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Data Structures for Coding Interviews in Python

Explore proven strategies developed by FAANG engineers to ace coding interviews with a structured approach to data structures in Python. Prep faster with real-world questions.

4.7

228 Lessons

30h

Updated 3 weeks ago

Also available in

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Python

Also available in

Python

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LEARNING OBJECTIVES

Analyze algorithms using best, average, and worst-case time and space complexity
Compute Big O for loops and nested loops by counting primitive operations
Apply summations and logarithm rules to simplify asymptotic growth rates
Solve array/list interview problems and evaluate time/space tradeoffs of solutions
Implement and manipulate singly and doubly linked lists in Python with core operations
Build stacks and queues in Python and solve classic problems using these structures
Implement graphs, trees, tries, heaps, and hash tables in Python and solve related challenges

Learning Roadmap

228 Lessons24 Quizzes65 Challenges

Introduction to Complexity Measures

Sharpen your skills in evaluating the time and space complexity of algorithms.

Comparing Algorithms

Example: Measuring Time Complexity of For Loop

Example: Measuring Time Complexity of a Nested For Loop

Introduction to Asymptotic Analysis and Big O

Other Common Asymptotic Notations and Why Big O Trumps Them

Useful Formulas

Common Complexity Scenarios

Challenge: Big O of Nested Loop with Addition

Solution: Big O of Nested Loop with Addition

Challenge: Big O of Nested Loop with Subtraction

Solution: Big O of Nested Loop with Subtraction

Challenge: Big O of Nested Loop with Multiplication

Solution: Big O of Nested Loop with Multiplication

Challenge: Nested Loop with Multiplication (Basic)

Solution: Nested Loop with Multiplication (Basic)

Challenge: Nested Loop with Multiplication (Intermediate)

Solution: Nested Loop with Multiplication (Intermediate)

Challenge: Nested Loop with Multiplication (Advanced)

Solution: Nested Loop with Multiplication (Advanced)

Challenge: Nested Loop with Multiplication (Pro)

Solution: Nested Loop with Multiplication (Pro)

Complexity Quiz: Test your understanding of complexity

Introduction to Lists

Unpack the core of lists and arrays in Python, and tackle essential list manipulation challenges.

Lists

Arrays

Lists vs Arrays in Python

Challenge: Remove Even Integers From List

Solution: Remove Even Integers From List

Challenge: Merge Two Sorted Lists

Solution: Merge Two Sorted Lists

Challenge: Find Two Numbers That Add Up to K

Solution: Find Two Numbers That Add Up to K

Challenge: Product of Array Except Self

Solution: Product of Array Except Self

Challenge: Find Minimum Value in List

Solution: Find Minimum Value in List

Challenge: First Non-Repeating Integer in a List

Solution: First Non-Repeating Integer in a List

Challenge: Find Second Maximum Value in a List

Solution: Find Second Maximum Value in a List

Challenge: Rotate List

Solution: Rotate List

Challenge: Rearrange Positive & Negative Values

Solution: Rearrange Positive & Negative Values

Challenge: Rearrange Sorted List in Max/Min Form

Solution: Rearrange Sorted List in Max/Min Form

Challenge: Maximum Sublist

Solution: Maximum Sublist

Lists Quiz: Test your understanding of Lists

Introduction to Linked Lists

30 Lessons

Examine the fundamentals, operations, and challenges of singly and doubly linked lists.

Introduction to Stacks and Queues

25 Lessons

Grasp the fundamentals of stacks and queues, their implementations, and practical challenges.

Introduction to Graphs

26 Lessons

Dig into graph concepts, representations, algorithms, and their practical applications in coding.

Introduction to Trees

38 Lessons

Focus on trees' structures, properties, and traversal methods, covering binary, AVL, and Red-Black Trees.

Trie

14 Lessons

Build on understanding trie structures, their operations, and solving challenges using them.

Introduction to Heap

12 Lessons

Learn how to use heaps for efficient sorting, priority queues, and element retrieval.

Introduction to Hashing

33 Lessons

Walk through hash table fundamentals, efficient operations, implementation strategies, and algorithmic challenges.

10.

Summary of Data Structures

2 Lessons

Examine linear and non-linear data structures, their complexities, and practical applications.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

Data structures are amongst the most fundamental concepts of Computer Science. The data structure chosen can make or break an entire computer program. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in Python to allow readers to become well equipped. Now with more code solutions, lessons, and illustrations than ever, this is the course for you!

ABOUT THE AUTHOR

Coderust

Coderust helps software developers like you ace your coding interviews. Our interactive interview-prep courses encourage you to get hands-on with the material and practice working through problems.

Learn more about Coderust

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