18小时181课Python DSA动画课程，用可视化讲解链表、树、图与递归、双指针、滑窗、Dijkstra等算法，结合Big O与LeetCode真题，助你零基础攻克技术面试。
原始标题：Python Data Structures & Algorithms: Visual DSA + LeetCode
该课程是一门长达 18小时10分钟（共181课时）、以动画视觉驱动为核心的 Python 数据结构与算法高级通关指南，旨在通过海量自制动画、逐行代码实现与 LeetCode 真题演练，帮助各阶段开发者彻底告别死记硬背。课程全面重构了从底层数据结构（链表、哈希表、树、图等）到核心算法（递归、双指针、滑动窗口、狄克斯特拉等）的内部运作机制，配合系统的 Big O 复杂度量化分析与自动化随堂测试，让学员在零 DSA 基础的条件下（仅需微积分/基础 Python 认知），真正具备在技术面试中自主选型、优化性能、 handle 边界条件并清晰阐述算法逻辑的工业级解题与跳槽竞争力。
Published 10/2026
Created by Javid Bodurov
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 181 Lectures ( 18h 10m ) | Size: 8 GB
Master Python DSA with visual animations, hands-on coding, Big O, algorithms, and LeetCode interview problems.
What you’ll learn
⚡ Understand data structures and algorithms through clear visualizations, animations, Python examples, and step-by-step explanations.
⚡ Implement arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs from scratch using Python.
⚡ Analyze time and space complexity using Big O and understand O(1), O(log n), O(n), O(n log n), O(n²), and exponential complexity.
⚡ Master recursion, searching, sorting, BFS, DFS, binary search, tree traversal, Dijkstra’s algorithm, and other essential algorithms.
⚡ Solve LeetCode problems using patterns such as two pointers, sliding windows, fast and slow pointers, prefix sums, intervals, and greedy algorithms.
⚡ Prepare for coding interviews by learning how to choose the right data structure, explain complexity, handle edge cases, and solve problems efficiently.
Requirements
❗ Basic Python knowledge is helpful, but no prior knowledge of data structures or algorithms is required.
❗ A computer with Python installed is recommended so you can follow along with the coding examples and practice problems.
Description
Master Data Structures & Algorithms in Python — Visually
Stop memorizing algorithms. Start understanding how they actually work.
Welcome toPython Data Structures & Algorithms: Visual DSA + LeetCode, a comprehensive, animation-driven course designed to help you understand data structures, master algorithmic thinking, and develop the problem-solving skills needed for coding interviews.
AtVertexClass, we believe complex programming concepts become easier when you can actually see what’s happening.
Instead of relying only on slides or code explanations, this course combinescustom-built animations, step-by-step Python implementations, practical examples, coding exercises, quizzes, and LeetCode challenges to help you build a deeper understanding of each concept.
What You’ll Learn
Algorithm Analysis and Big O
Understand time and space complexity, analyze algorithm efficiency, and compare different approaches using Big O notation.
Core Data Structures
Explore arrays, Python lists, linked lists, stacks, queues, hash tables, dictionaries, sets, trees, heaps, and graphs.
Learn how each structure works internally, when to use it, and how its operations affect performance.
Searching and Sorting Algorithms
Understand common searching and sorting techniques, their implementations, and their time and space complexity.
Recursion and Problem-Solving Patterns
Build confidence with recursion and important algorithmic techniques such as two pointers, sliding windows, and other common coding interview patterns.
LeetCode and Coding Interviews
Apply your knowledge to practical LeetCode problems. Learn to identify patterns, develop solutions, optimize performance, and explain your reasoning clearly.
What Makes This Course Different?
✨Visual-first learning: Watch data structures and algorithms come to life through custom animations.
✨Python implementations: Understand the actual code behind each concept.
✨Step-by-step explanations: Learn why algorithms work, not just how to write them.
✨Complexity analysis: Understand the performance implications of your solutions.
✨Hands-on coding exercises: Practice implementing data structures and algorithms yourself.
✨Quizzes and review lessons: Reinforce important concepts and test your understanding.
✨LeetCode practice: Develop practical problem-solving skills for technical interviews.
✨Structured learning path: Progress from foundational concepts to more challenging problems.
Who Is This Course For?
This course is designed for
✨ Python developers who want to strengthen their understanding of data structures and algorithms.
✨ Computer science students preparing for exams and technical interviews.
✨ Self-taught programmers who want a structured DSA learning path.
✨ Software engineering candidates preparing for coding interviews.
✨ Developers who prefer visual explanations over memorizing code.
What You’ll Be Able to Do
By the end of this course, you’ll be able to
✨ Explain how fundamental data structures work internally.
✨ Implement common data structures and algorithms in Python.
✨ Analyze time and space complexity using Big O notation.
✨ Recognize common algorithmic patterns.
✨ Approach LeetCode problems more systematically.
✨ Compare different solutions and identify opportunities for optimization.
✨ Explain your algorithmic reasoning during technical interviews.
Learn. Build. Solve.
Every concept begins with understanding, continues with implementation, and ends with practical application.
Join VertexClass and build a stronger foundation in Python, Data Structures & Algorithms, and coding interview problem-solving.
VertexClass — Learn. Build. Solve.
Who this course is for
⭐ Python developers who want to build a strong foundation in data structures and algorithms.
⭐ Beginners and computer science students who want to learn DSA through visual, step-by-step explanations instead of memorization.
⭐ Developers preparing for coding interviews, technical assessments, and LeetCode-style algorithm problems.
⭐ Self-taught programmers who want to strengthen their problem-solving skills, algorithmic thinking, and ability to write efficient Python code.
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