Core Concepts of Python Data Structures and Algorithms Explained Clearly
Sub Category
- Programming Languages
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Objectives
- Overview of Data Structures and Algorithms
- Importance of Data Structures and Algorithms in Programming
- Basic Concepts: Time Complexity, Space Complexity, Big O Notation
- Data Types and Data Structures in Python
- Functions and Control Flow Structures
- Introduction to Arrays and Lists
- Array Operations: Accessing Elements, Insertion, Deletion
- List Manipulation and Traversal
- Operations on Linked Lists: Insertion, Deletion, Traversal
- Analyzing the Efficiency of Linked List Operations
- Introduction to Stacks and Queues
- Implementing Stacks and Queues using Arrays and Linked Lists
- Stack and Queue Operations - Push, Pop, Enqueue, Dequeue
- Tree Traversal Algorithms: Inorder, Preorder, Postorder
- Hashing Techniques: Separate Chaining, Open Addressing
- Comparison-Based Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort
- Linear search
- Binary search
- Recursion and Recursive Algorithms
- Dynamic Programming: Principles and Applications and more.....
Pre Requisites
- Basic programming logic and Python programming
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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