What I love most about programming is the problem solving. I don’t believe anyone is born with problem solving skills. It’s a muscle that is built and sustained by repeated exercise. Like any exercise, there’s a set of guidelines to help you be more effective at developing your problem solving muscles. I will introduce 5 of the most important software design principles that have guided my problem solving process and show you how to apply these principles to solve a real problem.
JavaScript is one of the most popular and versatile languages today, but when Brandon Eich first created JavaScript in 1995, it was not recognized as a general purpose programming language. JavaScript only ran in the browser and was primarily used to enhance the user interfaces of website (e.g., animation, effects upon hover), thus tightly coupled with the Data Object Model (DOM). In recent years, JavaScript has gotten a lot more useful as a general purpose language as it can be run independently from the DOM and browser. Additionally, JavaScript has also has gotten very sophisticated with the introduction of ES6 and ES7. With that, let’s take a look at how JavaScript can be used to solve fundamental problems in computer science. Specifically, let’s look at how to write algorithms and leverage data structures to help us solve problems using JavaScript.
JavaScript is one of the most popular and versatile languages today. You can build anything in JavaScript: from full stack web apps, to cross platform mobile apps, to cross platform desktop apps. Here are some useful algorithms and syntax in JavaScript to help you be productive in JavaScript right away. No set up necessary. Just open up your browser’s console (hit Cmd+Shift+C if you are using Chrome and Mac) and start typing.