Learn DSA With C++ & Python

✅ Learn how to declare, initialize, and manipulate arrays, including matrix operations and applications in competitive coding.

✅ Practice common string operations such as reversal, palindrome check, substring search, and tokenization in both C++ and Java.

✅ Use these popular techniques to solve problems like maximum subarray, longest substring without repetition, and more.

✅ Understand how string handling differs between the two languages and how to convert between types when necessary.

✅ Grasp the concept of recursion through factorial, Fibonacci, and sum of digits problems.

✅ Visualize recursion calls with stack memory and trace recursive trees for better problem-solving.

✅ Solve classic backtracking problems to learn decision tree pruning and efficient state restoration techniques.

✅ Learn how to generate all subsets and permutations using recursive approaches and backtracking.

✅ Build your own linked list data structures and learn operations such as insertion, deletion, and traversal.

✅ Implement stack using arrays and linked lists, and use them in expressions, parsing, and undo functionality.

✅ Practice algorithmic problems using linked lists to manipulate structure and solve real challenges.

✅ Apply stack-based solutions to parse and evaluate expressions in various notations.

✅ Create and traverse binary trees, and implement Binary Search Trees for quick lookup and insert operations.

✅ Learn recursive and iterative implementations of tree traversal algorithms.

✅ Represent graphs using various structures and explore real-world graph modeling scenarios.

✅ Traverse and analyze graphs using Depth-First and Breadth-First Search along with cycle detection and topological sorting.

✅ Understand and implement basic sorting algorithms with complexity analysis.

✅ Implement divide-and-conquer-based sorting methods with a focus on recursion and optimization.

✅ Apply binary search on sorted arrays and solve related problems like first/last occurrence, search in rotated array, etc.

✅ Use binary search-based logic to efficiently search elements in matrices and grid-like data.

✅ Understand the concept of overlapping subproblems and solve them efficiently using DP techniques.

✅ Solve classical DP problems that form the foundation of many coding interviews and contests.

✅ Learn how to apply dynamic programming in real-world grid and matrix problems.

✅ Implement optimized DP solutions by reducing memory usage while preserving logic correctness.

✅ Define and use classes and objects to structure your code using OOP principles in both languages.

✅ Use object-oriented features like inheritance and method overriding to enhance code reuse and modularity.

✅ Secure your data and hide internal implementation details with encapsulation and abstraction.

✅ Understand lifecycle management of objects and apply interfaces and constructors effectively.

✅ Participate in mock technical interviews that simulate real FAANG-level questions and whiteboard coding rounds.

✅ Build real-world mini projects like Contact Manager, Tic-Tac-Toe, or Snake Game using DSA logic.

✅ Learn how to prepare a technical resume and maintain a GitHub portfolio to impress recruiters.

✅ Get tips and patterns to solve unseen problems with confidence in competitive exams and interviews.