DSA Concepts in Python

A fast-track course through every data structure and algorithm you need for coding interviews — implemented in Python. Each lesson teaches the concept at overview depth, shows the Pythonic implementation, and links to practice problems.

Who This Is For

• Developers preparing for coding interviews who want to use Python
• Go/Java/C++ programmers who need a Python refresher for interviews
• Anyone who knows the theory but needs to see it in Python's standard library

What You'll Learn

• Complexity: Big-O reasoning and how to analyze your code
• Core structures: lists, dicts, sets, deques, heaps, tries
• Patterns: two pointers, sliding window, prefix sum, monotonic stack
• Algorithms: sorting, binary search, BFS/DFS, Dijkstra, topological sort
• Problem-solving: backtracking, dynamic programming, greedy strategies
• Python-specific: collections, heapq, bisect, @cache, slicing tricks

Course Structure

17 lessons + glossary. Each lesson includes:

• Core concept explanation
• Python implementation with standard library usage
• Complexity analysis
• LeetCode practice problems
• Runnable examples

Python for Interviews — Why?

Python lets you express algorithms in fewer lines with less boilerplate. Built-in structures like defaultdict, Counter, heapq, and deque save you from implementing common patterns from scratch. In a 45-minute interview, that speed matters.

Prerequisites

• Basic Python syntax (variables, functions, loops, classes)
• Willingness to practice — reading alone won't prepare you for interviews