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DSA lessons (16/55)

DSA — HashMap

What is a HashMap?

A hash table implementation that stores key-value pairs.

# Python dict is a HashMap
 hashmap = {}
 hashmap["name"] = "John"
 hashmap["age"] = 30

# Using dict constructor
hashmap = dict(name="John", age=30)

Common Operations

# Insert/Update
hashmap["key"] = "value"

# Access
value = hashmap["key"]

# Safe access
value = hashmap.get("key", "default")

# Delete
del hashmap["key"]
hashmap.pop("key")

# Check existence
"key" in hashmap

# Get all keys/values
hashmap.keys()
hashmap.values()
hashmap.items()

Use Cases

Use CaseExample
CountingCharacter frequency
CachingLRU cache
IndexingDatabase indexing
GroupingGroup by category

Counting Pattern

def count_words(text):
    words = text.lower().split()
    freq = {}
    for word in words:
        freq[word] = freq.get(word, 0) + 1
    return freq

Mini Practice

  1. Count character frequencies
  2. Group items by category
  3. Implement a cache
  4. Find duplicates efficiently

Up Next

Continue with Sets — set data structure.

Related Topics

Frequently Asked Questions about HashMap

What is HashMap in DSA?

HashMap is a fundamental concept in DSA. This lesson explains it step by step with clear examples, making it easy for beginners to understand.

How do I learn HashMap?

Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn HashMap.

Why is HashMap important in DSA?

HashMap is essential for DSA development. Understanding this concept will help you write better code and solve real-world problems more effectively.