C, C++, Java, Python & R by Dr. Mohd. Abdul Hameed | Codewise - Complete Programmer’s Reference (Part-2) | Data Structures & Algorithms | Ideal for Students, Educators & Programmers

Mastering Data Structures and Algorithms (DSA) is the single most important milestone for any programmer aiming to write efficient, scalable code or crack top-tier technical interviews. However, understanding how a theoretical data structure translates across different programming paradigms—from memory-managed C/C++ to object-oriented Java, dynamically typed Python, and data-centric R—can be a major hurdle. C, C++, Java, Python & R – The Complete Programmer’s Reference (Part-2) by Dr. Mohd. Abdul Hameed solves this challenge through an innovative, comparative polyglot approach. Rather than teaching algorithms in isolation or limiting you to a single language, this reference manual provides complete, side-by-side working implementations of fundamental data structures across five of today’s most prominent programming languages. What’s Inside: C, C++, Java, Python & R – The Complete Programmer’s Reference (Part-2) Comprehensive Data Structures & Algorithms: Linear Structures : In-depth implementation of Stacks, Queues (Circular & Priority), Single/Double Linked Lists, and Hash Tables. Non-Linear Structures : Complete breakdowns of Trees (Binary Search Trees, AVL) and Graphs (BFS, DFS, Shortest Path algorithms). Core Algorithmic Techniques : Step-by-step logic for fundamental Searching (Binary, Linear) and Sorting algorithms (Quick, Merge, Heap, Bubble). Side-by-Side Implementation in 5 Languages: C & C++: Learn low-level pointer arithmetic, explicit memory management (malloc/free), dynamic allocation, and C++ Standard Template Library (STL) structures. Java : Understand Object-Oriented representations, garbage collection considerations, and the Java Collections Framework. Python : Leverage pythonic syntax, built-in dynamic list operations, object references, and efficient library routines. R: Master data-science-oriented structural handling, vectorization, and algorithmic implementations tailored for statistical computation. Rigorous Analytical Tools: Visual Logic: Includes step-by-step flowcharts and algorithmic pseudocode to clarify complex execution flows before coding. Complexity Analysis: Detailed Big-O time and space complexity evaluations (O(1), O(n), O(n log n), etc.) for every structure and algorithm. Who is This Book For ? Software Engineers & Job Seekers: An essential preparation handbook for coding interviews at top tech companies, helping you write algorithms in whichever language the interview demands. CS Students & Educators: A perfect university reference text for Data Structures courses, highlighting how language architecture influences execution speed and memory management. Elevate Your Problem-Solving Across Every Language. Stop limiting your algorithmic knowledge to a single framework. Gain the flexibility to switch between systems programming, web backends, artificial intelligence, and statistical data science. Order your copy of Dr. Mohd. Abdul Hameed's Programmer’s Reference (Part-2) today!