This means:
Variables do not need explicit type declarations; the interpreter determines their type at runtime.
It supports cross-platform compatibility, allowing code to run on Windows, Linux, and MacOS without modification.
It has automatic memory management via garbage collection.
Python comes with an extensive standard library covering various tasks, from file I/O to networking.
Why the other options are wrong:
Option 1: Python runs on multiple platforms, so this is a valid feature.
Option 2: Python handles memory automatically, making this a feature.
Option 4: Python’s standard library is vast, providing tools for many programming needs.
Which of the following is true about Python’s popularity?
Python is one of the most popular programming languages today because:
Its simple and readable syntax makes it beginner-friendly.
It supports multiple programming paradigms: procedural, object-oriented, and functional.
Python is versatile, used in web development, data science, AI/ML, automation, and more.
It has a large standard library and active community, offering extensive support and third-party packages.
Why the other options are wrong:
Option 1: Python is used far beyond academia, including industry, startups, and large corporations.
Option 2: Python has one of the richest ecosystems of libraries and frameworks.
Option 3: Python’s learning curve is gentle, making it suitable for beginners.
Which of the following best describes Python’s execution model?
Python uses an interpreted execution model, meaning the interpreter reads and executes the code line by line at runtime. This allows for immediate feedback and makes debugging easier.
Why the other options are wrong:
Option 1: Python is not traditionally compiled into machine code like C or C++; it is interpreted.
Option 2: Python runs on multiple environments including desktops, servers, and embedded systems—not limited to browsers.
Option 3: Python does not require a virtual machine; it runs on a standard Python interpreter.
This approach makes Python highly flexible and easy to experiment with during development.
Which of the following is true about Python’s indentation rules?
In Python, indentation is mandatory for defining blocks of code such as functions, loops, and conditional statements. Improper indentation will cause a IndentationError at runtime.
Why the other options are wrong:
Option 1: Indentation is not optional; it is a core part of Python’s syntax.
Option 2: Python does not use curly braces{ } for code blocks, unlike languages like C or Java.
Option 4: Indentation is not ignored; the interpreter uses it to determine block structure.
Correct indentation is essential for readable and error-free Python code.
Which of the following statements about Python’s memory management is correct?
Python has automatic memory management, meaning developers don’t need to manually allocate or free memory. Python primarily uses:
Reference counting: Each object keeps track of how many references point to it. When the count reaches zero, memory is reclaimed.
Garbage collection: Detects and cleans up cycles of objects that reference each other but are no longer accessible.
Why the other options are wrong:
Option 1: Manual memory management is required in languages like C, not Python.
Option 2: Python uses both stack and heap memory, not stack only.
Option 3: Python actively manages memory, so this is incorrect.
Understanding Python’s memory model helps optimize performance and avoid memory leaks in large applications.
Which of the following statements about Python’s execution speed is most accurate?
Python is an interpreted language, which generally makes it slower than compiled languages like C or C++ because the interpreter executes code line by line rather than compiling it to machine code beforehand.
However, Python execution speed can be improved using:
C extensions (e.g., NumPy for numerical computations)
Just-In-Time compilers like PyPy
Code optimization and efficient algorithms
Why the other options are wrong:
Option 1: Python is usually slower than compiled languages due to interpretation overhead.
Option 3: Execution speed can be improved with optimization techniques.
Option 4: Python does not automatically execute code in parallel; concurrency must be implemented explicitly.
Which of the following is true about Python’s cross-platform capability?
Python is a cross-platform language, meaning the same Python code can generally run on multiple operating systems without modification. This is possible because Python is interpreted by the Python interpreter, which exists for Windows, Linux, MacOS, and other platforms.
Why the other options are wrong:
Option 1: Python code does not fail automatically on other platforms; most scripts work the same across systems.
Option 2: Python does not require compilation for different platforms, unlike languages like C or C++.
Option 3: Python supports more than just Windows and Linux; MacOS, Unix, and even some mobile platforms are supported.
This feature makes Python very versatile for development and deployment across different environments.
Which of the following statements about Python’s standard library is correct?
Python comes with a comprehensive standard library known as “batteries included.” It provides ready-to-use modules for a wide variety of tasks:
File handling: reading/writing files, working with paths.
Networking: HTTP requests, socket programming.
Web development: modules like http, cgi.
Data handling: csv, json, sqlite3.
Utilities: os, sys, datetime, math.
Why the other options are wrong:
Option 1: Python’s standard library is extensive; third-party modules are not always necessary.
Option 2: The library includes much more than just string and numeric operations.
Option 4: Modules in the standard library are fully accessible and importable in scripts.
A strong understanding of the standard library allows Python developers to implement complex functionality without relying on external packages.
Quick Recap of Python Introduction Concepts
If you are not clear on the concepts of Introduction, you can quickly review
them
here before
practicing the exercises. This recap highlights the essential points and logic to help you solve
problems
confidently.
What is Python
Python is a high-level, interpreted programming language designed to be simple, readable, and versatile.
Creator & History: Developed by Guido van Rossum and first released in 1991.
Purpose: Designed to be easy to learn for beginners while still powerful enough for professional software development.
Uses: Python is used in many domains:
Web development
Data analysis and data science
Artificial intelligence and machine learning
Automation and scripting
Educational purposes (ideal for learning programming concepts)
Python’s popularity stems from its simplicity, wide community support, and versatility.
Key Features of Python
Python offers several features that make it an excellent choice for beginners:
Readable and clean syntax: Python code is structured and easy to understand, reducing the learning curve for new programmers.
Dynamically typed: Variables do not require explicit type declarations (details in the Variables topic). Python automatically detects types during execution.
Cross-platform compatibility: Python can run on Windows, macOS, Linux, and many other platforms without modification.
Supports multiple programming paradigms: Includes procedural, object-oriented, and functional programming approaches, making it flexible for different projects.
Extensive standard library and community support: Python comes with built-in modules, and a large ecosystem of third-party packages allows solving complex tasks efficiently.
Python Execution Model
Python is an interpreted language, which means:
Code is executed line by line rather than being compiled into machine language first.
This allows beginners to write and run programs without needing complex compilation steps.
Programs can be executed via:
Python interpreter in the terminal or command prompt
Integrated Development Environments (IDEs) like PyCharm, VS Code, or Thonny
Online interactive environments such as Jupyter Notebook or Repl.it
The interpreted nature also makes debugging simpler for learners since errors are reported immediately.
Python Syntax Basics
Understanding Python’s syntax is essential for writing error-free programs:
Indentation: Python uses indentation (spaces or tabs) to define blocks of code. Unlike languages like C or Java, braces {} are not used.
Comments: Comments help explain code without affecting execution:
# This is a single-line comment
"""
This is a multi-line comment
"""
Statements and line endings: Each statement typically goes on its own line; semicolons are optional.
At this stage, learners focus on writing properly indented, commented, and well-structured Python scripts.
Why Python is Beginner-Friendly
Python is widely recommended for beginners because:
Minimal boilerplate: Programs can be written in fewer lines of code than many other languages.
Straightforward logic: Python code reads almost like English, helping learners focus on problem-solving instead of complex syntax.
Large community support: Extensive documentation, tutorials, and forums make it easy to get help.
Immediate feedback: Interpreted execution allows beginners to see results quickly, reinforcing learning.
Next Steps After Introduction
After mastering the basic concepts of Python’s structure and syntax, learners are ready to move on to core topics covered in other exercises:
Variables & Data Types – storing and manipulating data
Input & Output – interacting with users
Operators – performing calculations and comparisons
Control Flow – using if, else, elif, and loops to make decisions
Functions – writing reusable code blocks
Completing these topics in sequence ensures a strong foundation before tackling advanced topics like lists, strings, file handling, or object-oriented programming.
Practicing Python Introduction? Don’t forget to test yourself later in
our
Python Quiz.
About This Exercise: Python – Introduction
Welcome to Solviyo’s Python – Introduction exercises, designed specifically for beginners who are starting their programming journey. This exercise set provides a gentle introduction to Python, helping you understand the essential concepts that form the foundation of the language. Whether you are completely new to programming or exploring Python for the first time, these exercises will guide you step by step in a structured and practical way.
What You Will Learn
In this set of exercises, you will explore the fundamental aspects of Python, including:
The history and origins of Python, including the person behind its creation, which laid the foundation for one of the most popular programming languages today.
Understanding Python as an interpreted and dynamically typed language, which means Python code is executed line by line and variable types are determined automatically during runtime.
How Python uses indentation (spaces or tabs) to define blocks of code, such as loops, conditional statements, or functions. Correct indentation is essential for Python programs to run correctly.
The use of comments in Python to explain your code or temporarily disable certain lines for testing. Comments help make your code easier to read and understand, and are an important part of programming practice.
These exercises are designed to give you hands-on practice with these foundational concepts, helping you develop a solid understanding of Python’s basic structure and behavior before moving on to more advanced topics.
Why Learning Python Basics Matters
Mastering Python’s core principles is a critical first step for any aspiring programmer. Understanding the origin of Python, its interpreted and dynamically typed nature, proper indentation, and the use of comments will help you write clean and error-free code. A strong grasp of these basics will also make it easier to learn more complex concepts such as loops, functions, and data structures in the future.
Start Your Python Journey Today
With Solviyo’s Introduction to Python exercises, you can start building a strong foundation in programming. By practicing these beginner-friendly exercises, you will gain the confidence and skills needed to tackle more advanced Python challenges and projects, setting you on the path to becoming a proficient Python programmer.
Need a Quick Refresher?
Jump back to the Python Cheat Sheet to review concepts before solving more challenges.