Advanced Swift 4 Design Patterns with Reactive Programming with RxSwift.
From installation and project creation to writing tests with JUnit, Mockito, and Hamcrest, this course will cover all the important concepts that you need to get up and running with unit testing.
Current legislation set out by the Health and Safety at Work Act along with the HSE’s updated code of practice known as L8, state that companies and building owners have a legal duty to manage Legionella. Our interactive training course is aimed at all employers and staff to assist them in identifying the danger that Legionella poses, as well as covering ways to identify and assess sources of risk from Legionella on the premises. It also gives you enough knowledge to get a Legionella control programme off the ground yourself – or make confident, informed choices when commissioning others to take this on for you.
Explore using JavaScript XHR and fetch to connect to multiple web API endpoints retrieve JSON data and update HTML
Is this course for you? Looking to upgrade your React 17 applications to React 18? Are you working with React already? Then sooner or later, you will need to upgrade to React 18. New to React and curious to know how React is different from libraries such as Vue? This course will explain the importance of concurrent rendering to you. A beginner-friendly course in React.
This course is for absolute beginners to programming. In this course, you'll learn the foundation of programming and build your skill to become a Rust programmer. We'll start by building the Rust programming foundation and then implement our learning in a simple Rust project. No previous programming experience required.
A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.
Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python
In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.