Enroll Course: https://www.udemy.com/course/pythondsa/
Embarking on a journey into the world of programming often leads to the crucial concepts of data structures and algorithms. For those new to coding or looking to solidify their Python foundation, the Udemy course ‘เรียน Python Data Structures and Algorithms ฉบับปูพื้นฐาน’ (Learn Python Data Structures and Algorithms: A Fundamental Edition) is an exceptional starting point.
This course is meticulously designed for absolute beginners, meaning you don’t need any prior programming experience to dive in. The instructor breaks down complex topics into digestible segments, making learning accessible and engaging. The curriculum is structured into 14 comprehensive parts, covering a wide array of essential data structures and algorithms.
The course begins with ‘Recursions in Python,’ introducing the power of self-referential programming through various exercises like calculating factorials and understanding the Fibonacci sequence. Following this, it delves into fundamental linear data structures: ‘Stacks in Python,’ ‘Queues in Python,’ and ‘Deque in Python.’ You’ll learn how to implement these using Python’s built-in list functions and also by creating your own classes, which provides a deeper understanding of their underlying mechanics. Practical applications, such as converting decimal numbers to binary using stacks, are also covered.
Moving beyond linear structures, the course explores ‘Linked Lists in Python,’ detailing singly, doubly, and circular linked lists, along with the crucial concept of Big O Notation for analyzing algorithm efficiency. ‘Trees in Python’ follows, explaining tree data structures, their applications, binary trees, and binary search trees, along with traversal methods. The course also covers ‘Graph in Python,’ including graph data structures, their applications, and common search algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS).
What truly sets this course apart is its extensive ‘ตะลุยโจทย์’ (problem-solving practice) sections. These sections are dedicated to reinforcing the concepts learned through numerous Python exercises. You’ll find practice problems for Recursion, Arrays, Stacks, Queues, Deques, Linked Lists, and Trees. This hands-on approach is invaluable for solidifying your understanding and building confidence in applying these concepts.
**Why I Recommend This Course:**
* **Beginner-Friendly:** The course truly lives up to its promise of being suitable for those with no prior coding experience.
* **Comprehensive Coverage:** It covers a broad spectrum of essential data structures and algorithms.
* **Practical Exercises:** The abundance of coding exercises and problem-solving sections ensures you actively learn and apply the material.
* **Clear Explanations:** The instructor’s explanations are clear and easy to follow, even for complex topics.
* **Strong Foundation:** It provides a robust foundation for anyone looking to pursue further studies in computer science, software development, or data science.
If you’re looking to build a solid understanding of data structures and algorithms in Python, this course is a highly recommended investment in your learning journey.
Enroll Course: https://www.udemy.com/course/pythondsa/