Data Structures and Algorithms in Python - Full Course for Beginners

via freeCodeCamp

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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 251 Class Central reviews

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

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.
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!
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.
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.
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
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.
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!
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.
Apeksha Khese

Python courses are very popular because Python is one of the easiest and most powerful programming languages. It is widely used in web development, data science, artificial intelligence, automation, and software development.
⭐ Why Python Courses Are Good
Beginner Friendly
Python has simple and easy-to-understand syntax compared to other languages like Java and C++.
High Demand in Industry
Many companies use Python for development and data analysis.
Wide Applications
Web Development (using frameworks like Django)
Data Science
Machine Learning
Automation
Game Development
Large Community Support
Python has strong community support, which makes learning easier.
Atharv Upadhyay

This Python Data Structures and Algorithms course is an excellent resource for bridging the gap between basic coding and technical interview readiness. The curriculum is well-structured, logically progressing from Big O notation to complex data stru…

This Python Data Structures and Algorithms course is an excellent resource for bridging the gap between basic coding and technical interview readiness. The curriculum is well-structured, logically progressing from Big O notation to complex data structures like trees, heaps, and graphs.

The instructor excels at breaking down abstract concepts using clear animations and visual diagrams, which makes topics like recursion and graph traversal much easier to grasp. The implementation sections leverage Python’s concise syntax effectively, focusing on readability and best practices. I particularly appreciated the inclusion of LeetCode-style exercises at the end of every module, which directly aids in interview preparation.

However, the section on dynamic programming felt slightly rushed and could benefit from more diverse problem sets to truly master the patterns. Additionally, a few more real-world application examples would help contextualize the theory. Overall, this is a highly recommended course for developers looking to master algorithmic thinking.
Aamir Rimas

This course provides a comprehensive introduction to Data Structures and Algorithms using Python. It is well-structured, starting from basic concepts such as arrays, strings, and recursion, and gradually progressing to advanced topics like trees, graphs, dynamic programming, and sorting/searching techniques.
One of the strongest aspects of the course is its focus on problem-solving. Each topic is supported with clear explanations, step-by-step examples, and coding exercises that help reinforce understanding. The use of Python makes complex concepts easier to grasp due to its simple and readable syntax.
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
GUNTUBOINA VENKATA VIKRAM ADITYA CHANDRA

The curriculum at this center is exceptionally well-structured, particularly for core engineering subjects like Data Structures and Digital Logic. The instructors go beyond the textbook, focusing on real-world implementation in C++ and Python, which has significantly improved my problem-solving speed and understanding of complex algorithms. It is a great environment for anyone serious about building a strong technical foundation."
Eyasu Ashenafi

This course is a great introduction for beginners learning data structures and algorithms. It covers essential topics such as arrays, linked lists, stacks, queues, recursion, sorting, and searching in a well-organized and easy-to-follow manner. The instructor demonstrates concepts using clear Python examples, which helps simplify complex ideas. The lessons move at a comfortable pace and explain each topic step by step without requiring prior experience. It’s particularly useful for those preparing for coding interviews or aiming to improve their problem-solving abilities. Overall, it provides a thorough, practical, and beginner-friendly foundation in DSA using Python.
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.
Ítalo Emannuel Beckman

This course is an essential stepping stone for any self-taught developer. It bridges the gap between 'knowing Python' and actually 'thinking like an engineer.' I particularly appreciated the deep dive into Big O notation, which finally made sense after seeing it applied to real-world sorting algorithms
Anonymous

This is a great course for learning about data structures and algorithms in Python. The lectures are very well-explained, beginner-friendly, and well-organized, which makes it easier to understand the concepts. The teacher explains the concepts in a step-by-step manner with examples, which is really helpful in gaining confidence in the subject. The pace of the course is great, and it is perfect for learning DSA or preparing for coding interviews.
Anjali Akrur Mapari

This course is an excellent introduction to data structures and algorithms using Python. The explanations are clear, beginner-friendly, and well paced, making complex concepts easy to understand. The practical examples and step-by-step demonstrations helped reinforce my learning. I especially appreciated how the instructor connected theory with real coding practice. It’s a great resource for anyone starting their programming journey or wanting to strengthen their fundamentals.