Java Programming with DSA & Leetcode for Complete Beginners

Explore the types of programming languages and memory management concepts, building a beginner-friendly foundation for Java programming with insight into DSA and Leetcode preparation.

Explore control flow through flowcharts and pseudocode, mastering input, processing, and conditions as a complete beginner. Learn fundamental concepts with salary bonuses, prime checks, and the square root method.

Practice hands-on Java programming by writing a main class and printing hello world. Learn how bytecode is created by javac and why the main function and public class matter.

Begin by writing your first Java program, handling input and output, exploring datatypes, and applying debugging techniques to ensure correct execution.

Explore switch statements in Java, including break, default, and nested switch cases, with examples and the enhanced switch syntax for cleaner, modern code.

Master the basics of Java functions and methods in part 1, learning how to declare, implement, and call methods for complete beginners.

Master functions and methods in Java through practical examples, covering syntax, invocation, and common pitfalls to build a solid foundation for beginner DSA and LeetCode practice.

Explore arrays basics in Java: what arrays are, their syntax and declaration, memory management, dynamic allocation, and a look at ArrayList and zero-based indexing.

Examine how arrays store reference variables in the heap, distinguish primitives from objects, and use for loops, enhanced for loops, 2d arrays, and Arrays.toString for printing.

Learn how 2d java arrays vary by row lengths and how to input and print them. Understand arraylist basics in java’s collection framework, including capacity and adding elements with generics.

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Understand strings vs StringBuilder in Java, improving performance by avoiding n squared concatenation, and learn palindrome checks with a two pointer approach.

Dive into object-oriented programming in Java by defining classes and objects, exploring constructors and keywords, then cover packages, static, encapsulation, inheritance, interfaces, generics, and the collections framework.

Show how the new keyword dynamically allocates memory on the heap and returns a reference. Describe how the reference lives in stack memory, and how constructors initialize object fields.

Explore how classes and objects are created in Java, initialize them with constructors, and use the this keyword to assign fields and differentiate between parameters and fields.

Explore how object references point to the same object, the difference between primitives and wrapper classes, and how final variables and garbage collection influence memory in Java.

Introduces packages in Java and explains static versus non-static concepts, access modifiers, in-built methods, and how to create singleton classes. Shows how to override toString, imports, and basic printing behavior.

Explore static concepts in Java, including static variables and methods, how to access them via the class name, and why main is static.

Explore how inheritance, polymorphism, encapsulation, and abstraction shape Java OOP by using base and child classes, the extends keyword, and constructors.

Explore inheritance and encapsulation in Java: how a subclass calls the parent constructor with super, accesses non-private members, and how reference type governs access and polymorphism and abstraction.

Explore object-oriented principles in Java, including inheritance, polymorphism, and interfaces, and distinguish compile-time from runtime polymorphism with overloading and overriding.

Explore how inheritance and polymorphism work in Java by examining method overriding, dynamic method dispatch, and the roles of reference type versus object type, including early and late binding.

Explore the core object-oriented principles—inheritance, polymorphism, encapsulation, and abstraction—clarified through static methods, overriding, data hiding, and access control in Java.

Explore object oriented programming access control and data hiding in Java, including private, public, default, and protected modifiers, in-built packages, and getters and setters for encapsulation.

Explore java access modifiers and package rules, including public, protected, private, and default, and learn how subclass access differs across same and different packages, with in-built and user-defined packages.

Explore core java packages such as java.lang, java.io, and java.util, and deepen your understanding of the object class, including hashCode, equals, toString, getClass, and instance checks for complete beginners.

Explore Java's abstract classes and abstract methods, showing how a parent class defines a form and requires subclasses to override methods, enabling runtime polymorphism and preventing instantiation of abstract classes.

Explore the differences between abstract classes and interfaces, including when to extend or implement, how multiple inheritance is achieved with interfaces, and the role of default, static, and final members.

Explore generics by building a custom ArrayList from scratch, mastering private internal arrays, resizing, and amortized constant time, while learning exception handling and object cloning.

Explore generics in Java, including type erasure, using a custom generic array list, wildcards, and bounded types, and learn to implement Comparable for object comparison by marks.

Learn to compare objects with compareTo, sort lists with comparators and generics, and build a custom ArrayList. Explore lambda expressions, functional interfaces, and exception handling, including checked and unchecked exceptions.

Explore the Java collections framework, compare Vector with ArrayList, learn about enums, interfaces, and basic OOP concepts to prepare for interviews.

Explore space and time complexity, including big O, omega, and theta, to understand how algorithms scale. Learn recurrence relations, derive Fibonacci formulas, and review memory management and NP completeness.

Master recursion as the foundational topic for data structures and algorithms, from binary trees and linked lists to dynamic programming, heaps, and graphs, using stack-based function calls and practical examples.

Explore recursion in depth: how a function calls itself, manage the stack with a base condition, and visualize recursion with a tree to solve complex problems.

Explore how to solve problems with recursion using the Fibonacci sequence as a case study, identify base conditions, derive the recurrence relation f(n)=f(n-1)+f(n-2), and visualize the recursive tree.

Explore recursion fundamentals, learn how function calls and variables drive recursive solutions, and apply recursion to binary search and Fibonacci with notes on recurrence and memoization.

Learn recursion by tracing function calls, mid and start values, and how return values propagate through the stack toward the base condition in Java.

Explore foundational recursion concepts in Java programming, including recursion trees, call stacks, base cases, and factorial examples, with practical code and debugging guidance.

Explore recursion in Java with theory, code, and tips. Solve factorial, sum of digits, digit product, and reverse a number using clear base cases.

Explore recursion in Java with theory and code, including base conditions and helper functions, and apply patterns like reversing digits, palindrome checks, counting zeros, and step reduction.

Gain hands-on understanding of recursion with arrays, including passing, returning, and modifying arrays; learn patterns and problem-solving approaches, from array sorting to backtracking, through code demos.

Explore recursion for array problems by implementing linear search from start or end to find a target. Learn to return boolean or index and manage results with list or parameter.

Explore recursion with array questions, showing how multiple references share the same list object, how returns propagate through nested calls, and how base conditions guide final results.

Explore recursion with arrays through theory, code, and tips, learning how to return accumulated answers, manage base cases, and apply rotated binary search in a structured, step-by-step approach.

Learn recursion with array questions through theory, code, and tips, mastering how return values combine across calls and applying this to rotated binary search.

Explore recursion through pattern questions and master bubble sort and selection sort to build beginner-friendly Java skills in DSA and coding.

Explore merge sort using recursion, covering theory, complexity, and practical code implementation. Understand how divide-and-conquer drives performance and analyze time and space complexity while tracing recursive calls and merging steps.

Master quick sort using recursion through theory, complexity analysis, and practical code in Java for complete beginners.

Explore recursion patterns for string questions, including subsets and subsequences, using practical examples of removing characters and building answers within function bodies.

Master generating all permutations by recursion with processed and unprocessed, using the subset method and a for loop to place characters, illustrated with ABC.

Learn backtracking fundamentals with maze problems in Java, using recursion to count and print paths in a 3x3 grid, focusing on right and down moves for DSA interview prep.

Master backtracking in Java through maze problems using recursion to print paths with d and r from processed and unprocessed steps, including obstacles and diagonal moves.

Master backtracking through maze problems, learning path restrictions, how to mark visited cells to avoid infinite recursion, and practical code tips for debugging and implementation.

Master backtracking in maze solving through recursion, restoring the maze on backtrack, and marking cells as visited to print paths and solve problems.

Master recursion with interview-style challenges from Google and Amazon. Explore dice throw and letter combinations of a phon as part of Java programming with DSA and Leetcode for complete beginners.

Explore singly, doubly, and circular linked lists with theory and hands-on code; learn inserting at last and at an index, deleting first/last, and finding values in Java.

Explore singly and doubly linked lists, and learn traversal, head and node concepts, insertion at the front, reverse printing, and memory pointers through theory and code.

Master linked lists in Java: learn singly, doubly, and circular structures with theory and code implementations for complete beginners.