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A set of common UI elements with a hand-drawn, sketchy look. These can be used for wireframes, mockups, or just the fun hand-drawn look. The elements are drawn with enough randomness that no two renderings will be exactly the same â just like two separate hand-drawn shapes. Component Showcase View on Github Sponsor this project Here's a simple demo: Using wired-element controls to change a sketchy
This post was originally posted in May 2018 by Pedro Rolo and updated in May 2020 by André Santos. â When one thinks about ReasonML, the fact that it's backed by Facebook, does not tell it all. It's a technology that evolved over the last couple of years with a lot of potential, not only due to the influence of JavaScript tools, but also on a compiler to native code perspective. In this article, I
Hello! This particular page hash has moved to . Please update the URLs to reflect it. Thanks! type schoolPerson = | Teacher | Director | Student(string); let greeting = person => switch (person) { | Teacher => "Hey Professor!" | Director => "Hello Director." | Student("Richard") => "Still here Ricky?" | Student(anyOtherName) => "Hey, " ++ anyOtherName ++ "." }; type schoolPerson = Teacher | Direct
Math B Bit Manipulation - set/get/update/clear bits, multiplication/division by two, make negative etc. B Binary Floating Point - binary representation of the floating-point numbers. B Factorial B Fibonacci Number - classic and closed-form versions B Prime Factors - finding prime factors and counting them using Hardy-Ramanujan's theorem B Primality Test (trial division method) B Euclidean Algorith
There are many posts and sites comparing fonts for programming and they are all amazing articles. So why I repeated the same subject here? Since I always found myself lost in dozens of fonts and could not figuer out which one was best for me. So today I tried many fonts and picked up the following fonts for you. These fonts are pretty popular and easy to get. And most importantly, all these fonts
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The year was 2012 and operating a critical service at Netflix was laborious. Deployments felt like walking through wet sand. Canarying was devolving into verifying endurance (ânothing broke after one week of canarying, letâs push itâ) rather than correct functionality. Researching issues felt like bouncing a rubber ball between teams, hard to catch the root cause and harder yet to stop from bounci
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