Linear Probing in Python Last Updated : 17 May, 2024 Summarize Comments Improve Suggest changes Share Like Article Like Report Linear probing is a technique used in hash tables to handle collisions. When a collision occurs (i.e., when two keys hash to the same index), linear probing searches for the next available slot in the hash table by incrementing the index until an empty slot is found. What is Linear Probing?In linear probing, the hash table is searched sequentially that starts from the original location of the hash. If in case the location that we get is already occupied, then we check for the next location. Linear Probing Algorithm:Calculate the hash key. i.e. key = data % sizeCheck, if hashTable[key] is emptystore the value directly by hashTable[key] = dataIf the hash index already has some value then check for next index using key = (key+1) % sizeCheck, if the next index is available hashTable[key] then store the value. Otherwise try for next index.Do the above process till we find the space.Below is the implementation of the above approach: Python class LinearProbeHashTable: def __init__(self, size): self.size = size self.keys = [None] * size self.values = [None] * size def hash_function(self, key): return hash(key) % self.size def put(self, key, value): index = self.hash_function(key) # Linear probing to find an empty slot while self.keys[index] is not None: if self.keys[index] == key: # If key already exists, update its value self.values[index] = value return index = (index + 1) % self.size # Insert the key-value pair self.keys[index] = key self.values[index] = value def get(self, key): index = self.hash_function(key) # Linear probing to find the key while self.keys[index] is not None: if self.keys[index] == key: return self.values[index] index = (index + 1) % self.size # Key not found return None hash_table = LinearProbeHashTable(10) hash_table.put('apple', 5) hash_table.put('banana', 7) hash_table.put('orange', 3) print(hash_table.get('banana')) # Output: 7 print(hash_table.get('grape')) # Output: None Output7 None Time complexity: O(n)Auxiliary Space: O(n) Comment More infoAdvertise with us Next Article Linear Probing in Python N nikhilgarg527 Follow Improve Article Tags : Hash DSA Python-DSA Practice Tags : Hash Similar Reads DSA Tutorial - Learn Data Structures and Algorithms DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. 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