Computer Graphics from Scratch demystifies the algorithms used in modern graphics software with basic programming and high school math.

Computer Graphics from Scratch demystifies the algorithms used in modern graphics software with basic programming and high school math.

This book starts with the basics of ethical hacking, how to practice hacking safely and legally, and how to install and interact with Kali Linux and the Linux terminal. You will explore network hacking, where you will see how to test the security of wired and wireless networks. You’ll also learn how to crack the password for any Wi-Fi network (whether it uses WEP, WPA, or WPA2) and spy on the connected devices.Moving on, you will discover how to gain access to remote computer systems using client-side and server-side attacks. You will also get the hang of post-exploitation techniques, including remotely controlling and interacting with the systems that you compromised. Towards the end of the book, you will be able to pick up web application hacking techniques. You'll see how to discover, exploit, and prevent a number of website vulnerabilities, such as XSS and SQL injections.The attacks covered are practical techniques that work against real systems and are purely for educational purposes. At the end of each section, you will learn how to detect, prevent, and secure systems from these attacks.

Want new ideas for your next Raspberry Pi project? Got one lying around gathering dust? This Learning Path gets you straight into the creative dirty work of programming and playing with your pi. Whether your new to Raspberry Pi, or an experienced maker, we think this Learning Path will inspire you and get your creative juices flowing!

This book will provide a solid foundation in how Deep Learning works so that no concept you learn or project you do in the field will seem daunting after this. We will walk the reader through how to implement multi-layer neural networks, implementing convolutional neural networks and recurrent neural networks from scratch. Using these as building blocks, readers will learn to t...(展开全部)

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics...(展开全部)

A practical approach with hands-on recipes to learn more about Scratch and its features.Scratch Cookbook is great for people who are still relatively new to programming but wish to learn more. It assumes you know the basics of computer operation. The methods of using Scratch are worked through quickly with a focus on more advanced topics, though readers can move at their own pace to learn all the techniques they need.

A practical approach with hands-on recipes to learn more about Scratch and its features.Scratch Cookbook is great for people who are still relatively new to programming but wish to learn more. It assumes you know the basics of computer operation. The methods of using Scratch are worked through quickly with a focus on more advanced topics, though readers can move at their own pace to learn all the techniques they need.

Ever wondered how computers turn source code into working software? You can learn the art by building your own mini-compiler. A succinct book walks through a minimal yet complete compiler implementation. Compiles a static-typed language into x64 ELF executables.

Databases are not black boxes. Understand them by coding your own from scratch! A walkthrough of a minimal persistent database implementation. We start with a B-Tree, then add a new concept with each chapter, and eventually go from a simple KV to a mini relational DB. Covers three important topics: 1. Persistence. How not to lose or corrupt your data. Recovering from a crash. 2...(展开全部)