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300+ Python Exercises for Beginners to Advanced
Role Play
Rating: 4.4 out of 5(493 ratings)
77,243 students

300+ Python Exercises for Beginners to Advanced

Practice Python with 300+ exercises covering basics, logic building, data structures, and problem solving
Last updated 3/2026
English

What you'll learn

  • After this course, your Python Programming Skill will Improve.
  • You will get in this course Simple, Intermediate and Complex Tasks with proper Algorithm and Support
  • After this course you will be able to Learn Properly as Artificial intelligence, Data Science, Web Development, Data Analytics etc.
  • This course will CLEAR 100% your weak Python Concepts
  • You will get Solution for each Problem with its Algorithm, PPT Notes, Special Support and Assignment
  • Ability to solve complex programming problems using Python.
  • Understanding of Python data structures (List, Tuple, Dictionary and SET)
  • Proficiency in Python syntax and control structures.
  • Ability to write efficient and optimized code in Python.
  • Understanding of object-oriented programming concepts in Python.
  • After this course, Ability to develop Python-based applications, including web applications and Desktop applications
  • Understanding of various Python libraries and frameworks.
  • Ability to design and implement Python-based data structures.
  • Familiarity with Python best practices and coding standards.
  • Ability to work with Python libraries for data analysis like numpy, pandas etc
  • Understanding of Python security practices and techniques.
  • Ability to write clean, efficient, and maintainable Python code.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

12 sections359 lectures34h 2m total length
  • Python Introduction with Explanation4:29

    Explore Python's origins by van Rossum in 1991, its general-purpose design, and its easy, readable syntax. See how it powers AI, data science, and web development with Instagram and Google.

  • Python Downloading and Installation3:18

    Learn how to check if Python is installed using the command prompt, install Python from python.org, and add Python to path, then pick a suitable IDE.

  • Introduction IDE in Python5:29

    Understand what an integrated development environment (IDE) is and how it helps write and debug Python and other languages using tools like VSCode or PyCharm.

  • Variable in Python with Examples11:51

    Explore how Python variables act as containers that store and change values, and learn declaring, initializing, printing, and handling undefined variables and the global versus local scope.

  • Declaration and Initialization of Variable in Python5:36

    In Python, declare and initialize a variable on the same line using a = value. This follows naming rules and contrasts with C++, where declaration and initialization occur on lines.

  • Rules to Declare a Variable in Python6:42

    Learn Python variable naming rules: no spaces, underscores or camel case, avoid starting with digits, and respect case sensitivity. Avoid reserved words and syntax errors.

  • Data Type in Python2:08

    Explore Python data types by categorizing numeric types (integer, float, complex), strings (alphanumeric and special characters), booleans, and date types, and learn how to declare data to the interpreter.

  • Mutable Immutable Sequence and Non Sequence Data Type8:42

    Explore mutable and immutable data types in Python, including lists, dictionaries, integers, floats, strings, and tuples, and compare sequence versus non-sequence types like sets.

  • Roll Play | From Setup to Data Types
  • List-Data Structure in Python9:52

    Explore Python lists as a mutable, heterogeneous, ordered data type that serves as an array alternative. Learn indexing, nesting, concatenation (+), repetition (*), membership (in, not in), and iteration.

  • Tuple-Data Structure in Python7:43

    Explore the tuple data structure in Python, covering immutability, indexing, and nested tuples, and demonstrate concatenation, repetition, membership tests, and iteration alongside tuple vs list differences.

  • Dictionary-Data Structure in Python5:21

    Explore the dictionary data structure in Python, storing data as key-value pairs in curly braces. Access values by key, and create, print, and iterate dictionaries; duplicates are not allowed.

  • SET Data Structure in Python8:33

    Master the python set data structure: an unordered, mutable collection of immutable elements that supports union, intersection, difference, and symmetric difference, with creation via set() and no indexing.

  • Roll Play | Mastering Python Data Structures
  • Python Decision making Structure with Examples3:23

    Explore Python decision making structures, including if, else, and nested if-else statements, with examples like age checks, day-based messages, admission eligibility, and even-number validation.

  • Python if Statement with Examples5:21

    Explore the Python if statement as a decision making structure, using a condition to control execution with colon and indentation. See examples of relational operators, equality checks, and true/false paths.

  • Python if else Statement with Examples4:40

    Explore how the python if else statement uses a condition to execute different statements when true or false, with syntax, else blocks, and practical examples that display messages.

  • Python nested if Statement with Examples5:45

    Explore nested if statements, where one if block sits inside another, and learn how conditions are evaluated sequentially with examples in Visual Studio Code using Python and modulus operations.

  • elif Decision Making Structure in Python Couse7:47

    Explore the elif decision making structure in Python, using it between if and else to handle multiple conditions, illustrated with a vowel versus not vowel example.

  • Function in Python with Examples12:04

    Explore the basics of functions in Python, including defining with def, creating and calling functions, and using parameters and arguments to pass data and enable code reuse.

  • For Loop in Python with Examples10:21

    Explore for loop in python to iterate over iterable objects like lists, tuples, dictionaries, and strings, using range with start, stop, and step to generate sequences and print results.

  • While Loop in Python with Examples11:19

    Explore the while loop in Python to repeat statements while a condition is true. Master initialization, condition checks, loop body, and increment or decrement with addition assignments.

  • Roll Play | Building Logic in Python

Requirements

  • Generally, no need of prerequisites for this course but Basic knowledge of Python is best if you have!
  • You did not need to buy any paid software for this course
  • You did not need of any advance knowledge of IDE
  • You did not need to have advanced Python Programming knowledge, you will learn in this course

Description

300+ Python Exercises (Simple, Intermediate & Complex) | Complete Python Bootcamp

Hi, Welcome to the Python Mega Course – 300+ Python Exercises designed to take you from Python Zero to Hero! This course is your ultimate guide to mastering Python programming through hands-on practice and real-world examples. Whether you are a beginner or an experienced coder, this Complete Python Bootcamp will help you strengthen your skills with over 300 exercises across simple, intermediate, and complex levels.

Why You Should Take This Python Exercises Course

If you’re looking to improve your Python programming skills, gain hands-on experience, and prepare for a career in data science, machine learning, or web development, this course is perfect for you.

This Python Exercises course includes:

  • 100+ Simple Python Problems with Solutions

  • 100+ Intermediate Python Problems with Solutions

  • 100+ Complex Python Problems with Solutions

Every exercise comes with source code, algorithm, PPT notes, and assignments for additional practice. By following this course, you will gain confidence in solving problems, writing clean code, and applying Python in real-world scenarios.

This course is also inspired by the 100 Days of Python / 100 Days of Code approach, ensuring consistent daily practice to help you build a strong foundation and become a Python developer.

What You Will Learn

Through these 300+ exercises, you will cover essential Python topics, including:

  • Python Data Structures: lists, tuples, dictionaries, sets

  • Control Structures: if/else statements, loops, functions

  • Object-Oriented Programming: classes, inheritance, polymorphism

  • File Handling & Input/Output Operations

  • Exception Handling

  • Regular Expressions

  • GUI Programming with Tkinter

  • Python Libraries & Modules: NumPy, Pandas, and other key libraries

  • Web application relevant Python exercises

By the end of this course, you will have mastered Python programming from basic syntax to advanced concepts, making you ready for any professional project or technical interview.

Why Python Programming Practice Matters

Consistent Python programming practice is essential for building problem-solving skills, understanding Python syntax, and preparing for data science, AI, or web development roles. By practicing these Python exercises, you will develop a strong coding foundation and become comfortable with real-world programming scenarios.

Course Features

  • 300+ Python Exercises categorized by difficulty

  • Complete solutions with source code, algorithms, PPT notes, and assignments

  • Hands-on exercises aligned with 100 Days of Python / 100 Days of Code practice

  • Focus on quality, clear explanations, and practical examples

  • Suitable for beginners as well as intermediate learners aiming for Python Zero to Hero mastery

Advantages of This Course

When you enroll in this Python Bootcamp / Complete Python Bootcamp / Python Mega Course, you will get:

  • Comprehensive video lectures covering all exercises

  • Assignments for additional practice and skill reinforcement

  • Detailed solutions for every problem

  • Downloadable source code and notes

  • Properly structured study materials for effective learning

  • Lifetime access with updates included

Who This Course is For

  • Beginners aiming to start Python programming from scratch

  • Students or professionals wanting to practice Python exercises daily

  • Anyone following the 100 Days of Python / 100 Days of Code challenge

  • Developers looking to improve problem-solving and coding skills for data science, web development, or AI

Take Your Python Skills to the Next Level

By completing this Complete Python Bootcamp, you will:

  • Become proficient in Python and solve simple to complex problems

  • Apply Python skills in real-world projects and assignments

  • Prepare for Python developer roles, freelancing, or data science positions

  • Gain confidence in programming with Python Zero to Hero approach

This is your opportunity to practice, learn, and master Python while following a structured approach designed to boost your coding career.

Enroll now in the 300+ Python Exercises course and start your journey from beginner to Python expert today!

Who this course is for:

  • This course is for anyone who wants to improve their Python skills and gain hands-on experience with a wide range of programming challenges.
  • If you're a beginner to Python programming or are looking to reinforce your foundational knowledge of the language, this course is a great fit.
  • For those who already have some experience with Python, this course offers a chance to stretch your abilities and tackle more complex programming problems.
  • Whether you're a student, a hobbyist, or a professional developer, this course offers something for everyone who wants to deepen their understanding of Python programming.
  • If you're interested in preparing for coding interviews or want to build your confidence in your Python abilities, this course is a fantastic resource.
  • This course is ideal for those who prefer to learn through hands-on practice rather than simply reading or watching tutorials.
  • If you're interested in pursuing a career in data science, machine learning, or web development, this course can help you build a strong foundation in Python programming.
  • For those who are self-taught or have learned Python through informal channels, this course can help fill in gaps in knowledge and provide a more structured learning experience.
  • If you're looking for a way to keep your programming skills sharp and stay up-to-date with the latest Python features and techniques, this course can provide a valuable challenge.
  • This course is suitable for those who want to take their Python coding skills to the next level and become more confident and proficient in the language.