Coding Interview 101

Welcome to the Coding Interview 101 series! This comprehensive guide will take you from interview preparation basics to confidently solving complex coding problems in technical interviews.

Series Overview

This series is based on my personal experience preparing for and conducting technical interviews at various tech companies. Each part builds upon the previous one, providing practical strategies and real problem-solving techniques.

What You'll Learn

• Part 1: Introduction and Preparation Strategy

  • Understanding technical interviews

  • My preparation journey

  • Study plan and resources

• Part 2: Problem-Solving Framework and Patterns

  • Systematic approach to solving problems

  • Common coding patterns

  • Communication strategies

• Part 3: Data Structures Fundamentals

  • Arrays, strings, and hash tables

  • Real interview problems

  • Python implementation patterns

• Part 4: Advanced Data Structures

  • Trees, graphs, and heaps

  • Complex problem-solving

  • Optimization techniques

• Part 5: Dynamic Programming and Interview Success

  • DP patterns and strategies

  • Final preparation tips

  • Interview day best practices

Prerequisites

• Basic Python knowledge

• Understanding of basic data structures

• Willingness to practice consistently

Technology Stack

Throughout this series, we'll use:

• Python 3.12 as our programming language

• LeetCode/HackerRank for practice problems

• Time/Space Complexity Analysis for optimization

My Journey

I've been on both sides of the interview table—preparing for positions at tech companies and interviewing candidates. This series distills what actually works from both perspectives.

Let's begin your coding interview preparation journey!