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AT A GLANCE

Problems	Topics	Languages	Difficulty	Status
840+	42	Python · C++ · JS	Easy to Hard	100% Done

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WHAT'S INSIDE EVERY FILE

PROBLEM FILES Descriptive Title Detailed Problem Statement Input and Output Formats Constraints and Limits Example Walkthroughs Edge Cases

SOLUTION FILES High-Level Approach Step-by-Step Logic Big O Analysis — Time and Space Optimized Python Code Inline Code Comments Beginner-Friendly Breakdown

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REPOSITORY STRUCTURE

dsa-solutions/
┃
┣━━ 01_Array_and_List/
┃   ┣━━ Problems/
┃   ┃   ┣━━ problem01.md
┃   ┃   ┣━━ problem02.md
┃   ┃   ┗━━ ... problem20.md
┃   ┗━━ Solutions/
┃       ┣━━ solution01.md
┃       ┣━━ solution02.md
┃       ┗━━ ... solution20.md
┃
┣━━ 02_Linked_List/
┣━━ 03_Stack_and_Queues/
┣━━ ... (42 topics total)
┃
┗━━ README.md

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PROGRESS OVERVIEW

TOTAL   ████████████████████████████████████████   840 / 840   [100%]

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TOPICS COVERED

— Core Data Structures and Algorithms —

#	Topic	Progress	Status
01	Array and List	████████████ 20/20	done
02	Linked List	████████████ 20/20	done
03	Stack and Queues	████████████ 20/20	done
04	Trees	████████████ 20/20	done
05	Heaps	████████████ 20/20	done
06	Sorting and Searching	████████████ 20/20	done
07	Matrix	████████████ 20/20	done
08	String	████████████ 20/20	done
09	Hash	████████████ 20/20	done
10	Sliding Window	████████████ 20/20	done
11	Two Pointer	████████████ 20/20	done
12	Recursion	████████████ 20/20	done
13	Backtracking	████████████ 20/20	done
14	Dynamic Programming	████████████ 20/20	done
15	Graphs	████████████ 20/20	done
16	Greedy Algorithm	████████████ 20/20	done
17	Bit Manipulation	████████████ 20/20	done
18	Divide and Conquer	████████████ 20/20	done
19	Mathematical Problems	████████████ 20/20	done
20	Geometrical Problems	████████████ 20/20	done

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— Advanced Topics —

#	Topic	Progress	Status
21	Advanced Data Structures	████████████ 20/20	done
22	Advanced String	████████████ 20/20	done
23	Advanced Mathematics	████████████ 20/20	done
24	Advanced Problems	████████████ 20/20	done
25	Competitive Programming	████████████ 20/20	done

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— Programming and Software Engineering —

#	Topic	Progress	Status
26	OOP	████████████ 20/20	done
27	Advanced Python Concepts	████████████ 20/20	done
28	Functional Programming	████████████ 20/20	done
29	Basics	████████████ 20/20	done
30	Concurrency and Multithreading	████████████ 20/20	done

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— Core Computer Science —

#	Topic	Progress	Status
31	System Design	████████████ 20/20	done
32	Databases	████████████ 20/20	done
33	Networking	████████████ 20/20	done
34	Security	████████████ 20/20	done
35	Testing and Debugging	████████████ 20/20	done

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— Data and Development —

#	Topic	Progress	Status
36	Data Science	████████████ 20/20	done
37	Machine Learning	████████████ 20/20	done
38	Web Development	████████████ 20/20	done
39	Game Development	████████████ 20/20	done

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— Real-World and Miscellaneous —

#	Topic	Progress	Status
40	Real World Applications	████████████ 20/20	done
41	Real World Problems	████████████ 20/20	done
42	Miscellaneous	████████████ 20/20	done

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TECH STACK

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ACHIEVEMENTS

┌──────────────────────────────────────────────────────────────────┐
│                                                                   │
│   840+ problems solved across 42 diverse topics                  │
│   Complete DSA + Core CS + Dev domains in one repository         │
│   Optimized solutions with Big O analysis for every problem      │
│   Real-world scenarios mapped to core coding patterns            │
│   Production-style, well-commented Python throughout             │
│   Interview-ready coverage from Easy to Hard difficulty          │
│                                                                   │
└──────────────────────────────────────────────────────────────────┘

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GETTING STARTED

Clone the repository

git clone https://github.com/codexshami/dsa-solutions.git

Navigate into the project

cd dsa-solutions

Browse any topic folder

cd 01_Array_and_List/Problems

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HOW TO USE THIS REPO

Step 1 — Pick a topic

topic = "Dynamic Programming"

Step 2 — Read the problem statement

problem = open(f"{topic}/Problems/problem01.md").read()

Step 3 — Attempt the solution yourself first

Step 4 — Compare with the provided solution

solution = open(f"{topic}/Solutions/solution01.md").read()

Step 5 — Study the Big O breakdown and approach

Step 6 — Move to the next problem

print("Repeat until you are unstoppable.")

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CONNECT

   

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