This course focuses on the theories behind web fonts: what makes a good font, why different fonts look the way they do, and how fonts affect the look of a web page. Author Laura Franz covers common tasks, including downloading a font from an online source such as Typekit or Font Squirrel, implementing the font in HTML and CSS, and changing the size and line-height to improve the readability of text. The course also covers different periods of type design and explores the history behind handwritten fonts, text fonts (used for large amounts of text), and display fonts (used for headlines).
In this Turning a Design into HTML Code and Using CSS video, we’ll cover how to determine structural elements needed to turn a design into a webpage, how to use a visual design to plan out the other HTML elements needed in that page, and how to code a webpage based on a visual design. We’ll also cover the syntax of CSS, type or element selectors, class selectors, ID selectors, descendant selectors, CSS specificity, and how to attach a CSS file to your HTML page.
xplore how to build websites using HTML, CSS and jQuery. Step by step guide to how websites are built from scratch
A practical guide to building an interactive and fully-featured web application from scratch with Node.js and MongoDB.
You've tried to figure out what all those technical terms are all about (WTF is a reducer??) and you may even be convinced that you need a degree in Computer Science to be able to use Redux. You don't.
Welcome to the world's most comprehensive course on iOS development. This course is designed like an in-person coding bootcamp to give you the most amount of content and help with the least amount of cost.
If you need to understand how to query relational databases, this Learning Path will get you up and running quickly. Commands, joins, and views are the most fundamental elements of SQL (Structured Query Language) and with them you can make powerful insights into your data. In the just an hour and a half, you will learn how to use SQL to manage data that is held in relational databases. This Learning Path is designed for beginners who have no previous experience with SQL of any kind. Working files are included, allowing you to follow along with the instructor.
Whether you’re a programmer with little to no knowledge of Python, or an experienced data scientist or engineer, this Learning Path will walk you through natural language processing, using both Python and Scala, and show you how to implement a range of popular tools including Spark, scikit-learn, SpaCy, NLTK, and gensim for text mining.