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.
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.
