Data Structures and Algorithms in Python - Full Course for Beginners

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Embark on a comprehensive 13-hour journey into data structures and algorithms using Python. Learn essential concepts like linked lists, stacks, queues, and graphs, as well as fundamental algorithms for searching, sorting, recursion, and dynamic programming. Master binary search, explore binary search trees, and dive into hash tables and Python dictionaries. Tackle sorting algorithms, understand divide and conquer strategies, and delve into recursion and dynamic programming techniques. Explore graph algorithms, including breadth-first search, depth-first search, and shortest path algorithms. Gain practical experience through hands-on coding exercises, assignments, and a step-by-step project. Conclude with valuable insights on Python interview questions, tips, and advice to boost your coding interview preparation and overall programming skills.

Syllabus

Introduction.
Binary Search Linked Lists and Complexity.
Introduction.
Problem.
The Method.
Solution.
Complexity and Big O notation.
Binary Search vs Linear Search.
Generic Binary Search.
Summary and Conclusion.
Assignment Walkthrough.
Introduction.
Problem- Rotated Lists.
The Method.
Solution.
Summary and Conclusion.
Binary Search Trees Python Tutorial.
Introduction.
Problem.
The Method.
Binary tree.
Traversing Binary Tree.
Binary Search Tree.
Self-Balancing Binary Trees and AVL Trees.
Summary and Conclusion.
Hash Tables and Python Dictionaries.
Introduction.
Problem.
Data List.
Hash Function.
Basic Hash Table Implementation.
Handling Collisions with Linear Probing.
Summary and Conclusion.
Sorting Algorithms and Divide & Conquer.
Introduction.
Problem.
The Method.
Custom Comparison Functions.
Summary and Conclusion.
Recursion Memoization & Dynamic Programming.
Introduction.
Problem.
The Method.
Solution.
Knapsack Problems.
The Method.
Solution.
Summary and Conclusion.
Graph Algorithms BFS, DFS & Shortest Paths.
Introduction.
Graph Data Structure.
Graph Algorithms - Breadth-First Search.
Depth-First Search.
Shortest Paths.
Summary and Conclusion.
Python Interview Questions Tips & Advice.
Introduction.
The Method.
Solution.
Summary and Conclusion.

Taught by

freeCodeCamp.org

Reviews

4.6 rating, based on 264 Class Central reviews

Start your review of Data Structures and Algorithms in Python - Full Course for Beginners

Mohd Umair @umair638

Nice course and this course give me more knowledge about python programming and use case of python tool make your application or website attractive
RAGELLA MANISH @manish1212
1

The "Data Structures and Algorithms in Python - Full Course for Beginners" is an excellent resource for anyone looking to build a strong foundation in programming. The course is well-structured, starting with the basics of Python and gradually intro…

The "Data Structures and Algorithms in Python - Full Course for Beginners" is an excellent resource for anyone looking to build a strong foundation in programming. The course is well-structured, starting with the basics of Python and gradually introducing more complex data structures like arrays, linked lists, stacks, queues, and trees. The explanations are clear and concise, making it easy for beginners to grasp key concepts. Additionally, the course provides practical examples and coding exercises, which help reinforce the learning material.

One of the standout features of this course is its focus on real-world applications. The instructor does a great job of connecting theoretical concepts to practical scenarios, which is particularly useful for those new to the field. The use of Python as the teaching language is also a plus, given its readability and widespread use in industry.

Overall, this course is highly recommended for beginners who want to gain a solid understanding of data structures and algorithms in Python. It's comprehensive, engaging, and provides a strong foundation for further study in computer science.
Thirukumaran S
1

“Data Structures and Algorithms in Python - Full Course for Beginners” is a solid starting point for anyone new to programming or DSA. The explanations are clear, concepts are broken down step by step, and the use of Python makes it easier to follow along. It covers fundamental topics like arrays, linked lists, stacks, queues, trees, and sorting algorithms in a structured way. However, some sections could include more real-world examples and practice problems to strengthen understanding. Overall, it’s a very helpful and beginner-friendly course.
HIMANSHU KASHYAP @himanshu12

The Data Structures and Algorithms in Python - Full Course for Beginners by freeCodeCamp is an excellent resource for anyone starting their programming journey. The instructor explains core concepts clearly, covering arrays, linked lists, stacks, queues, trees, and algorithms like sorting and searching. The course balances theory with hands-on coding, making it easier to understand complex topics. It's beginner-friendly and progresses at a manageable pace. The visuals and examples help reinforce learning, and the use of Python makes it accessible. Highly recommended for those looking to strengthen their fundamentals in computer science and prepare for coding interviews. A top-quality free course!
Ram Narayana @Narayana
1

The course was very knowledgeable and clear and would definitely visit it again to brush up the concepts and have a deeper understanding
Neel Patel 097 @neelpatel20

The "Data Structures and Algorithms in Python - Full Course for Beginners" by freeCodeCamp is an outstanding resource for newcomers to programming. Spanning over 13 hours, it covers essential topics such as linked lists, stacks, queues, and sorting algorithms with clarity and depth. The instructor, Aakash N S, effectively breaks down complex concepts into digestible lessons, complemented by hands-on coding exercises using Jupyter notebooks. The course also includes real interview questions, enhancing practical understanding. Overall, this course provides a solid foundation in DSA, making it a must-try for anyone looking to advance their programming skills.
SONGSONG BLABAR RAHMADANI

> Kursus ini sangat bermanfaat dan memberikan banyak wawasan baru yang relevan dengan kebutuhan dunia kerja saat ini. Materi disampaikan secara sistematis, mulai dari konsep dasar hingga pembahasan yang lebih mendalam, sehingga mudah dipahami oleh…

> Kursus ini sangat bermanfaat dan memberikan banyak wawasan baru yang relevan dengan kebutuhan dunia kerja saat ini. Materi disampaikan secara sistematis, mulai dari konsep dasar hingga pembahasan yang lebih mendalam, sehingga mudah dipahami oleh peserta dengan berbagai tingkat kemampuan. Saya sangat mengapresiasi cara penyampaian materi yang jelas, disertai contoh-contoh praktis yang membantu memahami penerapan konsep dalam situasi nyata. Selain itu, modul dan sumber belajar yang diberikan juga cukup lengkap dan mendukung proses pembelajaran secara mandiri. Setelah mengikuti kursus ini, saya merasa pengetahuan dan keterampilan saya meningkat, terutama dalam memahami konsep, strategi, dan praktik terbaik yang dibahas selama pelatihan. Kursus ini juga memberikan motivasi untuk terus belajar dan mengembangkan diri. Saya merekomendasikan kursus ini kepada mahasiswa, profesional, maupun siapa saja yang ingin meningkatkan kompetensi dan memperluas wawasan di bidang terkait. Terima kasih kepada instruktur dan penyelenggara atas pengalaman belajar yang sangat berharga.
Kasa Sandeep Patel

The freeCodeCamp “Data Structures and Algorithms in Python – Full Course for Beginners” course is one of the best free resources for beginners who want to learn DSA using Python. The explanations are simple, clear, and easy to follow, making it suit…

The freeCodeCamp “Data Structures and Algorithms in Python – Full Course for Beginners” course is one of the best free resources for beginners who want to learn DSA using Python. The explanations are simple, clear, and easy to follow, making it suitable even for students with little programming experience. It covers important topics such as arrays, linked lists, stacks, queues, trees, graphs, recursion, sorting, searching, and time complexity analysis. The course is highly practical because it includes coding examples and problem-solving approaches instead of only theory. One of its biggest advantages is that it is completely free and structured like a full roadmap for interview preparation. However, since the course is more than 12 hours long, it requires consistency and regular practice. Some advanced interview patterns and competitive programming concepts are not covered in depth, so learners should additionally practice problems on platforms like LeetCode, CodeChef, and HackerRank. Overall, the course is an excellent choice for beginners and provides a strong foundation in Data Structures and Algorithms using Python.
Chethan Gowda TL @Chethankannadiga

Well it is help me to learn about python data structures
I am already studied data structures this course help me to learn what are I don't know in Data structures.
Thank you for class center
Vanaja Sha
1

Very useful for this course.
I really understand about data structure and algorithms in python.
This course very helpful for my career.
Just My Opinion
1

Here's a review for a Python DSA (Data Structures and Algorithms) course: Excellent Python DSA Course - A Must for Beginners and Intermediate Learners! I recently completed the Python Data Structures and Algorithms course, and I couldn’t be more s…

Here's a review for a Python DSA (Data Structures and Algorithms) course:

Excellent Python DSA Course - A Must for Beginners and Intermediate Learners!

I recently completed the Python Data Structures and Algorithms course, and I couldn’t be more satisfied with the content and structure. As someone who was relatively new to both Python and algorithms, I found this course to be a perfect blend of theory and practical application.

The course begins with a solid introduction to data structures such as arrays, linked lists, stacks, and queues. It then gradually delves deeper into more complex topics like trees, graphs, hash tables, and sorting algorithms. The explanations were clear, concise, and easy to follow, even for beginners like myself. The course also provided an in-depth understanding of time and space complexity, helping me improve my problem-solving skills.

What sets this course apart is the emphasis on coding practice. The hands-on coding challenges were well thought out and gave me the opportunity to implement the concepts I learned. The real-world problem-solving examples also helped to solidify my understanding of each data structure and algorithm.

The Python examples were easy to follow, and the instructor took the time to explain every line of code. The course also had great resources such as quizzes, assignments, and additional reading materials that were very helpful.

Overall, this course is a fantastic resource for anyone looking to improve their knowledge of algorithms and data structures in Python. Whether you’re preparing for technical interviews or looking to strengthen your coding skills, this course provides all the tools needed for success.

Highly recommend!
HariHara @hari1903

This course is a fantastic starting point for anyone new to data structures and algorithms. The explanations are clear and easy to follow, and the instructor does a great job of breaking down complex concepts into manageable chunks. The coding exercises are also well-designed and help reinforce the material. I highly recommend this course to anyone looking to build a strong foundation in data structures and algorithms.
Kuncha Vamshi Reddy @vamshi17

good platform to enhance skills and great for learning Data Structures and Algorithms in python and topic was very clearly explained. i understood total concepts
Sailesh Tuniki
2

The "Data Structures and Algorithms in Python - Full Course for Beginners" by freeCodeCamp is an excellent resource for anyone looking to gain a solid foundation in computer science. This comprehensive course covers a wide range of fundamental topic…

The "Data Structures and Algorithms in Python - Full Course for Beginners" by freeCodeCamp is an excellent resource for anyone looking to gain a solid foundation in computer science. This comprehensive course covers a wide range of fundamental topics, including arrays, linked lists, stacks, queues, trees, and graphs, as well as essential algorithms such as sorting and searching. The instructor explains each concept in a clear and concise manner, making it easy for beginners to understand and follow along. The use of Python, a popular and beginner-friendly programming language, enhances the learning experience. Practical coding exercises and examples are provided throughout the course, allowing learners to apply what they've learned and reinforce their understanding. Additionally, the course emphasizes the importance of algorithmic thinking and problem-solving skills, which are crucial for any aspiring programmer. Overall, this course is a valuable resource for anyone looking to master data structures and algorithms using Python, providing a solid foundation for further studies and practical applications in software development.
Naved Saiyyad

This course is excellent for beginners who want to learn Data Structures and Algorithms in Python. The explanations are simple, clear, and easy to follow. I liked how the instructor covered important DSA topics step by step with practical coding examples. The course helped me improve my Python problem-solving skills and understand concepts like arrays, linked lists, stacks, queues, trees, and sorting algorithms. It is a great free resource for students and aspiring software or AI engineers.
Suhani Sagarsingh Pardeshi

Excellent DSA in Python lectures! Concepts are explained in a simple, easy-to-understand way with clear examples. Great for beginners!
Vijay Kumar

This course is an exceptional, comprehensive entry point for anyone looking to master the foundational pillars of Computer Science using Python. It bridges the gap between basic syntax and the problem-solving mindset required for technical interviews at top-tier companies.
Anonymous

It was a nice concept with good explanation. I have learned the basic algorithm and programming concept of python and the core of algorithm
Nithya Murugan

One of the best aspects of the course was its flexibility, allowing me to learn at my own pace. The assignments and quizzes were useful for testing my knowledge and reinforcing what I learned.
However, there is some room for improvement. A few sections could include more real-world examples or practical applications to enhance learning further.
Overall, I would recommend this course to anyone looking to build their knowledge and skills in this area.
Nazruddin Shaikh

I recently completed the "Data Structures and Algorithms in Python - Full Course for Beginners" and I am thoroughly impressed with the content and structure of the course. As someone who is new to programming and computer science, this course provid…

I recently completed the "Data Structures and Algorithms in Python - Full Course for Beginners" and I am thoroughly impressed with the content and structure of the course. As someone who is new to programming and computer science, this course provided a clear, step-by-step approach to understanding the fundamentals of data structures and algorithms using Python.

What I Liked:

Clear and Concise Explanations: The course starts with the basics and slowly builds up to more complex concepts. Each topic is explained in detail with clear examples, which made it easier to grasp even for a beginner like me.

Hands-on Coding: The course is very interactive. There are plenty of coding exercises that help reinforce what you've learned. The instructor encourages you to write and run your own code, which helped me build my confidence in coding.

Comprehensive Coverage: The course covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms, and more. The explanations of each data structure and algorithm are followed by their Python implementations, which helps in understanding their real-world applications.

Python-Specific Approach: Since I was learning Python, the course was particularly helpful in using Python to implement the concepts. It made me comfortable working with Python’s built-in data structures and libraries.

Great for Beginners: As the course is designed for beginners, it doesn’t assume prior knowledge, which was perfect for me. The pace is steady and the instructor is very patient, ensuring no one is left behind.

What Could Be Improved:

More Advanced Problems: While the course is excellent for beginners, I would have liked to see more advanced problems and challenges towards the end to really push my understanding further.

Visual Aids: Some parts of the course could benefit from more visual explanations, especially when it comes to understanding algorithms like sorting or tree traversals.

Final Thoughts:

Overall, this course is a fantastic resource for anyone new to programming or looking to build a solid foundation in data structures and algorithms. It was easy to follow, well-paced, and provided plenty of opportunities to practice. I highly recommend this course to beginners who are looking to strengthen their understanding of Python and computer science fundamentals.