书籍推荐
- 书籍来源：通过知名出版商或教育网站获取。
- 推荐书籍：
- "Python编程基础" by John Zelle
- "编程导论" by Robert Sedgewick
- "数据科学入门" by Nils Carstensen
- "编程挑战" by Alex S. Kritchevsky
- "编程入门" by John Zelle
在线课程推荐
- 课程平台：
- Coursera: "Introduction to Programming" by University of Pennsylvania
- Udemy: "Web Development" Specialization
- edX: "Introduction to Computer Science" by MIT
- Khan Academy: "Programming Fundamentals"
- Coursera: "Introduction to Data Science" by IBM
文档推荐
- 开源文档：
- Apache Commons Math
- Apache Commons Lang
- Apache Commons CS1
- Apache CS1 Project
- Apache CS2 Project
视频推荐
- 资源来源：
- YouTube: "The Complete Python Data Science Course"
- Udemy: "Complete Python for Data Science"
- FlippedMathematics: "Precalculus" video lectures
- BetterExplained: "The Intuition behind Calculus"
- Codecademy: "Introduction to Python"
学术论文推荐
- 知名论文：
- "Deep Learning" by Goodfellow et al.
- "Reinforcement Learning" by Szepesvári et al.
- "Deep Learning with Python" by(peep)
- "Introduction to Algorithms" by Thomas H. Cormen
其他资源推荐
- 在线考试资源：
- Coursera: "Introduction to Calculus" by University of Sydney
- EdX: "Introduction to Algebra" by University of New South Wales
- 在线测试平台：
- examsolutions.com
- onlineexamguru.com
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存储与分享
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