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.
Overview
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
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Reviews
4.6 rating, based on 100 Class Central reviews
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The course was very knowledgeable and clear and would definitely visit it again to brush up the concepts and have a deeper understanding
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KRISHNADHARSHINI LThe data structures and algorithm in python course was very helpful.My foundation has become stronger and i am confident in my basics than before learning this course.The "Data Structures and Algorithms in Python" course for beginners is a comprehen… -
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…
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Adirala Uday"I just completed the 'Data Structures and Algorithms in Python - Full Course for Beginners' on freeCodeCamp, and I'm blown away by the quality of the content! As a beginner, I found the explanations clear, concise, and easy to follow. The course c… -
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The data structures and algorithm in python course was very helpful.My foundation has become stronger and i am confident in my basics than before learning this course.The "Data Structures and Algorithms in Python" course for beginners is a comprehen…
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Guru RengarajanVery excellent 👍🏻 and helpful for The "Data Structures and Algorithms in Python - Full Course for Beginners" provides a well-rounded introduction to key DSA concepts. The content is comprehensive, covering essential structures like arrays, trees, and… -
Anurag YadavThe Data Structures and Algorithms (DSA) program provided a comprehensive and well-structured approach to mastering core concepts. The content was logically organized, starting with basic structures like arrays, linked lists, and progressing to more advanced topics such as graphs, trees, and dynamic programming. The program’s hands-on coding exercises were invaluable in reinforcing theoretical concepts, allowing me to apply them in real-world scenarios. Additionally, the problem-solving techniques learned improved my ability to approach and break down complex challenges efficiently. Overall, the DSA program greatly enhanced my coding skills and algorithmic thinking, making it an excellent learning experience. -
Dayamullah Shareef
"This course is an excellent introduction to data structures and algorithms in Python, perfect for beginners. The instructor's clear explanations and step-by-step examples make complex concepts easy to grasp. The course covers a wide range of topics, from basic data structures like arrays and linked lists to advanced algorithms like sorting and graph traversal. With plenty of practice exercises and real-world examples, you'll gain hands-on experience and a deep understanding of how to apply these concepts in your own projects. Whether you're new to programming or looking to brush up on your skills, this course is a great resource to help you become proficient in data structures and algorithms in Python." -
Pawar SnehaThis comprehensive course provides a solid foundation in data structures and algorithms using Python. It covers a wide range of topics, from basic data structures like arrays and linked lists to more advanced concepts like trees, graphs, and dynamic programming. The explanations are clear and concise, making it easy to follow along even for beginners. The practical examples and exercises reinforce the concepts, helping apply your knowledge effectively. While the course is comprehensive, it might benefit from more advanced topics and real-world use cases. Overall, it's a valuable resource for anyone looking to learn data structures and algorithms in Python. I really learn alot and it is best experience. -
The course does a great job covering essential data structures like arrays, linked lists, stacks, queues, trees, graphs, and hash tables. It explains each concept clearly with Python code examples, making it easier for beginners to grasp. Algorithms such as sorting and searching are also well-covered, with step-by-step explanations that demystify the logic behind each approach.
The teaching approach is highly engaging, with a hands-on focus that encourages students to write code as they learn. Each topic is broken down into smaller sections, which allows learners to digest information at a manageable pace. The examples and exercises provided after each section are particularly helpful for reinforcing learning. -
648 Ashish KaharThis course on Data Structures and Algorithms in Python is an excellent introduction for beginners. It covers essential topics, including arrays, linked lists, stacks, queues, trees, heaps, and hash tables, alongside key algorithms like searching and sorting. Each module blends theory with practical examples, making complex concepts accessible. The focus on Big O notation helps students understand algorithm efficiency. With hands-on coding exercises, learners gain confidence in implementing data structures and algorithms in real-world scenarios. Overall, it's a comprehensive and engaging resource that equips newcomers with the foundational skills needed for further study in computer science. -
Data Structures and Algorithms in Python - Full Course for Beginners" is an excellent resource for anyone starting their journey in programming. The course covers essential data structures, including arrays, linked lists, stacks, queues, and trees, providing a solid foundation for understanding how data is organized and accessed. Additionally, it introduces key algorithms, such as sorting, searching, and recursion, which are crucial for efficient coding. Concepts are presented clearly, with hands-on examples in Python, making it easy to grasp even complex topics. This course is ideal for beginners, building a strong base for more advanced programming and problem-solving skills in Python.
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V Sreeya GayathriAs a beginner with some programming experience in Java and web development, I found "Data Structures and Algorithms in Python" course incredibly helpful. The content is well-structured and easy to follow, making the transition to Python smooth. The explanations of complex concepts like arrays, linked lists, and sorting algorithms were clear, and the practical coding examples reinforced my understanding. I appreciate how the course emphasizes hands-on practice, which helped me grasp key concepts effectively. However, the course could benefit from more real-world problem-solving examples, but overall, it's an excellent starting point for learning data structures and algorithms in Python.
