Getting Started with LESS

Less is a CSS pre-processor, meaning that it extends the CSS language, adding features that allow variables, mixins, functions and many other techniques that allow you to make CSS that is more maintainable, themable and extendable.

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COURSE DESCRIPTION

LESS is a CSS pre-processor that enables customizable, manageable and reusable style sheet for website. LESS is a dynamic style sheet language that extends the capability of CSS. LESS is also cross browser friendly.

CSS Preprocessor is a scripting language that extends CSS and gets compiled into regular CSS syntax, so that it can be read by your web browser. It provides functionalities like variablesfunctionsmixins and operations that allow you to build dynamic CSS.

Why LESS?

Let us now understand why do we use LESS.

  • LESS supports creating cleaner, cross-browser friendly CSS faster and easier.
  • LESS is designed in JavaScript and also created to be used in live, which compiles faster than other CSS pre-processors.
  • LESS keeps your code in modular way which is really important by making it readable and easily changeable.
  • Faster maintenance can be achieved by the use of LESS variables.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.

LEARNING OUTCOMES

  • Over 37 lectures and 55.5 hours of content!
  • LIVE PROJECT End to End Software Testing Training Included.
  • Learn Software Testing and Automation basics from a professional trainer from your own desk.
  • Information packed practical training starting from basics to advanced testing techniques.
  • Best suitable for beginners to advanced level users and who learn faster when demonstrated.
  • Course content designed by considering current software testing technology and the job market.
  • Practical assignments at the end of every session.
  • Practical learning experience with live project work and examples.

Course Curriculum

Total learning: 4 lessons Time: 10 weeks

ABOUT INSTRUCTOR

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Keny White

Professor

Keny White is Professor of the Department of Computer Science at Boston University, where he has been since 2004. He also currently serves as Chief Scientist of Guavus, Inc. During 2003-2004 he was a Visiting Associate Professor at the Laboratoire d'Infomatique de Paris VI (LIP6). He received a B.S. from Cornell University in 1992, and an M.S. from the State University of New York at Buffalo.

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