How to prepare for ICPC (Competitive programming )as a beginner?

First of all, You have to  Learn a Programming language Completely. The Language can be C++ or Python.

The International Collegiate Programming Contest (ICPC) covers various algorithms and problem-solving techniques. To prepare for ICPC, you should have a strong understanding of fundamental algorithms and data structures. Here's a list of crucial algorithms and topics that are commonly encountered in ICPC contests:

Sorting Algorithms:

• QuickSort
• MergeSort
• BubbleSort
• CountingSort
• RadixSort

Searching Algorithms:

• Binary Search
• Hashing (e.g., using hash tables)

Data Structures:

• Arrays
• Linked Lists
• Stacks
• Queues
• Heaps (Binary Heap, Priority Queue)
• Hash Tables
• Trees (Binary Trees, Binary Search Trees, AVL Trees, Segment Trees)

Graph Algorithms:

• Breadth-First Search (BFS)
• Depth-First Search (DFS)
• Dijkstra's Algorithm (shortest path)
• Bellman-Ford Algorithm (shortest path with negative weights)
• Kruskal's Algorithm (minimum spanning tree)
• Prim's Algorithm (minimum spanning tree)
• Floyd-Warshall Algorithm (all-pairs shortest paths)

Dynamic Programming:

• Understanding the concept of dynamic programming
• Memoization and Tabulation techniques
• Examples: Fibonacci sequence, Coin Change, Longest Common Subsequence, Knapsack

Greedy Algorithms:

• Understanding greedy-choice property
• Examples: Huffman coding, Minimum Spanning Tree algorithms

String Algorithms:

• String manipulation (substring search, reversing, etc.)
• Pattern matching (e.g., KMP algorithm)
• Longest Common Substring/Prefix
• Tries (prefix trees)

Number Theory:

• Prime numbers (primality testing, Sieve of Eratosthenes)
• Modular arithmetic
• Greatest Common Divisor (GCD)
• Least Common Multiple (LCM)

Combinatorics:

• Permutations and Combinations
• Probability and Expectation

Geometry:

• Basic geometric algorithms (distance calculation, convex hull)
• Line sweep algorithm

Bit Manipulation:

• Bitwise operators (AND, OR, XOR)
• Bit counting (Hamming weight)
• Bit manipulation tricks (e.g., finding the rightmost set bit)
• Advanced Topics (may be encountered in more challenging ICPC problems)
• Graph theory (advanced graph algorithms, network flows)
• Advanced dynamic programming (matrix exponentiation, bitmask DP)
• Computational geometry (Voronoi diagrams, intersection algorithms).