Coding Interview Resources

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬 😍 Learn Coding From Scratch - Lectures Taught By IIT Alumni 60+ Hiring Drives Every Month 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-  🌟 Trusted by 7500+ Students 🤝 500+ Hiring Partners 💼 Avg. Rs. 7.4 LPA 🚀 41 LPA Highest Package Eligibility: BTech / BCA / BSc / MCA / MSc 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-  https://pdlink.in/4hO7rWY Hurry, limited seats available!

📊 Excel Interview Question ❓ What is the difference between VLOOKUP and XLOOKUP? 🧠 Key Differences Explained Simply: 🔹 Lookup Direction • VLOOKUP → Can only search left to right • XLOOKUP → Can search both left → right and right → left 🔹 Column Dependency • VLOOKUP → Depends on column number (breaks if columns move) • XLOOKUP → No column number required (more reliable) 🔹 Error Handling • VLOOKUP → Returns #N/A if value not found • XLOOKUP → Built-in option to handle missing values gracefully 🔹 Flexibility & Performance • VLOOKUP → Limited and outdated • XLOOKUP → Modern, flexible, and recommended by Microsoft 🚀 Final Verdict: If Excel version allows, always prefer XLOOKUP for cleaner, safer, and future-proof formulas. 🔥 React ❤️ for more Excel interview questions 📢 Follow this channel for more Data Analytics Tips and Interview Questions

𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗯𝘆 𝗜𝗜𝗧 𝗥𝗼𝗼𝗿𝗸𝗲𝗲😍 Deadline: 18th January 2026 Eligibility: Open to everyone Duration: 6 Months Program Mode: Online Taught By: IIT Roorkee Professors Companies majorly hire candidates having Data Science and Artificial Intelligence knowledge these days. 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝗻𝗸👇:  https://pdlink.in/4qHVFkI Only Limited Seats Available!

📊 SQL Interview Queries – Intermediate Level ━━━━━━━━━━━━━━ ❓ Query 01: Find employees earning more than the average salary SELECT * FROM employees WHERE salary > (SELECT AVG(salary) FROM employees); ❓ Query 02: Find department-wise employee count SELECT department, COUNT(*) AS emp_count FROM employees GROUP BY department; ❓ Query 03: Find departments with average salary greater than 60,000 SELECT department FROM employees GROUP BY department HAVING AVG(salary) > 60000; ❓ Query 04: Fetch employees who do not belong to any department SELECT e.* FROM employees e LEFT JOIN departments d ON e.department_id = d.department_id WHERE d.department_id IS NULL; ❓ Query 05: Find second highest salary SELECT MAX(salary) FROM employees WHERE salary < (SELECT MAX(salary) FROM employees); ❓ Query 06: Get highest salary in each department SELECT department, MAX(salary) FROM employees GROUP BY department; ❓ Query 07: Fetch employees hired in the last 6 months SELECT * FROM employees WHERE hire_date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH); ❓ Query 08: Find duplicate email IDs SELECT email, COUNT(*) FROM employees GROUP BY email HAVING COUNT(*) > 1; ❓ Query 09: Rank employees by salary within each department SELECT *, RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS rank FROM employees; ❓ Query 10: Fetch top 2 highest paid employees from each department SELECT * FROM ( SELECT *, DENSE_RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS rnk FROM employees ) t WHERE rnk <= 2; 🔥 Show some love with a reaction ❤️ 📊 Follow to learn Data Analytics from basics to advanced

📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍 🚀Upgrade your skills with industry-relevant Data Analytics training at ZERO cost  ✅ Beginner-friendly ✅ Certificate on completion ✅ High-demand skill in 2026 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/497MMLw 📌 100% FREE – Limited seats available!

✅ OOP Interview Questions with Answers Part-5 🧠💻 41. What is multiple inheritance? It means a class can inherit from more than one parent class. ✔ Supported in C++ ✖ Not directly supported in Java (handled via interfaces) 42. What are mixins? Mixins are a way to add reusable behavior to classes without using inheritance. ✔ Used in Python and JavaScript ✔ Promotes code reuse 43. What is the diamond problem in inheritance? Occurs when two parent classes inherit from a common grandparent, and a child class inherits both. ❌ Creates ambiguity about which method to inherit. 44. How is the diamond problem solved in C++ or Java? • C++: Uses virtual inheritance • Java: Avoids it entirely using interfaces (no multiple class inheritance) 45. What are abstract data types in OOP? ADTs define what operations can be done, not how. Examples: Stack, Queue, List ✔ Implementation is hidden ✔ Promotes abstraction 46. What is a design pattern in OOP? Reusable solution to a common software design problem. ✔ Templates for writing clean, maintainable code 47. What are some common OOP design patterns? • Singleton – one instance • Factory – object creation logic • Observer – event-based updates • Strategy – interchangeable behavior • Adapter – interface compatibility 48. Interface vs Abstract Class (Real-world use) • Interface – Contract; use when you want to define capability (e.g., Drivable) • Abstract Class – Shared structure + behavior; base class for similar types (e.g., Vehicle) 49. What is garbage collection? Automatic memory management – reclaims memory from unused objects. ✔ Java has a built-in GC ✔ Prevents memory leaks 50. Real-world use of OOP? • Games – Objects for players, enemies • Banking – Classes for accounts, transactions • UI – Buttons, forms as objects • E-commerce – Products, carts, users as objects 💬 Double Tap ❤️ For More!

𝗛𝗶𝗴𝗵 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗪𝗶𝘁𝗵 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲😍 Learn from IIT faculty and industry experts. IIT Roorkee DS & AI Program :- https://pdlink.in/4qHVFkI IIT Patna AI & ML :- https://pdlink.in/4pBNxkV IIM Mumbai DM & Analytics :- https://pdlink.in/4jvuHdE IIM Rohtak Product Management:- https://pdlink.in/4aMtk8i IIT Roorkee Agentic Systems:- https://pdlink.in/4aTKgdc Upskill in today’s most in-demand tech domains and boost your career 🚀

Here is the reformatted text: ✅ OOP Interview Questions with Answers Part-4 🧠💻 31. What is SOLID in OOP? SOLID is a set of 5 design principles for writing maintainable, scalable OOP code. It stands for: S – Single Responsibility O – Open/Closed L – Liskov Substitution I – Interface Segregation D – Dependency Inversion 32. Explain each SOLID principle briefly: • Single Responsibility – A class should do one thing only. • Open/Closed – Classes should be open for extension, but closed for modification. • Liskov Substitution – Subclasses should replace their parent classes without breaking functionality. • Interface Segregation – Prefer small, specific interfaces over large ones. • Dependency Inversion – Depend on abstractions, not concrete classes. 33. What is Liskov Substitution Principle? If a class S is a subclass of class T, objects of type T should be replaceable with objects of type S without affecting the program. Example: A Bird base class with a fly() method may break if Penguin inherits it (Penguins can't fly). So, design must respect capabilities. 34. What is Dependency Inversion Principle? High-level modules should not depend on low-level modules. Both should depend on abstractions. Example: A service class should depend on an interface, not a specific implementation. 35. What is object slicing? Occurs when an object of a derived class is assigned to a base class variable — the extra properties of the derived class are "sliced off." Example: C++ object slicing when passing by value. 36. What are getters and setters? Special methods used to get and set values of private variables in a class. They support encapsulation and validation.

def get_name(self): return self._name  
def set_name(self, name): self._name = name

37. What is a virtual function? A function declared in the base class and overridden in the derived class, using the virtual keyword (in C++). Enables run-time polymorphism. 38. What is early binding vs late binding? • Early Binding (Static): Method call is resolved at compile time (e.g., method overloading). • Late Binding (Dynamic): Method call is resolved at run-time (e.g., method overriding). 39. What is dynamic dispatch? It’s the process where the method to be invoked is determined at runtime based on the object’s actual type — used in method overriding (late binding). 40. What is a pure virtual function? A virtual function with no implementation in the base class — makes the class abstract. Syntax (C++):

virtual void draw() = 0;

💬 Double Tap ♥️ for Part-5

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗟𝗮𝘁𝗲𝘀𝘁 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀😍 - Data Science  - AI/ML - Data Analytics - UI/UX - Full-stack Development  Get Job-Ready Guidance in Your Tech Journey 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-  https://pdlink.in/4sw5Ev8 Date :- 11th January 2026

✅ OOP Interview Questions with Answers Part-3 💡💻 21. What is a final class or method? • A final class can't be extended. • A final method can't be overridden. Useful for security, immutability (e.g., String class in Java is final). 22. What is object cloning? • Creating an exact copy of an object. • In Java: use .clone() method from Cloneable interface. • Shallow vs Deep cloning: – Shallow copies references. – Deep copies full object graph. 23. What is a singleton class? • A class that allows only one instance. • Ensures shared resource (like a config manager or DB connection). • Common in design patterns.

public class Singleton {
  private static Singleton instance = new Singleton();
  private Singleton() {}
  public static Singleton getInstance() {
    return instance;
  }
}

24. What are access specifiers? Control visibility of class members: • public – accessible everywhere • private – only inside the class • protected – inside class subclasses • (default) – same package 25. What is cohesion in OOP? • Degree to which class elements belong together. • High cohesion = focused responsibility → better design. 26. What is coupling? • Dependency between classes. • Low coupling = better modularity, easier maintenance. 27. Difference between tight and loose coupling? • Tight coupling: classes are strongly dependent → harder to modify/test. • Loose coupling: minimal dependency → promotes reusability, flexibility. 28. What is composition vs aggregation? • Composition: "part-of" strong relationship → child can't exist without parent. Example: Engine in a Car • Aggregation: weak association → child can exist independently. Example: Student in a University 29. Difference between association, aggregation, and composition? • Association: General relationship • Aggregation: Whole-part, but loose • Composition: Whole-part, tightly bound 30. What is the open/closed principle? • From SOLID: “Software entities should be open for extension, but closed for modification.” • Means add new code via inheritance, not by changing existing logic. 💬 Double Tap ♥️ for Part-3

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗯𝘆 𝗜𝗜𝗧 𝗥𝗼𝗼𝗿𝗸𝗲𝗲😍 Deadline: 11th January 2026 Eligibility: Open to everyone Duration: 6 Months Program Mode: Online Taught By: IIT Roorkee Professors Companies majorly hire candidates having Data Science and Artificial Intelligence knowledge these days. 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝗻𝗸👇:  https://pdlink.in/4qNGMO6 Only Limited Seats Available!

✅ OOP Interview Questions with Answers Part-2 💡💻 11. What is Method Overriding? It allows a subclass to provide a specific implementation of a method already defined in its superclass. Example (Java):

class Animal {
  void sound() { System.out.println("Animal sound"); }
}
class Dog extends Animal {
  void sound() { System.out.println("Bark"); }
}

12. What is a Constructor? A constructor is a special method used to initialize objects. It has the same name as the class and no return type. Runs automatically when an object is created. 13. Types of Constructors: • Default Constructor: Takes no parameters. • Parameterized Constructor: Takes arguments to set properties. • Copy Constructor (C++): Copies data from another object. 14. What is a Destructor? Used in C++ to clean up memory/resources when an object is destroyed. In Java, finalize() was used (deprecated now). Java uses garbage collection instead. 15. Difference: Abstract Class vs Interface | Feature | Abstract Class | Interface | |---------------|----------------------|------------------------| | Methods | Can have implemented | Only declarations (till Java 8) | | Inheritance | One abstract class | Multiple interfaces | | Use case | Partial abstraction | Full abstraction | 16. Can a Class Inherit Multiple Interfaces? Yes. Java allows a class to implement multiple interfaces, enabling multiple inheritance of type, without ambiguity. 17. What is the super keyword? Used to refer to the parent class: • Access parent’s constructor: super() • Call parent method: super.methodName() 18. What is the this keyword? Refers to the current class instance. Useful when local and instance variables have the same name.

this.name = name;

19. Difference: == vs .equals() in Java • == compares object references (memory address). • .equals() compares the content/values. Use .equals() to compare strings or objects meaningfully. 20. What are Static Members? Static members belong to the class, not individual objects. • static variable: shared across all instances • static method: can be called without an object 💬 Double Tap ♥️ for Part-3

✅ Top Python Interview Questions 🐍💡 1️⃣ What is a string in Python? Answer: A string is a sequence of characters enclosed in quotes (single, double, or triple). Example: "Hello", 'World', '''Multi-line''' 2️⃣ How do you reverse a string in Python? Answer:

text = "hello"
reversed_text = text[::-1]

3️⃣ What’s the difference between is and ==? Answer: • == checks if values are equal • is checks if they are the same object in memory 4️⃣ How do for and while loops differ? Answer: • for loop is used for iterating over a sequence (list, string, etc.) • while loop runs as long as a condition is True 5️⃣ What is the use of break, continue, and pass? Answer: • break: exits the loop • continue: skips current iteration • pass: does nothing (placeholder) 6️⃣ How to check if a substring exists in a string? Answer:

"data" in "data science"  # Returns True

7️⃣ How do you use if-else conditions? Answer:

x = 10  
if x > 0:  
    print("Positive")  
else:  
    print("Non-positive")

8️⃣ What are f-strings in Python? Answer: Introduced in Python 3.6 for cleaner string formatting:

name = "Riya"
print(f"Hello, {name}")

9️⃣ How do you count characters or words in a string? Answer:

text.count('a')      # Count 'a'  
len(text.split())    # Count words

🔟 What is a nested loop? Answer: A loop inside another loop:

for i in range(2):  
    for j in range(3):  
        print(i, j)

💬 Tap ❤️ for more!

𝗧𝗼𝗽 𝟱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗶𝗻 𝟮𝟬𝟮𝟲😍 Start learning industry-relevant data skills today at zero cost! 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀:- https://pdlink.in/497MMLw 𝗔𝗜 & 𝗠𝗟 :- https://pdlink.in/4bhetTu 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴:- https://pdlink.in/3LoutZd 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆:- https://pdlink.in/3N9VOyW 𝗢𝘁𝗵𝗲𝗿 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀:- https://pdlink.in/4qgtrxU 🎓 Enroll Now & Get Certified

Artificial Intelligence (AI) Roadmap | |-- Fundamentals | |-- Mathematics | | |-- Linear Algebra | | |-- Calculus | | |-- Probability and Statistics | | | |-- Programming | | |-- Python (Focus on Libraries like NumPy, Pandas) | | |-- Java or C++ (optional but useful) | | | |-- Algorithms and Data Structures | | |-- Graphs and Trees | | |-- Dynamic Programming | | |-- Search Algorithms (e.g., A*, Minimax) | |-- Core AI Concepts | |-- Knowledge Representation | |-- Search Methods (DFS, BFS) | |-- Constraint Satisfaction Problems | |-- Logical Reasoning | |-- Machine Learning (ML) | |-- Supervised Learning (Regression, Classification) | |-- Unsupervised Learning (Clustering, Dimensionality Reduction) | |-- Reinforcement Learning (Q-Learning, Policy Gradient Methods) | |-- Ensemble Methods (Random Forest, Gradient Boosting) | |-- Deep Learning (DL) | |-- Neural Networks | |-- Convolutional Neural Networks (CNNs) | |-- Recurrent Neural Networks (RNNs) | |-- Transformers (BERT, GPT) | |-- Frameworks (TensorFlow, PyTorch) | |-- Natural Language Processing (NLP) | |-- Text Preprocessing (Tokenization, Lemmatization) | |-- NLP Models (Word2Vec, BERT) | |-- Applications (Chatbots, Sentiment Analysis, NER) | |-- Computer Vision | |-- Image Processing | |-- Object Detection (YOLO, SSD) | |-- Image Segmentation | |-- Applications (Facial Recognition, OCR) | |-- Ethical AI | |-- Fairness and Bias | |-- Privacy and Security | |-- Explainability (SHAP, LIME) | |-- Applications of AI | |-- Healthcare (Diagnostics, Personalized Medicine) | |-- Finance (Fraud Detection, Algorithmic Trading) | |-- Retail (Recommendation Systems, Inventory Management) | |-- Autonomous Vehicles (Perception, Control Systems) | |-- AI Deployment | |-- Model Serving (Flask, FastAPI) | |-- Cloud Platforms (AWS SageMaker, Google AI) | |-- Edge AI (TensorFlow Lite, ONNX) | |-- Advanced Topics | |-- Multi-Agent Systems | |-- Generative Models (GANs, VAEs) | |-- Knowledge Graphs | |-- AI in Quantum Computing Best Resources to learn ML & AI 👇 Learn Python for Free Prompt Engineering Course Prompt Engineering Guide Data Science Course Google Cloud Generative AI Path Machine Learning with Python Free Course Machine Learning Free Book Artificial Intelligence WhatsApp channel Hands-on Machine Learning Deep Learning Nanodegree Program with Real-world Projects AI, Machine Learning and Deep Learning Like this post for more roadmaps ❤️ Follow & share the channel link with your friends: t.me/free4unow_backup ENJOY LEARNING👍👍

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗕𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 😍 Roadmap to land your dream job in top product-based companies 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝘀:- - 90-Day Placement Plan - Tech & Non-Tech Career Path - Interview Preparation Tips - Live Q&A 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-  https://pdlink.in/3Ltb3CE Date & Time:- 06th January 2026 , 7PM

Useful Git Commands📝👨🏻‍💻 React ❤️ for more like this #techinfo

🚀 Roadmap to Master DSA (Data Structures  Algorithms) in 60 Days! 📚💻 📅 Week 1–2: Foundations  🔹 Day 1–3: Time  Space Complexity  🔹 Day 4–7: Recursion basics  practice  🔹 Day 8–10: Arrays – operations, sliding window  🔹 Day 11–14: Strings – patterns, hashing, two pointers 📅 Week 3–4: Core Data Structures  🔹 Day 15–17: Linked Lists – single, double, reverse  🔹 Day 18–20: Stacks  Queues – using arrays  linked lists  🔹 Day 21–24: Trees – traversal, height, BST  🔹 Day 25–28: Binary Search Trees  Heaps 📅 Week 5–6: Algorithms  Graphs  🔹 Day 29–31: Sorting – bubble, merge, quick  🔹 Day 32–35: Binary Search – on arrays  answer  🔹 Day 36–40: Backtracking – N-Queens, Sudoku  🔹 Day 41–44: Graphs – BFS, DFS, adjacency list/matrix  🔹 Day 45–48: Dijkstra, Topological Sort, Union-Find 📅 Week 7–8: Advanced Concepts  🔹 Day 49–52: Dynamic Programming – Fibonacci, LCS, LIS  🔹 Day 53–55: Greedy – activity selection, coin change  🔹 Day 56–58: Tries, Segment Trees (basic)  🔹 Day 59–60: Practice full mock tests  revise 💬 Tap ❤️ for more!

🚀 Roadmap to Master DSA (Data Structures Algorithms) in 60 Days! 📚💻 📅 Week 1–2: Foundations 🔹 Day 1–3: Time Space Complexity 🔹 Day 4–7: Recursion basics practice 🔹 Day 8–10: Arrays – operations, sliding window 🔹 Day 11–14: Strings – patterns, hashing, two pointers 📅 Week 3–4: Core Data Structures 🔹 Day 15–17: Linked Lists – single, double, reverse 🔹 Day 18–20: Stacks Queues – using arrays linked lists 🔹 Day 21–24: Trees – traversal, height, BST 🔹 Day 25–28: Binary Search Trees Heaps 📅 Week 5–6: Algorithms Graphs 🔹 Day 29–31: Sorting – bubble, merge, quick 🔹 Day 32–35: Binary Search – on arrays answer 🔹 Day 36–40: Backtracking – N-Queens, Sudoku 🔹 Day 41–44: Graphs – BFS, DFS, adjacency list/matrix 🔹 Day 45–48: Dijkstra, Topological Sort, Union-Find 📅 Week 7–8: Advanced Concepts 🔹 Day 49–52: Dynamic Programming – Fibonacci, LCS, LIS 🔹 Day 53–55: Greedy – activity selection, coin change 🔹 Day 56–58: Tries, Segment Trees (basic) 🔹 Day 59–60: Practice full mock tests revise 💬 Tap ❤️ for more!

Bookmark these sites FOREVER!!! ❯ HTML ➟ learn-html ❯ CSS ➟ css-tricks ❯ JavaScript ➟ javascript .info ❯ Python ➟ realpython ❯ C ➟ learn-c ❯ C++ ➟ fluentcpp ❯ Java ➟ baeldung ❯ SQL ➟ sqlbolt ❯ Go ➟ learn-golang ❯ Kotlin ➟ studytonight ❯ Swift ➟ codewithchris ❯ C# ➟ learncs ❯ PHP ➟ learn-php ❯ DSA ➟ techdevguide .withgoogle