dominick-blue/DSAlgosPractice-Python

This repo serves as a place to host my data structures and algorithm practice.

Data Structures and Algorithms

This repo is meant to capture my focused practice on data structures and algorithms.

Below you will see a list that you can easily follow or adapt to your learning path.

Please note - Some of the resources listed here are not free. 💸 💶

Additionally, this list is not exhaustive. It is meant to help start your learning journey. 🚗 📚

Techniques Used

1. Pomodoro Technique 🍅
   • "Pomodoro Technique, the Productivity Hack" - Article
2. Feynman Technique
   • "Learning From the Feynman Technique" - Article📄
3. Deep Work
   • "How to do deep work effectively" - Article📄
   • "Deep Work" by Cal Newport📚

Approach to Mastery

• First iteration of below is theoretical mastery. 📈
• Second iteration will be implementation mastery. 👨‍💻 👩‍💻
• Third iteration will be interview problem solving. 👨‍🏫

Beginner 🧑‍🎓

• BigO Notation (Revisit After Each Section)

  • Does Wife Understand?

• Linear Search

  • Does Wife Understand?

• Binary Search

  • Does Wife Understand?

• Arrays

  • Does Wife Understand?

• Strings

  • Does Wife Understand?

• Linked Lists

  • Does Wife Understand?

• Stacks

  • Does Wife Understand?

• Queues

  • Does Wife Understand?

• Merge Sort

  • Does Wife Understand?

• Quick Sort

  • Does Wife Understand?

Intermediate 👨‍💻 👩‍💻

• Trees
• Heaps
• Tries
• Sorting
• Recursion
• Hash Tables
• Binary Search Trees

Advanced 💥

• Graphs
• Prims Algorithm
• Kruskal's Algorithm
• Dijkstra's Shortest Path Algorithm
• Greedy Algorithms
• Backtracking
• Dynamic Programming

Resources 💼

1. Roadmap.sh - Map of Computer Science
2. Roadmap.sh - Backend Engineering
3. Big-O Cheat Sheet
4. Freecodecamp.org - Big O Notation
5. Analysis of Algorithms | Big-O analysis
6. String Interview Questions
7. Linked List Interview Questions
8. Stack Interview Questions
9. Algorithm Implementation Examples
10. HackerRank
11. AlgoExpert