Hashing is a fundamental concept in computer science and plays a crucial role in efficient data storage and retrieval. In this blog post, we will explore hashing in the context of programming language, focusing on two important classes: HashMap and HashSet. Java We'll cover the basics of hashing, explain the purpose and usage of HashMap and HashSet, provide Java syntax examples, showcase practical use cases, and discuss problem-solving patterns. So let's dive in! Please note that some of the links mentioned on this page may be affiliate links. This means that if you click on one of these links and make a purchase, I may earn a small commission from the sale. 🎙 Disclosure: What is Hashing? Hashing is a technique used to map data to a fixed-size value, known as a hash code or hash. It takes an input, performs some calculations on it, and produces a unique hash code. The resulting hash code is used as an index or key to store or retrieve data in a data structure. What is HashMap? HashMap is a class in Java's Collections framework that implements the Map interface. It provides a way to store key-value pairs, where each key is unique. The keys are hashed to generate hash codes, which are then used to index and store the corresponding values. HashMap allows for efficient retrieval and modification of data. Java Syntax for HashMap: To create a HashMap in Java, you need to import the class. java.util.HashMap Here's the syntax for creating a HashMap: import java.util.HashMap;

HashMap<KeyType, ValueType> map = new HashMap<>(); The represents the data type of the keys, and represents the data type of the values. KeyType ValueType Important Methods in HashMap: : Inserts a key-value pair into the HashMap. put(key, value) : Retrieves the value associated with the specified key. get(key) : Checks if the HashMap contains a specific key. containsKey(key) : Checks if the HashMap contains a specific value. containsValue(value) : Removes the key-value pair associated with the specified key. remove(key) : Returns the number of key-value pairs in the HashMap. size() Java Example for HashMap: Let's consider an example where we store the ages of individuals using their names as keys in a HashMap: import java.util.HashMap;

HashMap<String, Integer> ageMap = new HashMap<>();
ageMap.put("Alice", 28);
ageMap.put("Bob", 35);
ageMap.put("Charlie", 42);

System.out.println(ageMap.get("Alice")); // Output: 28 In this example, we create a HashMap with keys of type and values of type . We store the ages of three individuals and retrieve Alice's age using her name as the key. ageMap String Integer What is HashSet? HashSet is another class in Java's Collections framework that implements the Set interface. It represents a collection of unique elements where the order is not important. HashSet uses hashing internally to store and retrieve elements efficiently. Java Syntax for HashSet: To create a HashSet in Java, you need to import the class. Here's the syntax: java.util.HashSet import java.util.HashSet;

HashSet<ElementType> set = new HashSet<>(); The represents the data type of the elements in the set. ElementType Important Methods in HashSet: : Adds an element to the HashSet. add(element) : Checks if the HashSet contains a specific element. contains(element) : Removes an element from the HashSet. remove(element) : Returns the number of elements in the HashSet. size() Java Example for HashSet: Let's consider an example where we store a list of unique names using a HashSet: import java.util.HashSet;

HashSet<String> nameSet = new HashSet<>();
nameSet.add("Alice");
nameSet.add("Bob");
nameSet.add("Charlie");

System.out.println(nameSet.contains("Alice")); // Output: true In this example, we create a HashSet with elements of type . We add three unique names and check if "Alice" exists in the set using the method. nameSet String contains() Practical Use Cases of HashMap and HashSet: : HashMap is commonly used for efficient indexing and retrieval of data based on unique keys. For example, it can be used to store user profiles with usernames as keys. Data Indexing : HashSet is useful for removing duplicate elements from a collection. It can be used to filter unique values from a list or to check for the presence of duplicates. Eliminating Duplicates : HashMap can be employed as a cache mechanism, where expensive calculations or database queries can be stored and retrieved quickly using unique keys. Caching Problem-Solving Patterns with HashMap and HashSet: : HashMap can be utilized to count the frequency of elements in a list or string. It is helpful in solving problems related to finding duplicates or analyzing character/word occurrences. Frequency Counting : HashSet provides efficient set operations like union, intersection, and difference. These operations are beneficial in solving problems related to finding common elements or distinct values. Set Operations Conclusion: Hashing is a powerful technique that enables efficient storage and retrieval of data in Java. HashMap and HashSet are two essential classes that leverage hashing to provide key-value mapping and store unique elements, respectively. By understanding the concepts, syntax, practical use cases, important methods, and problem-solving patterns of HashMap and HashSet, you'll have a solid foundation to leverage these classes effectively in your Java projects. Recommended Resources to Learn Data Structures and Algorithms Recommended YouTubers for LeetCode Problems: 1. NeetCode 2. Take U Forward Free Resources for Learning Data Structures and Algorithms: 1. NeetCode Roadmap 2. Striver’s SDE Sheet Recommended Courses for Learning Data Structures and Algorithms: NeetCode Courses ZTM: Mastering the Coding Interview (Big Tech): Available on Udemy and ZTM Academy ZTM: Mastering the Coding Interview: Available on Udemy and ZTM Academy Data Structures & Algorithms, Level-up for Coding Interviews Course Striver’s A2Z (Free) Course Top Coursera Courses for Learning Data Structures and Algorithms: Coding Interview Preparation (Meta) Algorithms Course Part I (Princeton University) Algorithms Course Part II (Princeton University) Data Structures and Algorithms Specialization (UC San Diego) Algorithms Specialization (Stanford) (Note: The Coursera courses can be audited to get free access to the lectures) Also published here. Keep Learning Now, I guess this is where I say goodbye 👋. But, hey it’s time for you to start with your newfound Knowledge(Power)👨‍💻👩‍💻. Good Job that you made it this far 👏 & so much for reading my Blog 🙂. learning Thank you

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