Advantages of electronic data structure
Electronic version of data structure: a powerful tool for learning, organizing and sharingWith the development of science and technology, paper books are gradually replaced by electronic versions. As an important foundation of computer science, data structure naturally has a wealth of electronic resources. Electronic data structure textbooks, notes, video tutorials, etc. provide learners with a more convenient and flexible way of learning.Strong portability: E-books can be read anytime and anywhere, no longerWhatsapp Numberlimited by the weight and inconvenience of carrying paper books.
Convenient search: Through keyword search, you can quickly locate the required content and improve learning efficiency.
Strong interactivity: Some e-books support functions such as notes, bookmarks, and highlighting, which facilitates learners to conduct personalized learning.
Rich resources: There are a large number of free or paid electronic data structure textbooks, notes, video tutorials, etc. on the Internet, with a variety of choices.
How to obtain high-quality electronic data structure materials
Recommended electronic data structure textbooks
"Data Structure (C Language Edition)" Yan Weimin, Wu Weimin: classic textbook, comprehensive content, detailed explanation.
"Introduction to Algorithms" Thomas H. Cormen: a classic book on algorithm design and analysis, including a large number of data structure analyses.
"Data Structure and Algorithm Analysis: C Language Description" Mark Allen Weiss: Focus on algorithm analysis, clear code implementation.
"Algorithms" Robert Sedgewick: Based on Java language, the explanation is simple and easy to understand.
How to make an efficient electronic data structure notebook
https://lh7-rt.googleusercontent.com/docsz/AD_4nXe7x1ObXHFjFb8_LjvlOdBrHU7yoVWpJ1PlftlPXH1cdWns_4MgOQKnY8XbdtOHAZOWU1y4mX5SwBM5cRpYm9xR-tlqrJ198kv4RGx40UpuFGV3AmP-xUOv9eu5vyAK09W_cLv27wfb6E8WtkkTTJGNSC37?key=JABsRxdG7bAie01QMYJ4Iw
Clear structure: Divide into blocks according to chapters and knowledge points, and use directories, titles, etc. for hierarchical division.
Content refinement: Extract key points and difficulties, and avoid redundant information.
Graphics and text: Use charts and code examples to enhance understanding.
Mind map: Use mind map software to visualize knowledge points and help build a knowledge system.
Code snippets: Extract key codes for easy review and practice.
Platform for sharing electronic notes on data structures
Personal blog: Create a personal blog to share your learning experience and notes.
GitHub: Upload notes to GitHub for others to view and contribute.
CSDN: Post notes on the CSDN blog to communicate with other developers.
Zhihu: Answer related questions on Zhihu and share your experience.
页:
[1]