Engineering Software as a Service: An Agile Approach Using Cloud Computing By 作者: Armando Fox – David Patterson ISBN-10 书号: 0984881247 ISBN-13 书号: 9780984881246 Edition 版本: 1st 出版日期: 2013-04-16 pages 页数: 546 Awarded “Most Promising New Textbook” for 2016 by the Textbook & Academic Authors Association A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book’s content and adds programming assignments and quizzes. See saasbook.info for details.

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib By 作者: Robert Johansson ISBN-10 书号: 1484242459 ISBN-13 书号: 9781484242452 Edition 版本: 2nd ed. 出版日期: 2018-12-25 pages 页数: (700 ) Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Cover Front Matter 1. Introduction to Computing with Python 2. Vectors, Matrices, and Multidimensional Arrays 3. Symbolic Computing 4. Plotting and Visualization 5. Equation Solving 6. Optimization 7. Interpolation 8. Integration 9. Ordinary Differential Equations 10. Sparse Matrices and Graphs 11. Partial Differential Equations 12. Data Processing and Analysis 13. Statistics 14. Statistical Modeling 15. Machine Learning 16. Bayesian Statistics 17. Sinal Processing 18. Data Input and Output 19. Code Optimization

a very good book for GPU systems, can let you know most advanced techniques for system development.

Edge Computing From Hype to Reality，2019年新书，全面介绍了边缘计算的概念和应用。

Noam Nisan and Shimon Schocken 的 The Elements of Computing Systems， 这里是中文版和英文版两个，从与非门讲起，介绍整个计算机的构成， 对于计算机体系结构，cpu架构等有兴趣的同学可以看看

Computers as Components.Principles of Embedded Computing System Design

Introduction to Computing Systems 2nd edition TCSS 371

Focusing on implementation rather than theory, 'Statistical Computing with R' serves as a valuable tutorial, providing examples that illustrate programming concepts in the context of practical computational problems. This book presents an overview of computational statistics with an introduction to the R computing environment. Reviewing basic concepts in probability and classical statistical inference, the text demonstrates every algorithm through fully implemented examples coded in R. Chapters cover topics such as Monte Carlo methods, clustering, bootstrap, nonparametric regression, density estimation, and goodness-of-fit. Many exercises are included for the students while a solutions manual is included for the instructor.

CS3621 Introduction to Computing with Geometry Notes

OpenStack Cloud Computing Cookbook, 3rd Edition