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Coursera - "Compilers" by Stanford VS Don't Make Me Think

Compare Coursera - "Compilers" by Stanford VS Don't Make Me Think and see what are their differences

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Coursera - "Compilers" by Stanford logo Coursera - "Compilers" by Stanford

The course explores how high-level languages are compiled to low-level assembly.

Don't Make Me Think logo Don't Make Me Think

Originally written in 2000, Don't Make Me Think is one of the original books on web design and usability. Although it's been around for a while, the goals and lessons of the book are universal and apply to websites today.
  • Coursera - "Compilers" by Stanford Landing page
    Landing page //
    2023-10-07
  • Don't Make Me Think Landing page
    Landing page //
    2023-09-24

Category Popularity

0-100% (relative to Coursera - "Compilers" by Stanford and Don't Make Me Think)

Coursera - "Compilers" by Stanford

Don't Make Me Think

Online Learning
56 56%
Online Learning
44% 44
Education
56 56%
Education
44% 44
LMS
56 56%
LMS
44% 44
Design
0 0%
Design
100% 100

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What are some alternatives?

When comparing Coursera - "Compilers" by Stanford and Don't Make Me Think, you can also consider the following products

The Design of Everyday Things - A timeless book, The Design of Everyday Things explores the fundamentalprinciples behind all design, and how to understand the psychology behind how we use things, and why they frustrate us.

CS50x - HarvardX (edX) - An introduction to the intellectual enterprises of computer science and the art of programming.

The Elements of Typographic Style - The primary form of communication on the web is through text which makes typography one of the most important aspects to design for.

Head First Programming - Looking for a reliable way to learn how to program on your own,without being overwhelmed by confusing concepts?Head FirstProgrammingintroduces the core concepts of writing computerprograms -- variables, decisions, … - Selection from Head First Pro…

Udemy - Online Courses - Learn Anything, On Your Schedule

Rationality: From AI to Zombies - How to make good decisions under uncertainty.

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