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Scott Barrett

Welcome to Data Structures & Algorithms in Python This course makes learning to code fun and makes hard concepts easy to understand. How did I do this?  By using animations. Animating the Data Structures & Algorithms makes everything more visually engaging and allows students to learn more material - in less time - with higher retention (a pretty good combination).I will use these visuals to guide you, step-by-step, through the entire course.The course also includes dozens-and-dozens of Coding Exercises. So you can immediately put everything into practice as soon as you learn it (a very important step).All of this will help you to feel more confident and prepared when you walk into a coding interview.I have made several Free Sample Videos available for the course so you can see the difference the animations make.Also, I am very active on the Q&A, so I will be with you every_step_of _the_way.

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Welcome to Data Structures & Algorithms in Python This course makes learning to code fun and makes hard concepts easy to understand. How did I do this?  By using animations. Animating the Data Structures & Algorithms makes everything more visually engaging and allows students to learn more material - in less time - with higher retention (a pretty good combination).I will use these visuals to guide you, step-by-step, through the entire course.The course also includes dozens-and-dozens of Coding Exercises. So you can immediately put everything into practice as soon as you learn it (a very important step).All of this will help you to feel more confident and prepared when you walk into a coding interview.I have made several Free Sample Videos available for the course so you can see the difference the animations make.Also, I am very active on the Q&A, so I will be with you every_step_of _the_way.

What you will get in this course…

Over 100 hand-crafted animated HD videos to illustrate the Data Structures & Algorithms.

Here are the topics we will cover:

Technical

  • Big O notation

Data Structures

  • Lists

  • Linked Lists

  • Doubly Linked Lists

  • Stacks & Queues

  • Binary Trees

  • Hash Tables

  • Heaps

  • Graphs

Algorithms

Sorting

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Merge Sort

  • Quick Sort

Searching

  • Breadth First Search

  • Depth First Search

Don't just take my word for it though, check out what existing students have to say about my courses:

  • 5-Star Review:"In order to describe this course accurately, we need the definition of the word Beautiful. beau·ti·ful: adjective 1.- pleasing the senses or mind aesthetically. 2.- of a very high standard; excellent."  - Josue Hernandez Amezcua

  • 5-Star Review:"The best course on DSA on Udemy" - Enlai Li

  • 5-Star Review:"One of the best courses on DSA. The animations do make a huge impact. All the points are explained in detail. The only problem is that I can't give it more than a 5-star rating." - Nikita Sarkar

  • 5-Star Review:"Amazing Course. My words cannot describe how much animations helped me to understand the concepts. 100% Recommended." - Simarjeet Singh

  • 5-Star Review:Being a visual learner this is BY FAR the BEST course ever. The way the instructor presents this topic makes it so easy to understand." - Eduardo SN

  • 5-Star Review:"The animations were really helpful for an easy understanding, but the best thing about this course for me is that it will not waste your time. It is perfectly optimized, covers the important topics that I wanted, and at the same time perfectly clear. Thank you so much." - Fatemeh Moghaddam

  • 5-Star Review:"This course is very well done. ... the animations in each video take the explanation and understanding of the material to a new level." - Luis Felipe Posada

  • 5-Star Review:"This course has seriously been amazing. The animations have worked wonders for my understanding and I have made significant progress from the beginning of the course until now." - Dakota Fabro

  • 5-Star Review:"I can follow as a beginner, amazing." - Sabrina Fung

  • 5-Star Review:"This is the best course I have ever seen" - Luong Viet Tri

REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days. So it's a complete no-brainer, sign up today with ZERO risk and So what are you waiting for? Click the "Buy now" button and join the best Python Data Structures & Algorithms course on Udemy.I look forward to seeing you in the course. Now let's get started. :-)

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What's inside

Learning objectives

  • <> 100+ coding exercises with detailed explanations
  • Enhance your learning with animated examples of dsa
  • Gain expertise in data structures and algorithms
  • Ace technical interviews with confidence
  • Understand time and space complexity of data structures and algorithms
  • Elevate your development skills to the next level
  • Boost your problem-solving ability

Syllabus

<> Big O: O(n)
Big O: Drop Constants
Big O: O(n^2)
--> Start Here
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How to get the most out of this course

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops foundational skills for Python coders
Teaches problem-solving skills
Teaches DSA from a Pythonic lens
Covers a comprehensive set of DSA topics
Uses animations to illustrate concepts, which can be helpful for visual learners
Includes lots of coding exercises for practice

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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Animated python dsa for interview prep

According to students, this course is a game-changer for understanding data structures and algorithms, particularly for visual learners. The over 100 animated HD videos are consistently highlighted as a core strength, making complex topics like linked lists and Big O notation crystal clear. Many learners report significantly increased confidence for technical interviews due to the course's integration of LeetCode exercises and practical application. While broadly praised for its clear explanations and engaging instruction, some with prior DSA knowledge found the pace too basic or the depth insufficient for advanced mastery, suggesting it's ideal for those seeking a strong foundational understanding for interview preparation.
Optimized to cover important topics efficiently.
"It is perfectly optimized, covers the important topics that I wanted, and at the same time perfectly clear."
"The best thing about this course for me is that it will not waste your time."
Instructor provides clear, engaging explanations.
"I appreciate the instructor's clear explanations and the ample coding practice."
"The instructor is very engaging and explains things in a way that sticks."
"The explanations are clear and the exercises are relevant."
Provides solid practice for technical interviews.
"The LeetCode exercises were tough but incredibly helpful for interview prep. Highly recommend!"
"My confidence for technical interviews has definitely increased."
"The LeetCode questions integrated into the lessons are perfect for immediate application. A must-have for anyone aiming for coding interviews."
Excels with animated explanations for complex concepts.
"The animations are a game-changer for understanding complex DSA concepts. I used to struggle with linked lists, but now I visualize them perfectly."
"As a visual learner, this course was a dream come true. The animations simplified concepts that I previously found intimidating."
"The animations truly set this course apart. I learned more in a few hours than weeks of reading textbooks."
Ideal for beginners, may lack depth for advanced learners.
"It's decent for a beginner, but if you have some prior knowledge of DSA, you might find parts too basic or slow-paced."
"I found this course somewhat underwhelming. While the animations are nice, the depth felt lacking for someone trying to truly master DSA."
"For some topics, I felt the pace could be quicker, or more complex examples could be included."

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 Data Structures & Algorithms + LEETCODE Exercises with these activities:
Connect with experienced developers
Seek guidance and support from experienced developers in the field.
Browse courses on Mentorship
Show steps
  • Identify potential mentors
  • Reach out and introduce yourself
  • Build a relationship and seek advice
Read "Introduction to Algorithms"
Gain a comprehensive understanding of algorithms and data structures from a classic textbook.
Show steps
  • Identify key concepts
  • Read and understand chapters
  • Solve practice exercises
Watch tutorials on Big O notation
Strengthen your understanding of Big O notation through guided video tutorials.
Browse courses on Big O Notation
Show steps
  • Select a tutorial series
  • Watch videos and take notes
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice DSA exercises
Reinforce your understanding of data structures and algorithms by solving practice exercises.
Browse courses on Data Structures
Show steps
  • Identify areas for improvement
  • Solve practice problems
  • Review solutions and identify patterns
Participate in online coding challenges
Put your skills to the test and improve your problem-solving abilities through online coding challenges.
Browse courses on Coding Challenges
Show steps
  • Choose a coding challenge platform
  • Practice solving problems
  • Review solutions and analyze approaches
Contribute to open-source DSA projects
Gain practical experience and showcase your skills by contributing to open-source DSA projects.
Show steps
  • Identify suitable projects
  • Contribute code or documentation
  • Engage with the community and seek feedback

Career center

Learners who complete Python Data Structures & Algorithms + LEETCODE Exercises will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Data Structures & Algorithms + LEETCODE Exercises.
This classic textbook provides a comprehensive overview of algorithms and data structures, including a thorough treatment of Big O notation. It is an excellent resource for students and programmers who want to understand the fundamentals of algorithm analysis and design.
Provides a comprehensive overview of algorithm analysis, including a thorough treatment of Big O notation in German. It is an excellent resource for German-speaking students and programmers who want to understand the fundamentals of algorithm analysis and design.
Provides a comprehensive overview of common coding interview questions and solutions, covering topics such as data structures, algorithms, and problem-solving strategies. It is highly relevant to LeetCode, as it can help candidates prepare for and excel in coding interviews.
Widely considered the "bible" of algorithms, this book provides a comprehensive and rigorous treatment of algorithm design and analysis, including a thorough coverage of time complexity. It is an essential reference for both students and professionals, often used as a textbook in university courses. While dense, its depth is invaluable for solidifying understanding.
Comprehensive graduate-level textbook on computational complexity theory. It delves deeply into space complexity classes, hierarchy theorems, and advanced topics. It is an essential reference for graduate students and researchers in the field.
Offers a broad survey of the most important algorithms and data structures, with a strong emphasis on their practical applications and performance analysis, including time complexity. It is well-regarded as a textbook and includes an accompanying website with resources and code implementations in Java. It provides a solid foundation for understanding how time complexity impacts real-world scenarios.
Gathers hundreds of battle-tested recipes covering network programming, memory management, data structures, and functional decorators for veteran application developers.
Delivers the canonical blueprint for numeric analysis from the creator of pandas, thoroughly detailing NumPy structures, data cleaning, and high-speed transformations.
Fundamental text in theoretical computer science, covering automata theory, computability, and complexity theory. It includes dedicated sections on space complexity, providing a rigorous theoretical grounding. It is suitable for advanced undergraduate and graduate students.
Introduces clean architecture, domain-driven design, and event-driven microservices to Python developers, demonstrating repository patterns and dependency inversion.
Offers a rigorous yet accessible approach to algorithm design, with a strong focus on algorithmic thinking and problem-solving. It includes thorough analyses of the time complexity of the presented algorithms and is often used in undergraduate and graduate algorithms courses. It's valuable for understanding the design principles behind efficient algorithms.
Demystifies programming for practical utility, guiding beginners through real-world automation projects including web scraping, spreadsheet generation, and file audits.
This classic book by Donald Knuth provides a comprehensive treatment of dynamic programming. While not specifically focused on LeetCode problems, it valuable resource for understanding the fundamental concepts and techniques of dynamic programming, which common technique used in solving LeetCode problems.
Comprehensive treatment of algorithmics, from the foundations to advanced topics such as randomized algorithms and approximation algorithms. It is written in a clear and concise style, and it includes many examples and exercises.
Focuses on static typing, structural subtyping, and defensive design techniques, demonstrating how modern type annotations prevent regressions in enterprise codebases.
Focuses on the practical aspects of algorithm design and analysis, offering a wealth of real-world examples and war stories. It includes a catalog of algorithms and their properties, making it a useful reference for understanding the time complexity of various algorithms in practice. While it may lack some of the mathematical rigor of other texts, its practical approach is highly beneficial.
Unpacks professional testing methodologies using pytest, explaining fixture management, parameterized tests, coverage tracking, and automated CI test execution.
Focuses on system design interview questions, which are common in technical interviews for more experienced roles. It provides frameworks and examples for tackling scalable system design problems. It is highly relevant for mid-career and senior-level software engineers.
A concise and well-written book that covers fundamental algorithms and their analysis. It provides clear explanations of time complexity and its significance, making it a good resource for gaining a solid understanding of the topic. Its more الحديث (modern) approach makes it a valuable addition to a library on algorithms.
This textbook is suitable for advanced data structures or introductory graduate-level algorithm analysis courses. It bridges the gap between foundational data structures and more advanced analysis techniques. The book provides a rigorous and in-depth analysis of algorithms and their implementation in C++.
Is specifically tailored for those preparing for case interviews, commonly used in consulting. It provides frameworks and strategies for approaching and solving business cases, offering a deep dive into a specific type of interview format. It's essential reading for anyone targeting consulting roles and is highly relevant for undergraduate, graduate, and professional levels pursuing this path.
Investigates advanced software craft, detailing packaging distribution, bytecode internals, scaling architectures, and maintainability across large distributed systems.
Bridges volumetric point cloud analysis with Python, teaching LiDAR processing, spatial meshing, and 3D machine vision using modern scientific computing toolchains.
Provides a practical guide to technical interviews, covering data structures, algorithms, and problem-solving techniques. It offers a good balance of theoretical concepts and practical examples, making it a valuable resource for software engineering candidates. It's suitable for undergraduate and graduate students, as well as early-career professionals.
Presents a welcoming, foundational ramp into computational logic and programming, establishing syntax literacy, object modeling, and error handling for total beginners.
Provides 50 focused exercise routines and guided breakdowns designed to build instinctive muscle memory across collections, functional pipelines, algorithms, and file I/O.
This book, part of Sedgewick's algorithms series, focuses on fundamental algorithms and data structures with implementations in C++. It covers the analysis of these algorithms, including their time complexity, and provides concrete examples for understanding performance in a popular programming language.
Focuses on the STAR method, a widely used technique for answering behavioral interview questions effectively. It provides a structured approach to crafting compelling responses by detailing the Situation, Task, Action, and Result. This practical guide for anyone looking to improve their performance in behavioral interviews.
An excellent starting point for beginners, this book uses illustrations and clear explanations to introduce fundamental algorithms and concepts, including time complexity (Big O notation). It's less mathematically intensive than other books and provides an intuitive understanding of how algorithms' running times are compared. It's a great prerequisite for more rigorous texts.
Tackles the full lifecycle of shipping models into production, covering feature store development, container packaging, drift detection, and continuous retraining.
Explores the boundaries of computation and the complexity of problems from a broad perspective. It covers space complexity within the context of computational limits and the Church-Turing thesis. It's a good resource for gaining a wider theoretical context.
Continuing the accessible approach of the series, this book focuses on graph algorithms and data structures, with analysis of their time complexity. It's valuable for understanding the performance of algorithms on interconnected data and builds upon the foundational concepts introduced in Part 1.
A classic in the interview preparation genre, this book provides guidance on answering challenging interview questions. It helps candidates anticipate difficult inquiries and formulate thoughtful responses. It's a valuable resource for building confidence in handling unexpected or tricky questions.
Presents a collection of programming exercises designed to improve coding style and best practices. It emphasizes code readability, maintainability, and efficiency. It valuable resource for refining coding skills and developing a professional coding style.
Introduces data structures and algorithms using JavaScript. It covers fundamental concepts such as arrays, linked lists, and trees, as well as more advanced topics such as graphs and dynamic programming. While not specifically designed for LeetCode problems, it provides a good foundation for solving algorithmic challenges in JavaScript.
This textbook offers a rigorous introduction to data structures and algorithms with implementations in C++. It covers a wide range of topics and is suitable for undergraduate computer science programs.
This collection of essays explores various aspects of programming, from algorithm design to code optimization. It offers insights and practical advice from one of the pioneers in the field. While not specifically focused on coding exercises, it fosters a deeper understanding of programming concepts and encourages creative problem-solving.
Connects systems engineering with offensive network reconnaissance, detailing raw packet manipulation, Windows process injection, and reverse shell programming.
Provides a practical and easy-to-understand approach to data structures and algorithms, using real-world examples. It's excellent for beginners looking to build a strong foundation without getting bogged down in overly theoretical details.
This guide provides a wide range of common interview questions and suggested answers. It practical resource for preparing for general interviews and understanding what hiring managers are looking for in responses. It can be helpful for building confidence in answering typical interview questions.

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