Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Python DSA: LEETCODE Exercises — Linked List, Stack & Queues
New
100 students

Python DSA: LEETCODE Exercises — Linked List, Stack & Queues

Python DSA: LEETCODE Exercises — Linked List (Solution Code with Detailed Explanations) | Coding Practice Exercises
Last updated 7/2026
English

What you'll learn

  • Solve frequently asked LeetCode questions focused on Linked Lists, Stacks, and Queues using efficient Python code.
  • Implement singly and doubly linked lists from scratch to fully understand pointer manipulation.
  • Apply the two-pointer approach (fast and slow pointers) to accurately detect cycles in a linked list.
  • Implement structural manipulations such as reversing, merging, and splitting linked lists efficiently.
  • Master LIFO (Last-In, First-Out) operations to solve nested validation problems like the Valid Parentheses challenge.
  • Construct and utilize monotonic stacks to solve complex "next greater element" interview questions.
  • Master FIFO (First-In, First-Out) operations to manage sequential data processing and buffer queues.
  • Build circular queues and custom double-ended queues (deques) using core Python structures.
  • Implement advanced data structures by successfully designing a queue using stacks and vice versa.
  • Transition from slow, brute-force algorithms to highly optimized, production-grade Python solutions.
  • Compute and explain the precise Time and Space complexity ($O(n)$, $O(1)$) for every problem solved.
  • Identify underlying data structure patterns instantly when presented with brand new coding interview questions.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

10 sections10 lectures44m total length
  • Introduction Linked List Basics5:14
  • Insert Node at Beginning of Linked List
  • Insert Node at End of Linked List
  • Delete a Node from Linked List
  • Find Length of Linked List
  • Search an Element in Linked List
  • Reverse a Linked List
  • Find Middle of Linked List
  • Detect Loop in Linked List
  • Find Starting Point of Loop in Linked List
  • Remove Nth Node From End of List

Requirements

  • Basic understanding of Python programming concepts, including variables, loops, conditional statements, and functions.
  • A computer (Windows, Mac, or Linux) with an internet connection and access to a free LeetCode account for practicing coding exercises.

Description

This course contains the use of artificial intelligence.

Master core technical interviews by conquering the absolute essentials of DSA.

This course contains the use of artificial intelligence. Python DSA: LEETCODE Exercises — Linked List, Stack & Queues is a hyper-focused, practice-driven course designed to help you master the three foundational linear data structures that tech interviewers test most.

Whether you are a beginner looking to build a strong foundation, a software developer preparing for product-based tech giants, or a student gearing up for placement exams, this course provides deep, hands-on practice. You will tackle handpicked, frequently asked LeetCode problems, complete with step-by-step logic breakdowns, optimized Python implementations, and thorough complexity analysis.

Instead of getting bogged down in endless theory, you will learn by writing real code. Every single exercise is designed to teach you how to recognize data structure patterns, optimize your approach, and articulate your thought process just like you would in a real technical assessment.

What You'll Learn

  • Master 3 Critical Data Structures: Gain absolute clarity on how Linked Lists, Stacks, and Queues work under the hood.

  • Crush LeetCode Patterns: Learn how to solve popular interview patterns like fast & slow pointers, reversing a list, and monotonic stacks.

  • Write Optimized Python Code: Transition from brute-force tactics to clean, elegant, and efficient Python solutions.

  • Analyze Complexity Confidently: Learn how to precisely calculate and explain Time and Space complexity ($O(n)$, $O(1)$, etc.) for every problem.

  • Ace Technical Rounds: Build the muscle memory needed to pass online coding assessments (OA) and live whiteboard interviews.

Topics & LeetCode Patterns Covered

  • Linked Lists: Singly linked lists, doubly linked lists, dummy node techniques, reversing a list, cycle detection (Floyd's Tortoise and Hare), merging and sorting lists.

  • Stacks: LIFO (Last-In, First-Out) operations, valid parentheses validation, expression evaluation, and mastering the highly tested Monotonic Stack pattern.

  • Queues: FIFO (First-In, First-Out) operations, queue implementation using lists/deques, circular queues, and designing queues using stacks (and vice versa).

  • Advanced Interview Combinations: Problems where these structures interact, such as sliding window maximums, LRU cache foundations, and breadth-first search (BFS) queue basics.

Course Features

  • Targeted Problem Set: Focused strictly on high-yield LeetCode questions for Linked Lists, Stacks, and Queues.

  • Detailed Python Solutions: Production-grade code examples adhering to Pythonic best practices.

  • Visual & Logical Breakdowns: Conceptual step-by-step walkthroughs before writing a single line of code.

  • Complexity-First Approach: Deep dives into optimizing runtime and memory efficiency.

  • Self-Paced Learning: Structured modular layout that fits perfectly into your interview prep schedule.

Why Take This Course?

Many candidates fail coding interviews not because they don't know any DSA, but because they lack deep mastery of the fundamentals. Linked Lists, Stacks, and Queues form the bedrock of more complex topics like Trees, Graphs, and Dynamic Programming. By isolating and mastering these three structures, you build the core logical framework required to solve higher-level problems.

Stop guessing your way through LeetCode. Get the structured practice, clear explanations, and pattern-recognition skills you need to walk into your next interview with confidence.

Start solving, build your foundation, and ace your technical interview!

Who this course is for:

  • Beginners in Data Structures and Algorithms who want a structured, hands-on introduction to linear data structures.
  • College students and fresh graduates preparing for upcoming campus placements and technical screening exams.
  • Software developers looking to transition from service-based roles to product-based technology companies.
  • Self-taught programmers aiming to bridge the gap between basic coding syntax and advanced problem-solving logic.
  • Job seekers actively preparing for technical coding interviews, whiteboard rounds, and online assessments.
  • Python developers who want to strengthen their core foundational knowledge of memory management and pointers.
  • Professionals seeking a highly focused refresher course specifically dedicated to Linked Lists, Stacks, and Queues.
  • Anyone looking to build consistency and confidence in solving medium-level LeetCode coding challenges.
  • Competitive programming aspirants wanting to master the monotonic stack pattern and fundamental optimization techniques.