Linux/Unix系统编程手册的源代码，修复了自己修复了官方190930版本的一个小bug。 如果出现其他问题，希望到我的博客下面反馈。

audio_book_第一季

audio_book_第一季

audio_book(三)

Title: BeagleBone Cookbook: Software and Hardware Problems and Solutions Author: Jason Kridner, Mark A. Yoder Length: 346 pages Edition: 1 Language: English Publisher: O'Reilly Media Publication Date: 2015-04-25 ISBN-10: 1491905395 ISBN-13: 9781491905395 BeagleBone is an inexpensive web server, Linux desktop, and electronics hub that includes all the tools you need to create your own projects—whether it’s robotics, gaming, drones, or software-defined radio. If you’re new to BeagleBone Black, or want to explore more of its capabilities, this cookbook provides scores of recipes for connecting and talking to the physical world with this credit-card-sized computer. All you need is minimal familiarity with computer programming and electronics. Each recipe includes clear and simple wiring diagrams and example code to get you started. If you don’t know what BeagleBone Black is, you might decide to get one after scanning these recipes. Learn how to use BeagleBone to interact with the physical world Connect force, light, and distance sensors Spin servo motors, stepper motors, and DC motors Flash single LEDs, strings of LEDs, and matrices of LEDs Manage real-time input/output (I/O) Work at the Linux I/O level with shell commands, Python, and C Compile and install Linux kernels Work at a high level with JavaScript and the BoneScript library Expand BeagleBone’s functionality by adding capes Explore the Internet of Things Table of Contents Chapter 1. Basics Chapter 2. Sensors Chapter 3. Displays and Other Outputs Chapter 4. Motors Chapter 5. Beyond the Basics Chapter 6. Internet of Things Chapter 7. The Kernel Chapter 8. Real-Time I/O Chapter 9. Capes

Table of Contents What Is Subversion? Is Subversion the Right Tool? Subversion's History Subversion's Architecture Subversion's Components What's New in Subversion Audience How to Read This Book Organization of This Book This Book Is Free Acknowledgments 1. Fundamental Concepts 2. Basic Usage 3. Advanced Topics 4. Branching and Merging 5. Repository Administration 6. Server Configuration 7. Customizing Your Subversion Experience 8. Embedding Subversion 9. Subversion Complete Reference

logistic_regression 回归处理预测模型技术。 它显示了独立变量（也称为预测变量）或因变量或目标值之间的关系。 当输出为分类格式（例如yes / no，1或0，true或false，高或低）时，将进行逻辑回归。 与线性回归一样，我们获得的输出值在较大范围内，但对于分类输出，其输出值应介于1到0之间，因此，线性回归曲线应限制在1到o之间，这是使用逻辑回归执行的，为此，我们使用asigmod功能。 阈值的概念：用于确定输出值（在o和1之间）是否四舍五入以给出输出为0（低）还是1（高）。 阈值（0.5）和1之间的输出值四舍五入为1，低于阈值的值四舍五入为0。 对数似然的概念：使用线性回归的概念： 将上述值放在S型方程中： 现在，通过从伯纳利的特征中获得启发，我们找到了对数似然函数并将其微分，从而找到了梯度上升更新方程。 因此，可能性定义为： 对数似然变为：

汽车预订系统 这是我在tkinter for gui的帮助下用python设计的简单的汽车预订系统。

Comprehensive Handbook of Chemical Bond Energies 0849373662

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