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Create a custom JavaScript Car racer game from scratch using only JavaScript - Practice Exercises.

About This Video: Build a fully functional racing game from scratch. Accelerate your web pages with Google Sheet, Docs and Slides.

In Detail: Have you ever wanted to build amazing and interactive games? If yes, then this course is perfect for you. A basic knowledge of JavaScript is desirable as the course covers only JavaScript relevant to building a game. Also, HTML and CSS knowledge is essential as the scope of this course focuses entirely on JavaScript. The course is designed to teach you to use JavaScript. We cover the following:- Learn how to set up your gameplay area using HTML and CSS Add JavaScript setting event listeners Add keyboard actions to move an HTML div using keyboard arrow keys. Run AnimationFrame() to change element position and respond to the user's commands Set up and start game functionality. Create a dynamic JavaScript road. Create elements within JavaScript Access the JavaScript Document Object Model to manipulate element properties. Set up and add values within an object to track location and movement. Set up a dashboard to output variables for the user such as the score and speed. Add road movement. Track speed dynamically with braking and accelerating. Add other cars and have them move within the gameplay area. Check for element overlap and detect collisions. Score and extend gameplay. Practicability is the key to this course. Using JavaScript, you have a wide variety of options whereby you can take the code provided within this course and expand it in any number of directions. Learn, practice, and create your own interactive game.

Explore Python’s powerful tools for extracting data from images and videos.

About This Video: Build powerful computer vision tools in Python with clear and concise code. Discover deep learning methods that can be applied to a wide variety of problems in computer vision. Crisp videos that take you directly to a practical approach to solving real-world examples.

In Detail: The Python programming language is an ideal platform for rapidly prototyping and developing production-grade codes for image processing and computer vision with its robust syntax and wealth of powerful libraries. This video course will start by showing you how to set up Anaconda Python for the major OSes with cutting-edge third-party libraries for computer vision. You’ll learn state-of-the-art techniques to classify images and find and identify humans within videos.Next, you’ll understand how to set up Anaconda Python 3 for the major OSes (Windows, Mac, and Linux) and augment it with the powerful vision and machine learning tools OpenCV and TensorFlow, as well as Dlib. You’ll be taken through the handwritten digits classifier and then move on to detecting facial features and finally develop a general image classifier. By the end of this course, you’ll know the basic tools of computer vision and be able to put it into practice. The code bundle for this video course is available at - https://github.com/PacktPublishing/Computer-Vision-Projects-with-Python-3