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Category: Programming

SOLID Design Principles in C++

Posted on February 1, 2022February 16, 2022 By thecodepathshala 3 Comments on SOLID Design Principles in C++
SOLID Design Principles in C++
C++, Design Pattern, Programming, SOLID Principle, System Design

Dependency Inversion Principle

Posted on February 1, 2022February 5, 2022 By thecodepathshala 4 Comments on Dependency Inversion Principle

High level modules should not depend upon low level modules. Both should depend upon abstractions. Dependency inversion talks about the coupling between the different classes or modules. It focuses on the approach where the higher classes are not dependent on the lower classes instead depend upon the abstraction of the lower classes. The main motto…

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C++, Design Pattern, SOLID Principle, System Design

Interface Segregation Principle(ISP)

Posted on February 1, 2022February 5, 2022 By thecodepathshala 6 Comments on Interface Segregation Principle(ISP)

Clients should not be forced to depend upon interfaces that they do not use. Do not force any client to implement an interface which is irrelevant to them You should prefer many client interfaces rather than one general interface and each interface should have a specific responsibility. Interface Segregation Principle is very much related to…

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C++, Design Pattern, SOLID Principle, System Design

Liskov Substitution Principle

Posted on February 1, 2022February 5, 2022 By thecodepathshala 5 Comments on Liskov Substitution Principle

Subtypes must be substitutable for their base types without altering the correctness of the program Methods that use references to base classes must be able to use objects of derived classes without knowing it. If S is a subtype of T, then objects of type T in a program may be replaced with objects of type S without altering any of the…

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C++, C++, Design Pattern, SOLID Principle, System Design

Open-Closed Principle

Posted on February 1, 2022February 2, 2022 By thecodepathshala 6 Comments on Open-Closed Principle

Classes should be open for extension and closed to modification. Modification means changing the code of an existing class, and extension means adding new functionality. We should be able to add new functionality without touching the existing code for the class. This is because whenever we modify the existing code, we are taking the risk…

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C++, Design Pattern, SOLID Principle, System Design

Single Responsibility Principle

Posted on February 1, 2022February 2, 2022 By thecodepathshala 16 Comments on Single Responsibility Principle

A class should have only one reason to change. It means a class should have only one task to perform. This means that if a class is a data container, like a Book class or a Student class, and it has some fields regarding that entity, it should change only when we change the data…

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C++, Design Pattern, SOLID Principle, System Design

unordered_multimap in C++ STL

Posted on December 26, 2021December 26, 2021 By thecodepathshala No Comments on unordered_multimap in C++ STL
C++, Programming, STL

unordered_map in C++ STL

Posted on December 26, 2021December 26, 2021 By thecodepathshala No Comments on unordered_map in C++ STL
C++, Programming, STL

unordered_multiset in C++ STL

Posted on December 26, 2021 By thecodepathshala No Comments on unordered_multiset in C++ STL
C++, Programming, STL

Unordered Sets in C++ STL

Posted on December 26, 2021December 26, 2021 By thecodepathshala No Comments on Unordered Sets in C++ STL
C++, Programming, STL

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LeetCode #1 – Two Sum | Under 3 Minutes #leetcode #viral #codeeveryday #codelife
🚀 LeetCode #1 – Two Sum Explained in Under 2 Minutes!
Learn the most asked coding interview problem using the Hash Map approach and understand why it runs in O(n) time instead of O(n²).
In this Short, you'll learn:
✅ Problem statement
✅ Optimized Hash Map approach
✅ Step-by-step dry run
✅ Time & Space Complexity
✅ Interview tips
If you're preparing for FAANG, Microsoft, Amazon, Google, or any software engineering interview, this series is for you.
👍 Like the video if it helped.
💬 Comment which LeetCode problem I should explain next.
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🚀 LeetCode #1 – Two Sum Explained in Under 3 Minutes! #leetcode #viral #codeeveryday #codelife
Queue #codinginterview #education #databaseconcepts #algorithmanalysis #spacecomplexity #dsa
Want to clearly understand Time Complexity and Space Complexity of Queue for DSA and coding interviews? 🤔
In this video, we explain Queue Data Structure Complexity using simple examples, Big-O notation, and interview-focused concepts.

🚀 What You’ll Learn in This Video:

What is a Queue in Data Structures?

Queue Principle: FIFO (First In First Out)

Types of Queue (Simple, Circular, Priority, Deque)

Time Complexity of Queue Operations

Enqueue → O(1)

Dequeue → O(1)

Front / Peek → O(1)

Rear → O(1)

Search → O(n)

Space Complexity of Queue

Queue Implementation (Array vs Linked List)

Real-World Applications of Queue

Most Asked Queue Interview Questions

🎯 Why Watch This Video?
✔ Easy explanation of Big O Notation
✔ Important for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner-friendly & exam-oriented

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Master DSA Concepts Step-by-Step!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms content


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🔥 Time & Space Complexity of Queue | Queue Data Structure | Big-O Explained
Want to master Time Complexity and Space Complexity of Stack for DSA and coding interviews? 🤔
In this video, we explain Stack Data Structure Complexity using simple examples, Big-O notation, and interview-oriented explanations.

🚀 What You’ll Learn in This Video:

What is a Stack in Data Structures?

Stack Principle: LIFO (Last In First Out)

Time Complexity of Stack Operations

Push → O(1)

Pop → O(1)

Peek / Top → O(1)

Search → O(n)

Space Complexity of Stack

Stack Implementation (Array vs Linked List)

Real-World Applications of Stack

Common Stack Interview Questions

🎯 Why Watch This Video?
✔ Clear explanation of Big O Notation
✔ Essential for DSA Interviews & Exams
✔ Helpful for C, C++, Java, Python learners
✔ Beginner-friendly & concept-focused

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Build Strong DSA Foundations – One Concept at a Time!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms videos


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🔥 Time & Space Complexity of Stack | Stack Data Structure | Big-O Explained
Linked list operations and time complexity | BigO notation #education #scaling #codinginterview
📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms
Struggling to understand Time Complexity and Space Complexity of Linked Lists? 🤔
This video explains Linked List Data Structure Complexity in a simple, interview-focused, and beginner-friendly way using Big-O notation and real examples.

🚀 What You’ll Learn in This Video:

What is a Linked List in Data Structures?

Types of Linked List (Singly, Doubly, Circular)

Time Complexity of Linked List Operations

Accessing Elements → O(n)

Searching → O(n)

Insertion → O(1) / O(n)

Deletion → O(1) / O(n)

Space Complexity of Linked List

Linked List vs Array (Complexity Comparison)

Most Asked DSA Interview Questions on Linked List

🎯 Why Watch This Video?
✔ Clear explanation of Big O Notation
✔ Perfect for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner to Intermediate friendly

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Master DSA Step-by-Step – Build Strong Foundations!

👍 Like | 💬 Comment | 🔔 Subscribe for more DSA & Programming videos

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🔥 Time & Space Complexity of Linked List | DSA Made Easy | Big-O Explained
📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms
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