机器学习经典书目-蜥蜴书，介绍了如何使用scikit-learn和tensorflow等python库实现机器学习，偏向实践而非理论；电子版可做标注。

1、pdf + epub两种格式，排版一致，高清带书签 2、随书源码 3、统一在一个zip包中，解压即可获得

- 将您未使用的 CapsLock 键变成超级英雄 :man_superhero: :rocket: :keyboard: CapsLock 的最小快捷方式，不需要移动手。 超级简单。 没有学习曲线。 所有快捷键都使用 CapsLock 键，即 99% 的程序员不会使用 99% 的时间。 使用静态手，您可以让 CapsLock 将您的键盘变成一个神奇的手位固定键盘。 *与 Vim 用户无关。 单击此处获取。 安装 首先，安装 。 然后： 选项一：只需以管理员身份运行 install.bat 来安装文件（在计算机启动时加载静态手）。 选项二：通过单击 install.exe 安装文件（不会将 Static Hands 移动到启动文件夹）。 选项三：克隆项目，运行 static-hands --> Windows --> run.ahk with AutoHotkey。 每次电脑启动时自动使ahk生效 选择 run.ahk，然后

Hands-on-Machine-Learning-with-Scikit-第二版完整先行版

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

Hands-On Enterprise Automation with Python: Automate common administrative and security tasks with the most popular language Python Invent your own Python scripts to automate your infrastructure Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python. What You Will Learn Understand common automation modules used in Python Develop Python scripts to manage network devices Automate common Linux administration tasks with Ansible and Fabric Managing Linux processes Administrate VMware, OpenStack, and AWS instances with Python Security automation and sharing code on GitHub

yolov5 7中手势识别，detect3.py可以做通信识别(用Qt项目Tcp Socket接收)，detect3.py可以做视频流的识别 项目已做脱皿处理，训练数据已清除，但\yolov5\runs\train\exp2\weights\last.pt为yolov5l6.pt做600次迭代 希望“友商”赶紧跟上！

Hands-On Machine Learning with Scikit-Learn and TensorFlow代码及数据集

原版PDF Hands-On Machine Learning with Scikit-Learn and TensorFlow 不是早期预览版（EAP），而是正式版

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition