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Data structure and algorithm learning suggestions

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發表於 2024-9-24 13:42:38 | 顯示全部樓層 |閱讀模式
Teacher Zhang Ming's specific identity: Is he a university professor, a lecturer at a training institution, or something else?
Course hosting organization or platform: Which school, institution, or online platform is the course offered on?
Specific content of the course: What data Email List structures and algorithms are mainly covered?
What aspects do you want to know: Is it the course difficulty, teaching style, learning effect, or other aspects?
While waiting for you to provide more information, I can provide you with some general suggestions on learning data structures and algorithms:


No matter which teacher's course you choose, learning data structures and algorithms is inseparable from the following aspects:
Basic knowledge: A solid programming foundation is the prerequisite for learning data structures and algorithms.
Theoretical learning: Understand the definitions, characteristics, and applicable scenarios of various data structures, and master the design ideas and implementation steps of algorithms.
Practical exercises: Consolidate theoretical knowledge and improve programming skills through a large number of programming exercises.
Algorithm analysis: Understand the time complexity and space complexity of the algorithm, and learn to analyze the efficiency of the algorithm.
How to choose a course that suits you



Course content: Is the course content comprehensive and systematic, and does it cover the data structures and algorithms you want to learn?
Teaching method: Is the teacher's teaching style suitable for you? Does the teacher have rich teaching experience?
Learning atmosphere: Does the course have a good learning atmosphere? Is there a discussion area or Q&A session?
Learning effect: Understand the learning effect of previous students and whether it has a good reputation.
Common learning resources

Textbook: "Data Structure" edited by Yan Weimin and Wu Weimin
Online courses: Relevant courses on platforms such as Coursera, edX, MOOC, and Bilibili
Algorithm practice websites: LeetCode, Likou, Codewars, etc.
Open source projects: There are many excellent algorithm implementations on GitHub

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