What will you learn in Decode the Coding Interview in Python: Real-World Examples Course
Master essential data structures and algorithms commonly tested in coding interviews.
Solve real-world coding problems with optimal Python solutions.
Apply problem-solving strategies like recursion, dynamic programming, and sliding windows.
Improve time and space complexity analysis skills.
Build confidence with mock interview-style questions from top tech companies.
Learn to write clean, testable, and scalable Python code for technical interviews.
Program Overview
Module 1: Introduction & Setup
⏳ 1 hour
Topics: Overview of coding interviews, Python setup, big-O notation, and expectations.
Hands-on: Analyze the efficiency of simple Python snippets using time complexity.
Module 2: Arrays & Strings
⏳ 3 hours
Topics: Sliding window, two pointers, in-place modifications, string manipulation.
Hands-on: Solve interview problems like “Longest Substring Without Repeating Characters.”
Module 3: Linked Lists
⏳ 2.5 hours
Topics: Singly and doubly linked lists, cycle detection, reversal, merging.
Hands-on: Code classic problems like “Reverse a Linked List” and “Detect a Cycle.”
Module 4: Stacks & Queues
⏳ 2.5 hours
Topics: Stack implementation, queue using stacks, monotonic stacks.
Hands-on: Solve questions like “Min Stack” and “Valid Parentheses.”
Module 5: Trees & Graphs
⏳ 4 hours
Topics: Binary trees, depth-first and breadth-first traversal, graph representation.
Hands-on: Implement “Level Order Traversal,” “Lowest Common Ancestor,” and more.
Module 6: Recursion & Backtracking
⏳ 3 hours
Topics: Base case design, recursive calls, permutations, combinations.
Hands-on: Solve problems like “Subsets,” “Permutations,” and “Word Search.”
Module 7: Sorting & Searching
⏳ 2.5 hours
Topics: Merge sort, binary search, quickselect, search in rotated array.
Hands-on: Apply efficient search techniques to real-world problems.
Module 8: Dynamic Programming
⏳ 4 hours
Topics: Memorization, tabulation, state transition, overlapping subproblems.
Hands-on: Tackle classics like “Climbing Stairs,” “Longest Common Subsequence,” and “0/1 Knapsack.”
Module 9: Mock Interview Problems
⏳ 3 hours
Topics: Comprehensive problems across topics from FAANG-style interviews.
Hands-on: Practice end-to-end timed problems to simulate real coding interview settings.
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Job Outlook
Python remains a top language for software engineering, data roles, and full-stack development.
Coding interview mastery is crucial for landing roles at Google, Amazon, Meta, Microsoft, and startups.
Average software engineer salaries range from $100K–$160K+, especially for candidates who perform well in interviews.
Prepares learners for competitive coding platforms and technical assessments.
Explore More Learning Paths
Sharpen your Python skills and coding interview readiness with these carefully selected courses designed to strengthen your programming foundation and prepare you for real-world technical challenges.
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Introduction to Python Course – Build a strong Python foundation and understand core programming concepts essential for coding interviews.
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Python Basics Course – Master fundamental Python concepts, data types, and functions to confidently tackle coding interview questions.
Related Reading
What Is Python Used For – Explore Python’s applications in software development, automation, data science, and real-world problem solving.
Specification: Decode the Coding Interview in Python: Real-World Examples Course
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FAQs
- Basic Python familiarity is recommended but not strictly required.
- The course focuses on hands-on problem-solving for interview-style questions.
- Gradually introduces data structures and algorithms with Python examples.
- Best suited for learners preparing for software engineering interviews.
- Prior exposure to problem-solving or basic programming improves learning efficiency.
- Yes, includes mock interview-style problems and real-world coding scenarios.
- Covers arrays, strings, linked lists, stacks, queues, trees, graphs, recursion, DP, and sorting/searching.
- Emphasizes time and space complexity analysis for efficient solutions.
- Prepares learners for FAANG-style interviews and competitive coding platforms.
- Builds confidence for timed, real interview problem-solving.
- Software Engineer, Backend Developer, Full-Stack Developer, and Data Engineer roles.
- Applicable to startups and large tech companies like Google, Amazon, Meta, Microsoft.
- Enhances problem-solving skills crucial for algorithm-heavy job roles.
- Salaries typically range $100K–$160K+ for candidates who excel in interviews.
- Strengthens competitive programming and coding interview readiness.
- Focused on solving coding interview problems rather than general programming.
- Emphasizes algorithm efficiency, complexity analysis, and clean, testable code.
- Includes mock interview simulations for end-to-end preparation.
- Unlike generic tutorials, teaches problem-solving strategies like sliding windows, recursion, and dynamic programming.
- Provides real-world examples aligned with interview scenarios, not just theoretical explanations.
- Yes, includes timed mock problems similar to online coding assessments.
- Hands-on practice helps improve speed, accuracy, and problem-solving under pressure.
- Provides strategies for breaking down complex problems efficiently.
- Prepares learners for whiteboard or online coding tests in interviews.
- Builds confidence for tackling end-to-end real interview questions independently.
