C++ with data structures course - modern programming language is based on algorithms. The C++ with data structures course tells you about the various techniques of generally used data structures and algorithms and how to use these algorithms in C++ from scratch.
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Building Block for your Career C++ with data structures course provides you with the opportunity to choose your career in the field of computer science. if you join this course you will be able to write efficient and optimized computer programs. Enroll now and start training in cpp with the data structures course at Accepted piece. The accepted piece provides you with the facility to join C++ with a data structures course in both online and offline modes. Accepted Piece believes that a good knowledge of data structures and the algorithm is also necessary to become a good programmer because a programmer who has a good understanding of algorithms and data structures can make attentive choices and write programs that can handle changes better and perform well.
Table of contents for a competitive coding guide: |
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Introduction to Competitive Coding |
1.1 What is Competitive Coding? |
1.2 Benefits of Competitive Coding |
1.3 Common Programming Languages in Competitive Coding |
Essential Data Structures and Algorithms |
2.1 Arrays and Strings |
2.2 Linked Lists |
2.3 Stacks and Queues |
2.4 Trees and Graphs |
2.5 Sorting and Searching Algorithms |
2.6 Dynamic Programming |
2.7 Greedy Algorithms |
2.8 Backtracking |
Time and Space Complexity Analysis |
3.1 Big O Notation |
3.2 Time Complexity Analysis |
3.3 Space Complexity Analysis |
3.4 Optimizing Code Efficiency |
Problem-Solving Techniques |
4.1 Brute Force Approach |
4.2 Two-Pointers Technique |
4.3 Sliding Window Technique |
4.4 Binary Search |
4.5 Divide and Conquer |
4.6 Memoization and Tabulation |
Advanced Data Structures and Algorithms |
5.1 Priority Queues and Heaps |
5.2 Disjoint Set Union (DSU) |
5.3 Trie |
5.4 Segment Trees |
5.5 Fenwick Trees |
5.6 Dijkstra's Algorithm |
5.7 Floyd-Warshall Algorithm |
Common Coding Problems and Solutions |
6.1 Array Manipulation |
6.2 String Manipulation |
6.3 Searching Problems |
6.4 Sorting Problems |
6.5 Graph Problems |
6.6 Dynamic Programming Problems |
Tips and Tricks for Competitive Coding |
7.1 Understanding Problem Statements |
7.2 Test Case Generation and Debugging |
7.3 Efficient Input/Output Techniques |
7.4 Handling Time and Memory Limits |
7.5 Utilizing Standard Template Libraries (STL) |
7.6 Practicing with Online Coding Platforms |