Al Sweigart 加利福尼亚州旧金山的一名软件开发者。他很喜欢骑自行车、当志愿者、泡咖啡吧以及制作有用的软件。《Making Games with Python & Pygame》是他编写的第二本书。他的另一本书是《Invent Your Own Computer Games with Python》。他生于德克萨斯的休斯顿。他在德克萨斯大学Austin分校读完了计算机科学学位。

“Invent Your Own Computer Games with Python” teaches you computer programming in the Python programming language. Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples. “Invent with Python” was written to be understandable by kids as young as 10 to 12 years old, although it is great for anyone of any age who has ...(展开全部)

Computer games are one of the most exciting and rapidly evolving media of our time. Revenues from console and computer games have now overtaken those from Hollywood movies; and online gaming is one of the fastest-growing areas of the internet. Games are no longer just kids' stuff: the majority of players are now adults, and the market is constantly broadening. The visual style ...(展开全部)

This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV’s application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV.

In Programming Your Home, technology enthusiast Mike Riley walks you through a variety of custom home automation projects, ranging from a phone application that alerts you to package deliveries at your front door to an electronic guard dog that will prevent unwanted visitors. Open locked doors using your smartphone. Assemble a bird feeder that posts Twitter tweets to tell you w...(展开全部)

In Programming Your Home, technology enthusiast Mike Riley walks you through a variety of custom home automation projects, ranging from a phone application that alerts you to package deliveries at your front door to an electronic guard dog that will prevent unwanted visitors. Open locked doors using your smartphone. Assemble a bird feeder that posts Twitter tweets to tell you w...(展开全部)

The authors provide an analysis of computer games as the most popular contemporary form of new media production and consumption, and examine their impact on established frameworks and concepts within cultural and media studies.

Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow.By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.

Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow.By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.