By the end of this project, you will extract email text data from a file using a regular expression in a Java program. Java is a widely used programming language largely because of its versatility. One of the Developer tools often needed is file data extraction and Java contains methods to handle that task. For example, email files containing email addresses can often be difficult to analyze because of extraneous data. Error log files may also be more easily analyzed by matching specific data fields. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will install Agones on a Kubernetes cluster, then create a simple UDP game server with Agones.

This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs. By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability). Why take this course? • It is important for you to be aware of the theoretical foundations of concurrency to avoid common but subtle programming errors. • Java 8 has modernized many of the concurrency constructs since the early days of threads and locks. • During the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. The desired learning outcomes of this course are as follows: • Concurrency theory: progress guarantees, deadlock, livelock, starvation, linearizability • Use of threads and structured/unstructured locks in Java • Atomic variables and isolation • Optimistic concurrency and concurrent collections in Java (e.g., concurrent queues, concurrent hashmaps) • Actor model in Java Mastery of these concepts will enable you to immediately apply them in the context of concurrent Java programs, and will also help you master other concurrent programming system that you may encounter in the future (e.g., POSIX threads, .NET threads).

If you love games and want to learn how to make them, then this course is your third step down that path. In this course you will learn the fundamentals of game design, including an understanding of level design, game balancing, prototyping, and playtesting, as well as game asset creation techniques. You will continue developing video games using industry standard game development tools, including the Unity 2020 game engine. At the end of the course you will have completed a 3D First-Person Shooter game, and will be able to leverage an array of game development techniques to create your own basic games.

In this 1-hour long project-based course, you will learn how to set up Google Analytics for web sites and particularly for single-page web applications/websites. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This course introduces administrative tasks that a system administrator can perform with Linux hosted on IBM Power servers. This includes virtualization concepts such as logical partitioning, installation of Linux, command-line operations, and more interesting administration and device management tasks. This course includes hands-on exercises with systems from an IBM data center.

This course is primarily aimed at cloud professionals who are interested in learning about Tencent Cloud's products and services. It equips learners with a foundational knowledge in cloud computing and prepares them to take the Tencent Cloud Practitioner examination. After completing this course, learners will be able to explain the different features, advantages, uses cases, and billing methods of several core Tencent Cloud products.

Learn to program with ArrayLists and 2-D Arrays in Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. This course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course. We'll cover the Java concepts of ArrayLists and 2-dimensional arrays, as covered in the APCS A Units 7 and 8. Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students. You'll engage with additional materials to support your teaching including "deep dive" classroom discussion questions, assessment overviews, code tracing and problem solving skills for your students, including preparation for free response coding questions.

In this 1 hour guided project, you will learn how to configure your IDE (integrated development environment) with Visual Studio Code. This project was designed with beginners in mind. You do not need extensive development knowledge to follow along. Although we will set up a development environment for various programming languages. However, you can apply the same principle to set up for other languages. We will only focus on configuring Visual Studio Code and NOT the particulars writing code.

In this lesson we will built this Support Vector Machine for classification using scikit-learn and the Radial Basis Function (RBF) Kernel. Our training data set contains continuous and categorical data from the UCI Machine Learning Repository to predict whether or not a patient has heart disease. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with programming in Python and the concepts behind Support Vector Machines, the Radial Basis Function, Regularization, Cross Validation and Confusion Matrices. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.