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Lisp is not a programming language, but a family of languages with many dialects. The most famous dialects include Common Lisp, Clojure, Scheme and Racket. So after deciding that I was going to learn Lisp, I had to choose one of its dialects.
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Elm is a statically typed language inspired by Haskell. The natural step would be to use Elm on the frontend and Haskell on the backend. And that's what I tried to do. I read with some difficulty the Learn You a Haskell for Great Good! book (available for free here) and learned a lot of cool stuff. But creating a complete backend using Haskell proved to be more than I could chew. So I decided to look for alternatives...
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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After going through the whole Introductory Guide to the Elm Language and reading the Elm in Action book, I already felt quite comfortable developing webapps in this paradigm. I liked Elm so much that I started a project to teach programming to beginners using this language and made the first classes available on the website elm.dev.br (in Brazilian Portuguese).
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In parallel I decided to learn a functional-first programming language instead of trying to partially apply the functional paradigm in an object-oriented language. After doing a lot of research, I chose to learn Elm. The fact that it is a pure and immutable functional language caught my attention. Also, it is focused on webapps development and, until then, I hadn't found any solution for developing web pages that I liked.
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Lisp is not a programming language, but a family of languages with many dialects. The most famous dialects include Common Lisp, Clojure, Scheme and Racket. So after deciding that I was going to learn Lisp, I had to choose one of its dialects.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
