Codeasy is probably the newest one from the whole list. It is quite interesting educational course because it drives a new concept to computer science studying. You start learning there by reading an adventure story about fighting machines in the future. On your way, you’ll meet challenges that require real coding to solve. The final goal is to save the world from machine invasion. And as a very important side effect – become a software developer.
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If you want to learn how to code, taking your first steps into this huge universe might seem like a daunting, if not intimidating task. Here’s the big secret: There are plenty of free (and inexpensive) resources you can use to give yourself all the help you need, teach yourself new techniques, and make this learning process fun and exciting—as exciting as coding can get, at least.
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Third, Keybr.com lets you introduce as few keys as possible to the lesson, adding more keys automatically when it decides that you are proficient at the current level. When you only start learning it generates lessons with words from a very small alphabet of the most frequent letters. When your typing speed for every key in that alphabet reaches certain threshold, the algorithm adds the next most frequent letter to the alphabet. And so on, until the next letter. This way you will learn the most frequent letters first, and the least frequent ones later.
That's a great list, Kevin. However, nearly all above-mentioned course/tutorial providers provide content for nearly all programming languages/frameworks. Hence a newbie learner would be confused which learning platform to choose out of the lot. For ex. if one is interested in learning Python, all the above-mentioned platforms provide Python courses/tutorials. To solve this dilemma, Hackr.io (https://hackr.io) is the programming community where learners can find the best online programming courses and tutorials recommended by the community. PS: Sorry for the self-promotion ( Am Hackr co-founder) but I thought of informing the readers about the possible solution.
Instead of hyper-focusing on learning a specific programming language, you can also learn to problem solve in a way that a computer will understand. In other words, improve your skills at concepts like pattern recognition, algorithms, and abstractions. There’s also lingo, like loops, which are bound to pop up in any language you use. The better you understand these principles, the easier it will be to learn the next language (and design better products or projects as a result).
As a self-taught programmer, you might also benefit from books that offer broader advice on the profession. You’ll improve your thinking and habits, traits you can apply to any language you decide to learn. Steve McConnell’s 900-page Code Complete: A Practical Handbook of Software Construction (2nd Edition) is considered the definitive guide for best practices, with data-backed advice on everything from project design to debugging code.
Instead, Keybr.com generates random, but readable and pronounceable words using the phonetic rules of your native language. These words look almost natural, and often they really are. Typing sensible text is much easier than repeating random letters, and it helps you to remember frequent key combinations. The latest point is very important. For example, it’s almost impossible for the letter ‘W’ to follow the ‘Z’ in English, and you will never type this combination in Keybr.com. Instead, you will type more common words, such as «the,» «that,» «with,» and so on. And soon you will learn how to type the «th» combo really fast.