Python Exercises for Beginners: Solve 100+ Coding Challenges from Udemy

If you are learning Python and you want to take your Python skills to the next level with intensive practice, then this course is for you. Apply your knowledge to solve more than 100 Python exercises and check your solutions with step-by-step video lectures with visual effects and diagrams.

Solve 100+ Exercises to Take Your Python Skills to the Next Level.

Solve more than 100 exercises and improve your problem-solving and coding skills.
Learn new Python tools such as built-in functions and modules.
Apply your knowledge of Python to solve practical coding challenges.
Understand how the code works line by line behind the scenes.
Identify different ways to solve a problem and which one is more concise and efficient.
Test your code with different values and inputs to verify its correctness.
Gain practical and valuable coding skills.

Course Updates

The course is updated with new exercises and resources:

August 2022 - NEW Updated Section 1

November 2021 - NEW Exercise: Find the Intersection of Two Sets

November 2021 - NEW Exercise: Balanced Square Brackets

Improve your Python Skills and Gain Valuable Practical Experience

Python is currently one of the most popular programming languages and its popularity continues to rise every year. It is used for real-world applications in diverse areas such as Web Development, Data Science, Machine Learning, Artificial Intelligence and many more. Learning Python is your next step into the powerful world of computer science. Through practice, you can improve your coding and problem-solving skills. You will also learn new tools that you can use in Python.

Your knowledge of Python will be extremely helpful in any field, including:

Web Development
Machine Learning
Data Science
Artificial Intelligence
Game Development
Mobile App Development
Bioinformatics
Medical Software
Computer Vision
and... many more.

Coding skills are essential to succeed in the world of the future. Therefore, if you are thinking about entering any of these fields or if you are planning to expand your computer science skills, then this course is for you.

The concepts and techniques that you will learn in this course are easily transferable to other programming languages like Java, JavaScript, and many more because you will practice how to analyze and solve problems using code.

Goals

By the end of this course, you will be able to:

Analyze a problem step by step and develop a solution in Python.
Solve a problem in Python using different approaches.
Use built-in Python functions and modules to solve a problem efficiently.
Understand how the code works behind the scenes.
Work with the main elements of Python: strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more..
Test your code with various inputs and values to verify its correctness.

Learning Material & Resources

Coding Challenges: 100+ coding challenges with detailed descriptions and hints to guide you through this journey.
Exercises Divided by Levels of Difficulty: the exercises are divided into two levels, so you can start working on them according to your skill level and then solve more advanced exercises as you practice.
Video Lectures: 10+ hours of video lectures and resources with step-by-step solutions and explanations of how to analyze the problems and how the code works behind the scenes.
Visual Effects: You will learn how to solve these exercises with carefully designed visual effects, animations, and diagrams.
Test Cases: each coding challenge has test cases to help you test if your solution is correct. Each problem can be solved in multiple ways, so these test cases will help you confirm if your solution is correct.
Python Files: you will be able to download the sample solutions as Python files to run and experiment with the code in your device.
Progress Tracker: a PDF poster that you can print and cross out as you complete the exercises to help you track your progress.
Cornell Note-taking Method Page Format: a PDF format that you can print to take notes following the Cornell Note-taking Method (a page divided into three sections to write your notes, comments, and summary).
Code Notebook Format: a PDF format that you can print to write your solutions or the sample solutions by hand, analyze the code, and add your comments.

The Coding Challenges Cover:

Strings
Lists and Tuples
Dictionaries
Conditionals
Loops
Recursion
Files
Miscellaneous and More Challenging Exercises

Most exercises combine different elements from these topics, but the exercises are grouped by their most relevant category.

What makes this course unique?

This course is unique because of its emphasis on providing visual and detailed explanations of how the solutions work behind the scenes, so you will not only learn how to implement them in Python, you will actually understand the purpose of each line of code.

Unique study materials complement the course experience. You will find three PDF resources specifically designed for the course: a poster, a note-taking page format with the Cornell Note-taking Method, and a code notebook.

Check your solutions with detailed video lectures and download the sample solutions to run the code on your device.

You will receive a certificate of completion that you can add to your social media profiles to showcase your new skills.

You will also have lifetime access to the course.

You are very welcome to watch the preview lectures and check out the full course curriculum.

If you are looking for an engaging, visual, and practical course, then you found it.

Enroll now, practice your problem-solving skills, and showcase your new Python knowledge.

What's inside

Learning objectives

Practice your coding and problem-solving skills with 100+ python coding challenges designed for beginners.
Check your solutions with detailed step-by-step video lectures that explain how to solve each challenge.
Learn how to use python tools to solve exercises using strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more.

Solve challenging problems that combine your knowledge of the fundamentals of programming in python.
Ask questions to your instructor if you need any assistance or guidance.
Download the sample solutions as python files to run, test, and experiment with the code.

Practice your coding and problem-solving skills with 100+ python coding challenges designed for beginners.
Check your solutions with detailed step-by-step video lectures that explain how to solve each challenge.
Learn how to use python tools to solve exercises using strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more.
Solve challenging problems that combine your knowledge of the fundamentals of programming in python.
Ask questions to your instructor if you need any assistance or guidance.
Download the sample solutions as python files to run, test, and experiment with the code.

Syllabus

Welcome to the Course: Let's Start Coding

Welcome: Course Structure and PDF Resources

Welcome to the Course - Important Course Information

Collect Your Badge, Introduce Yourself, and Share your Goals

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Meticulously designed, this course provides a structured path for novice learners to solidify their Python foundations and gradually tackle more complex problems

Suitable for learners who have dabbled in Python but aspire to reinforce and extend their skills

Ideal for individuals seeking a comprehensive and engaging introduction to Python programming

Course materials include visual effects and lucid explanations, making abstract concepts more accessible to learners

Instructors provide prompt assistance and guidance to ensure learners stay on track

Reviews summary

Intensive python practice for beginners

According to learners, this course offers an exceptional opportunity for hands-on Python practice, featuring over 100 coding challenges designed to solidify foundational skills. Students praise the clear, step-by-step video solutions, often highlighting the beneficial visual effects and diagrams that illuminate how code operates. While broadly considered ideal for absolute beginners due to its thorough explanations and supportive structure, some find the pace a bit slow or the depth insufficient for intermediate or advanced topics. The unique supplementary PDF resources, such as progress trackers and code notebooks, are frequently mentioned as valuable additions.

Unique PDF resources enhance the structured learning experience.

"The PDF resources, like the progress tracker and code notebook, are a thoughtful addition."

"The unique study materials complement the course experience very well, especially the Cornell note-taking guide."

"The structured approach with distinct challenge and solution videos, plus PDF guides, is fantastic."

Well-suited for absolute beginners looking to build confidence.

"As a beginner, this course was perfect; it forced me to write code and debug effectively."

"This course is absolutely fantastic for solidifying Python fundamentals for new coders."

"It built my confidence immensely, and I always felt supported as a beginner."

Video solutions with visual effects aid understanding of code execution.

"The visual explanations truly make complex concepts easy to grasp, it's a game-changer."

"I appreciate the step-by-step solutions with diagrams, they're incredibly helpful."

"It helps to understand how the code works line by line behind the scenes, thanks to the visuals."

Provides extensive practical coding challenges for skill development.

"The 100+ challenges provide ample practice and solidify fundamentals."

"It's great to have a resource that focuses purely on problem-solving, exactly what I needed."

"I really needed practical coding experience, and this course delivered with so many exercises."

Pacing may be slow for some, and depth limited for advanced learners.

"Sometimes the solutions felt a bit too spoon-fed; I wished for more encouragement to find multiple solutions independently."

"While good for basics, it might not go deep enough for complex data structures or algorithms."

"I found the pace a bit slow at times, especially in the earlier sections, for someone with a little prior experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Exercises for Beginners: Solve 100+ Coding Challenges with these activities:

Organize and Review Course Materials

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Keep track of course materials, notes, and resources to enhance your learning experience and retention.

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Create a dedicated folder or notebook for course materials.
Organize materials by topic or module.
Review materials regularly to reinforce understanding.

Review Core Python Concepts

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Solidify your foundational understanding of Python concepts before diving deeper into the course material.

Browse courses on Data Types

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Review online tutorials or documentation covering core Python concepts.
Work through practice problems and exercises to test your understanding.
Identify areas where you need additional clarification or reinforcement.

Join a Python Study Group

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Connect with other learners to discuss Python concepts, share knowledge, and work together on challenges.

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Find a Python study group or create your own.
Set regular meeting times and establish a communication channel.
Take turns presenting Python topics and leading discussions.
Collaborate on solving problems and share resources.

Four other activities

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Solve a Set of Programming Challenges

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Practice applying Python fundamentals and problem-solving techniques to enhance your understanding of core concepts.

Browse courses on Python Basics

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Review the course material on Python basics, such as data types, variables, and conditional statements.
Start solving the coding challenges provided in the course.
Test your solutions against the provided test cases to verify their correctness.
Analyze your solutions and identify areas for improvement in your problem-solving approach.

Follow Tutorials on Python Libraries and Tools

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Explore and utilize Python libraries and tools to enhance your data analysis and visualization skills.

Browse courses on Python Libraries

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Identify specific Python libraries or tools relevant to your interests or career goals.
Locate high-quality tutorials or documentation for the chosen libraries.
Follow the tutorials step-by-step, implementing the concepts in your own Python environment.
Experiment with the libraries and tools to gain practical experience.

Contribute to a Python Open Source Project

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Engage with the Python community by contributing to open source projects, enhancing your coding skills and understanding.

Browse courses on GitHub

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Identify a Python open source project that aligns with your interests.
Review the project documentation and codebase.
Identify a specific issue or feature to work on.
Implement and test your code changes or contributions.
Submit a pull request to the project repository for review.

Build a Python Project

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Apply your Python knowledge and skills to create a tangible project that showcases your abilities.

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Identify a project idea that aligns with your interests.
Plan the project, outlining the goals, scope, and implementation details.
Implement the project using Python, utilizing appropriate libraries and techniques.
Test and refine the project to ensure it meets the desired functionality.
Document the project, including a description, code snippets, and any relevant resources.

Career center

Learners who complete Python Exercises for Beginners: Solve 100+ Coding Challenges will develop knowledge and skills that may be useful to these careers:

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Python Exercises for Beginners

Solve 100+ Coding Challenges

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Intensive python practice for beginners

Activities

Career center

Reading list

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