Data Structure with Python, Java, C , C++, C#

Data Structure and Algorithms

Data structures are organized ways of storing and managing data with operations like insertion, deletion, searching, and traversal. Since no single data structure fits all purposes, understanding their strengths and limitations is essential. Efficient algorithms are crucial for optimizing limited resources like time and memory, especially in modern computing with GUIs, OOP, web technologies, fast networking, and advanced architectures.

Algorithms can be implemented in any programming language, though some offer built-in support. Knowledge of data structures improves coding efficiency by enabling effective data interaction. At @EduPlusOne, learning begins with complexity analysis, then covers operations on arrays, linked lists, strings, stacks, queues, sorting, searching, and advanced structures like binary trees. Practical problems such as prime numbers, string and matrix manipulation, Fibonacci, and palindrome are also included.

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[rt_fancy_text_box_style title=”Data Structure – Arrays” fancy_content=”One dimensional and multi-dimensional random access lists: declaring, initializing, and accessing list elements, searching algorithms: linear and binary, sorting algorithms: selection, insertion and bubble sort, implementing stacks and queues using arrays.” icon_fontawesome=”fa fa-book” align=”center” add_shadow=”hover”]

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Introduction to pointers, argument passing to functions: by value and by reference and pointer arithmetic” icon_fontawesome=”fa fa-book” align=”center” add_shadow=”hover”]

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[rt_fancy_text_box_style title=”Course Duration” fancy_content=”10 Weeks” icon_fontawesome=”fa fa-clock-o” align=”center”]

[rt_fancy_text_box_style title=”Course Fees for group classes” fancy_content=”INR 15000″ icon_fontawesome=”” align=”center”]