Description
Complete Guide to Python Data Structures & Algorithms Course is a course on how to write efficient and optimal Python code, published by Udemy Online Academy. This is a comprehensive and practical course that teaches you how to write efficient and optimal Python code by mastering essential data structures and algorithms used in real-world software development and technical interviews. You will start by learning how to implement basic Python data structures such as lists, stacks, queues, linked lists, trees, hash tables, heaps, and graphs, and then move on to algorithmic techniques for searching, sorting, recursion, dynamic programming, and graph traversal. The course emphasizes not only coding, but also why and when to use each approach, teaching you how to analyze time and space complexity and choose the best solution for a particular problem.
Unleash the power of Python data structures and algorithms and take your programming skills to the next level. This course is designed for beginners, intermediate programmers, and anyone looking to master efficient coding techniques that are essential for software development, problem solving, and technical interviews. The course then dives deeper into algorithms, covering fundamental topics like searching, sorting, recursion, and dynamic programming. You’ll learn how to analyze algorithm performance, optimize code, and solve problems faster using Python’s powerful features.
What you will learn in Complete Guide to Python Data Structures & Algorithms Course:
- 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
- Control Flow Functions and Structures
- Introduction to Arrays and Lists
- Array Operations: Accessing Elements, Insertion, Removal
- List Manipulation and Traversal
- Linked List Operations: Insertion, Removal, Traversal
- Performance Analysis 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 Sorting, insertion sort, merge sort, quick sort
- etc…
Course specifications
Publisher: Udemy
Instructors: Logic Labs
Language: English
Level: Introductory to Advanced
Number of Lessons: 32
Duration: 5 hours and 14 minutes
Course topics
Complete Guide to Python Data Structures & Algorithms Course Prerequisites
Basic programming logic and Python programming
Pictures
Complete Guide to Python Data Structures & Algorithms Course introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.4 GB
