Starting Out with Python, Global Edition By 作者: Tony Gaddis (author) ISBN-10 书号: 1292225750 ISBN-13 书号: 9781292225753 Edition 版本: 4th edition 出版日期: 2018-04-20 Pages: 748 For courses in Python programming. A clear and student-friendly introduction to the fundamentals of Python In Starting Out with Python, 4th Edition, Tony Gaddis’ accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices. With the knowledge acquired using Python, students gain confidence in their skills and learn to recognize the logic behind developing high-quality programs. Starting Out with Python discusses control structures, functions, arrays, and pointers before objects and classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, focused explanations, and an abundance of exercises appear in every chapter. Updates to the 4th Edition include revised, improved problems throughout, and new Turtle Graphics sections that provide flexibility as assignable, optional material. Preface Chapter 1 Introduction to Computers and Programming Chapter 2 Input,Processing,and Output Chapter 3 Decision Structures and Boolean Logic Chapter 4 Repetition Structures Chapter 5 Functions Chapter 6 Files and Exceptions Chapter 7 Lists and Tuples Chapter 8 More About Strings Chapter 9 Dictionaries and Sets Chapter 10 Classes and Object-Oriented Programming Chapter 11 Inheritance Chapter 12 Recursion Chapter 13 GUl Programming Appendix A Instaling Python Appendix B Introduction to IDLE Appendix C The ASCll Character Set Appendix D Predefined Named Colors Appendix E More About the import Statement Appendix F Installing Modules with the pip Utility Appendix G Answers to Checkpoints

《Thinking in Java》 4th Edition，配套习题答案，帮您理解技术细节。

The original purpose of the book was to present a unified theoretical and conceptual framework for statistical modelling in a way that was accessible to undergraduate students and researchers in other fields. The second edition was expanded to include nominal and ordinal logistic regression, survival analysis and analysis of longitudinal and clustered data. It relied more on numerical methods, visualizing numerical optimization and graphical methods for exploratory data analysis and checking model fit. The third edition added three chapters on Bayesian analysis for general- ized linear models. To help with the practical application of generalized linear models, Stata, R and WinBUGS code were added. This fourth edition includes new sections on the common problems of model selection and non-linear associations. Non-linear associations have a long history in statistics as the first application of the least squares method was when Gauss correctly predicted the non-linear orbit of an asteroid in 1801. Statistical methods are essential for many fields of research, but a widespread lack of knowledge of their correct application is creating inaccu- rate results. Untrustworthy results undermine the scientific process of using data to make inferences and inform decisions. There are established practices for creating reproducible results which are covered in a new Postface to this edition.

The definitive textbook and professional reference on Kalman Filtering - fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.

Beginning PHP and MySQL: From Novice to Professional, Fourth Edition is a major update of W. Jason Gilmore's authoritative book on PHP and MySQL. The fourth edition includes complete coverage of PHP 5.3 features, including namespacing, an update of AMP stack installation and configuration, updates t

自适应滤波算法与实现(第四版)，英文版，Paulo S. R. Diniz，2013

一本经典的模式识别教材，2009年最新第四版

Real-Time Rendering 4th Edition完整版 全彩 pdf 892MB 这里挂的是百度云链接

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MATLAB: A Practical Introduction to Programming and Problem Solving (4th Edition) by Stormy Attaway English | 2016 | ISBN: 0128045256 | 600 pages MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. Presents programming concepts and MATLAB built-in functions side-by-side Offers a systematic, step-by-step approach, building on concepts throughout the book and facilitating easier learning Includes sections on common pitfalls and programming guidelines to direct students toward best practices Combines basic programming concepts, built-in functions, and advanced topics for problem solving with MATLAB to make this book uniquely suitable for a wide range of courses teaching or using MATLAB across the curriculum