For courses in Computer Science and Programming Computer systems: A Programmer’s Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer’s perspective, this book strives to teach students how understanding basic elements of computer systems and executing real practice can lead them to create better programs. Spanning across computer science themes such as hardware architecture, the operating system, and systems software, the Third Edition serves as a comprehensive introduction to programming. This book strives to create programmers who understand all elements of computer systems and will be able to engage in any application of the field–from fixing faulty software, to writing more capable programs, to avoiding common flaws. It lays the groundwork for students to delve into more intensive topics such as computer architecture, embedded systems, and cybersecurity. This book focuses on systems that execute an x86-64 machine code, and recommends that students have access to a Linux system for this course. Students should have basic familiarity with C or C++.

3rd Edition - Probability, Random Variables and Stochastic

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Pro Python 3, 3rd Edition (2019 Apress出版) Features and Tools for Professional Development Pro Python 3, 3rd Edition Author: J. Burton Browning, Marty Alchin ISBN-10: 1484243846 Year: 2019 Pages: 480 Language: English File size: 6 MB File format: PDF, ePub Category: Python Book Description: Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy. Pro Python 3, Third Edition gives you the tools to write clean, innovative code. It starts with a review of some core Python principles, which are illustrated by various concepts and examples later in the book. The first half of the book explores aspects of functions, classes, protocols, and strings, describing techniques which may not be common knowledge, but which together form a solid foundation. Later chapters cover documentation, testing, and app distribution. Along the way, you’ll develop a complex Python framework that incorporates ideas learned throughout the book. Updates in this edition include the role of iterators in Python 3, web scraping with Scrapy and BeautifulSoup, using Requests to call web pages without strings, new tools for distribution and installation, and much more. By the end of the book you’ll be ready to deploy uncommon features that can take your skills to the next level in Python. What You’ll Learn Implement programs with various types of Python functions Work with classes and object-oriented programming Use strings from the standard library and third-party libraries Harvest web site data with Python Automate unit testing by writing a test suite Review imaging, random number generation, and NumPy scientific extensions Understand The Zen of Python documentation to help you decide the best way to distribute your code Who This Book Is For Intermediate programmers familiar with Python who are looking to move to an advanced level. You should have written at least a simple Python application, and be comfortable with a basic object-oriented approach, using the interactive interpreter, and writing control structures.

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A. 基本訊號與系統 1. Discrete-time (DT) signal and system 2. LTI system 3. DT Fourier transform　 B. Z轉換 1. Z-transform 2. Region of convergence 3. Inverse Z-transform　 C. 取樣分析 1. Periodic sampling 2. Signal reconstruction 3. Discrete-time processing　 D. 多率系統 1. Changing the sampling rate 2. Multirate signal processing 3. Oversampling and noise shaping　 E. 頻域分析 1. Frequency responses of LTI systems 2. All-pass systems 3. Minimum-phase and linear-phase systems　 F. 數字系統架構 1. Structures for IIR and FIR systems 2. Lattice filter 3. Quantization effect 4. Round-off noise effect 　 G. 濾波器設計 1. IIR filter design 2. FIR filter design 3. Optimal filter design　 H. 離散傅立業轉換 1. Discrete Fourier series 2. Discrete Fourier transform (DFT) 3. Linear convolution using DFT　 4. The discrete cosine transform (DCT)　 I. 快速傅立業轉換 1. Decimation-in-time FFT 2. Decimation-in-freq. FFT 3. Convolution approach　 　

Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times , the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.

Programming Python, 3rd Edition By Mark Lutz