Python Crash Course is a fast-paced, thorough introduction to programming with Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses Work with data to generate interactive visualizations Create and customize simple web apps and deploy them safely online Deal with mistakes and errors so you can solve your own programming problems If you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Table of Contents Part I: Basics Chapter 1: Getting Started Chapter 2: Variables and Simple Data Types Chapter 3: Introducing Lists Chapter 4: Working with Lists Chapter 5: if Statements Chapter 6: Dictionaries Chapter 7: User Input and while Loops Chapter 8: Functions Chapter 9: Classes Chapter 10: Files and Exceptions Chapter 11: Testing Your Code Part II: Projects Project 1: Alien Invasion Project 2: Data Visualization Project 3: Web Applications Appendix A: Installing Python Appendix B: Text Editors Appendix C: Getting Help Appendix D: Using Git for Version Control

Part I Basic Concepts 1 The Nature of Hardware and Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1 Introducing Hardware/Software Codesign .. . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 Hardware .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 Software .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.1.3 Hardware and Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.1.4 Defining Hardware/Software Codesign . . . . . . . . . . . . . . . . . . . . . 11 1.2 The Quest for Energy Efficiency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.1 Relative Performance .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.2 Energy Efficiency .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.3 The Driving Factors in Hardware/Software Codesign.. . . . . . . . . . . . . . . 15 1.4 The Hardware–Software Codesign Space. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.4.1 The Platform Design Space . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.4.2 Application Mapping .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.5 The Dualism of Hardware Design and Software Design .. . . . . . . . . . . . 20 1.6 More on Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.6.1 Abstraction Levels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.7 Concurrency and Parallelism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 1.8 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

稳态视觉诱发电位脑机接口算法介绍，分为相关分析(CCA)及任务相关成分分析(TRCA),这是寻找空间滤波器的算法

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