By the end of this project, you will use the python unittest package to create an application using test-driven development (TDD). Test Driven Development or TDD involves writing tests before the python application is implemented. Writing the test before implementing the code means the tests should fail when they are executed, which removes the likelihood of a test returning a false positive result. It also is another means of verifying the code specification, especially if the tests are written by a person or group outside of the core development team. Finally, the tests may be executed every time a code modification occurs to keep the code base in check. 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.

Unity Physics is a great mechanic that simulates real-life physics into a character within a Scene. One entertaining effect in some games is the "ragdoll" effect, usually activated when a player or NPC dies or is thrown into the air. Traditionally, it is a complicated matter to set up a ragdoll, but Unity has created a Ragdoll Wizard that makes the process quite straightforward. In this one-hour, project-based course, you will create a ragdoll pirate that flops in a heap, to the delight of the players of your game! You'll learn about the basics of Unity's Ragdoll Wizard, including configuring colliders, joints and physic materials for a more-realistic Ragdoll effect. You'll also learn the C# code required to toggle the effect with a key-press. The guided project will introduce you to the following Unity concepts: -Ragdoll Wizard -Physics Debugger -Collider -Character Joint -Physic Material -Basic C#

This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data. Specifically, students will do assignments that alter table schemas, create stored procedures, construct advanced queries, explore sorting and grouping query data, and techniques for working with text in databases including regular expressions.

In this 2-hour long project-based course, you will learn how to deploy TensorFlow models using TensorFlow Serving and Docker, and you will create a simple web application with Flask which will serve as an interface to get predictions from the served TensorFlow model. 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 Python, TensorFlow, Flask, and HTML. 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.

Learners will create a portfolio showcasing their UI/UX projects and deploy it to GitHub. Creating a strong portfolio showcases not only their skills as a designer, but also their perseverance to learn some new skills outside the typical purview of a designer (in this case, coding languages HTML and CSS, and Microsoft’s Visual Studio Code).

Code and run your first python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover lists, strings, and files. Completion of Python Basics: Selection and Iteration before taking this course is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn more about the basics of Dart. Build on your knowledge of Dart development

By the end of this course you will be able to incorporate state management with useContext and useReducer in a Typescript React application. We will start by revisiting React concepts of useReducer and useContext so we can better focus on the Typescript concepts and behaviours. This course is aimed at developers who are familiar with Typescript and understand the basics and would like to have some more experience, especially using some of the more advanced state management patterns in React. We will recap the React concepts We simplify these concepts and then use repetition to actually use these types in real React components.

In this 1.5 hours class you will get up and running on AngularJS and write your first AngularJS app. We will cover the fundamentals of AngularJS, such as modules, the model-controller-view architecture, AngularJS directives, expressions, data model and binding, app controllers, filters, form validation, and tables. At the end of the class, you would have learned the basics of AngularJS and have built a bill splitter app that you can actually use when you go out with your friends! Prerequisite: Basic knowledge of JavaScript, HTML, and CSS.

In this MOOC, we will learn the basic concepts and principles of crytography, apply basic cryptoanalysis to decrypt messages encrypted with mono-alphabetic substitution cipher, and discuss the strongest encryption technique of the one-time-pad and related quantum key distribution systems. We will also learn the efficient symmetric key cryptography algorithms for encrypting data, discuss the DES and AES standards, study the criteria for selecting AES standard, present the block cipher operating modes and discuss how they can prevent and detect the block swapping attacks, and examine how to defend against replay attacks. We will learn the Diffie-Hellman Symmetric Key Exchange Protocol to generate a symmetric key for two parties to communicate over insecure channel. We will learn the modular arithmetic and the Euler Totient Theorem to appreciate the RSA Asymmetric Crypto Algorithm, and use OpenSSL utility to realize the basic operations of RSA Crypto Algorithm. Armed with these knowledge, we learn how to use PHP Crypto API to write secure programs for encrypting and decrypting documents and for signing and verify documents. We then apply these techniques to enhance the registration process of a web site which ensures the account created is actually requested by the owner of the email account.