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Note: SSD300* and SSD512* are the latest models. Current code should reproduce these results.

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Systems and enterprises (often referred to as systems-of-systems) that employ multiple advanced technologies and achieve ever-higher levels of complexity have become mainstays of the modern world. Managing the complexity of these systems, especially to create solutions to the needs of system users and other stakeholders within acceptable cost and schedule, is a recurring challenge to the Systems Engineering (SE) community. Spectacular progress in mechanical and electronic devices, materials, sensors, energy generation and control, vehicles and propulsion, communications and networking, computing and software, and many other fields creates both new capabilities and new demands for tools and methods to effectively exploit them. Communities as diverse as the sciences, commercial enterprises, education, government, academia, and the military frequently report that programs aimed at delivering new capabilities based on advanced technology have overrun their budgets and schedules, failed to meet their objectives, or simply overwhelmed the capabilities of system developers and users.

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

Machine Learning A Constraint-Based Approach 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除