

A unified runtime for both JVM and multiplatform.If you need to perform frequent lookups or modifications, a different data structure such as a hash table or a binary tree may be more appropriate.Apollo Kotlin 3.0 rewrites most of Apollo Android's internals in Kotlin. The map data structure can become inefficient if the number of key-value pairs is very large, as it requires O(n) time to search for a key in the worst case.To add or remove elements, you must create a new map or use a mutable map. The read-only nature of the map means that it cannot be modified once it is created.The read-only nature of the map makes it safe to pass between functions and threads without worrying about concurrent modifications.The mapOf() function is easy to use and provides a simple way to create a new read-only map with initial key-value pairs.The map data structure provides a way to associate a key with a value, which is useful for organizing and retrieving data.Finally, we check if the map contains the key “Mary” using the containsKey() function and print the result to the console. We then retrieve the value associated with the key “John” using the square bracket notation and store it in the variable johnAge. In this example, we create a new read-only map of strings using the mapOf() function with the key-value pairs “John” to 25, “Mary” to 30, and “Bob” to 20. ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.DevOps Engineering - Planning to Production.Python Backend Development with Django(Live).Android App Development with Kotlin(Live).

Full Stack Development with React & Node JS(Live).Java Programming - Beginner to Advanced.Data Structure & Algorithm-Self Paced(C++/JAVA).Data Structure & Algorithm Classes (Live).
